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Selenium for Mobile App Testing

All automation development and testing engineers are very well aware of ‘Selenium‘ which is the de-facto testing framework for web applications. With the changing mobile landscape, Appium is the most used framework for testing mobile apps. But is it possible to use Selenium for mobile app testing? The direct answer is ‘Not really’ but there is a long and different approach to this answer.


Appium is the most popular mobile app test framework which can be used to test all native, hybrid, and mobile web apps for iOS and Android. It is also used for mobile web testing that involves testing on real devices and real browsers. The fact is that Appium has got its roots from Selenium and it uses JSONWireProtocol to interact with iOS and Android apps using Selenium’s webdriver.


Appium/Selenium Architecture

In a typical architecture, Appium is an HTTP server written in Node.js that produces and handles multiple WebDriver sessions. Appium starts tests on the device and gets commands from the main Appium server. The server is mainly the same as the Selenium server that gets HTTP requests from Selenium client libraries.


The image below is an example to show how test scripts can run on our pCloudy platform. Don’t forget to watch the video on ‘How to run Appium scripts on pCloudy‘ here.

Now that we know a bit about Selenium and Appium testing framework, let us understand the new term in Android app testing – ‘Selendroid’ which is a framework based on Selenium for automated app testing.


In other words, Selendroid is a test automation framework which can interact with multiple devices concurrently that can be tested without any modifications. It is also known as “Selenium for Android” for testing native and hybrid mobile apps and mobile web.


Let us have a look at some of the features of Selendroid:

a) It is an Open Source and is free to use
b) It supports all Android versions
c) It supports Selenium as a scripting language
d) It supports webdriver compatible languages eg: Perl, Java, C#
e) It can work on both emulators and real devices
f) It works on all native, hybrid and web-based apps
g) It is effective while executing native and cloud-based apps as it supports Selenium grid
h) It is very easy to implement.
i) With its feature called ‘Hotplugging’, it can recognize the new devices automatically.
j) It has a built-in Inspector to simplify test case development.
k) It can support various Android API versions from Android API 10 to Android API 19.
l) It can fully support parallel testing by integrating a node into Selenium grid.

Selendroid Architecture:
Selendroid is based on the Android Instrumentation framework where tests are written using Selenium Webdriver client API, which is also called as Selenium 2 client. Hence, it can be fully integrated with existing Selenium frameworks. It is also compatible with JSON Wire Protocol.

Let us have a look at the architecture of Selendroid:

To conclude, Selenium has paved its path as a de-facto web test automation framework and Appium is providing high-level APIs that can be speedily adopted by Selenium developers, and it helps simplify the tests.

Sign up for Free Trial to test your apps on real android and ios devices. Click Here.

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13 Benefits of Automation Testing

With an incessant advancement in technology and mobile eco-space, it is becoming extremely challenging for companies to maintain the quality and efficiency of mobile app development. Testing being one of the major business critical activities is often neglected because of the time and cost limitations. This ultimately leads to a compromised product quality, dissatisfied customer, delayed delivery and an increase in the overall quality costs. The major reasons for an increase in costs can be an ineffective test strategy, underestimated effort of generating a test case, delay in testing or keeping pace with the device fragmentation. Test automation helps to better the development process of a mobile app in multiple ways. Test automation is generally associated with increased effort and the results pay off quickly in return.


Let us now have a look at the benefits of testing automation:


1. Faster feedback: Automation of testing actually comes as a relief for development and testing engineers during different phases of an app development life-cycle. It helps to better the communication among coders, designers, product owners and rectifies the potential glitches with no delay. It also increases the efficiency of the development team.


2. Saves time: Writing codes in manual testing is a tedious process especially when the testers have to write long scripts while doing regression testing. The requirement of fast bug free delivery of apps is not fulfilled and companies have to suffer business losses.


3. Early Bug Detection: Unlike manual testing, bugs can be detected early during the development phase in an automated testing which saves a lot of time during Mobile app development life-cycle for both developers and testers.


4. Re-usability of Scripts: Testing automation makes the lives of the testers easy. The scripts can be reused with no or minimal changes in the script. These scripts can be used multiple times no matter if there are changes in the OS version of the device. The scripts and steps are stored and it helps to repeat the test without skipping or forgetting any step.


5. Running tests anytime, anywhere: Automated testing help test engineers to run their tests 24/7. If the test engineer has to leave early for the day, he can easily schedule the tests and leave the office. The test results will be ready by the time he logs in again next morning.


6. Distributed Test Execution: Automation testing cuts down complexities with its distributed test execution feature. It helps the testers to run a test script on more than one computer or shared network or servers simultaneously. So, only an automation testing tool is the requirement rather than multiple tools.


7. Robust and simpler reporting: Automation testing gives us the benefit of tracking each test script. All the test scripts executed will be visible in visual logs. The reports generated can evidently show the number of test scripts already executed, scheduled, their reported bugs or issues and the ways in which they have been fixed.


8. Testing Capabilities: Automated testing offers an unmatched and huge testing capability. The mobile app needs to be tested on multiple devices, OS versions, screen sizes etc. which can be efficiently done through automated testing and not by manual testing. In fact, it is almost impossible to get perfect results through manual testing.


9. Better Test Coverage: Test automation can easily execute thousands of different complex test cases during every test run providing coverage that is impossible with manual tests. It can only be possible through automated testing as it can run test scripts on multiple computers with varied configurations. It can look inside an application and see memory contents, data tables, file contents, and internal program states to determine if the app is functioning as expected.


10. Less Manual Effort: If an enterprise has implemented automation tools for testing, then it can accelerate the process and reduce the manual effort multi-fold. Less number of people will be required for a project and they can be utilized for different projects.


11. Improves Accuracy: We have been saying this time and again that automation testing overcomes the shortcomings of manual testing. It has improved the accuracy to a great deal by giving error-free results unlike manual testing where testing is error-prone, delays the delivery and increases the cost. It is especially a boon in stress testing where getting error free results in manual testing is almost impossible.


12. Return on Investment: One of the most important advantages of automation testing is the return on investment to the organization. Every enterprise analyses the return it would get out of its investment and then would go for creating a test automation framework. Automated testing offers immense returns in terms of faster testing, error-free results, less manual effort. If the enterprise has automated testing tool, then the testing would be more efficient and accurate and easy.


13. Volume: You can run your tests on more than 500 devices in automation testing which is impossible in manual testing.




Automation testing not only helps in saving time and improving accuracy, it does value addition to all the stakeholders involved in the app development life cycle. Although testing automation offers such huge benefits, but many organizations have not adopted it in its entirety because of its initial cost associated with its configuration. With Agile testing and DevOps methodologies being widely followed in the IT industry, it is advisable to automate your testing processes completely with renowned automated testing tools to get the best results.

Sign up for Free Trial to test your apps on real android and ios devices Click Here.

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Cloud Security Testing 768w, 1024w, 1200w" sizes="(max-width: 1200px) 100vw, 1200px" />

An IDC survey states that 87.5% of IT cloud computing businesses are concerned about Security Issues.

Let’s start with some greatest Cloud Security Breach instances!!!

  1. Anthem’s Breach and the Ubiquity of Compromised Credentials
  2. Amazon Cloud Horror – The demise of Code Spaces
  3. Apple iCloud suffered the largest high-profile cloud security breach
  4. Target security breach compromised up to 70 million customers’ credit card information during the holiday season
  5. Home Depot suffered a similar fate with more than 56 million credit or debit cards and 53 million emails compromised

Cloud Security testing is very much crucial to assess the security level of the system hosted in the cloud. This requires ensuring ongoing defensive security controls and proactive regular assessments to check the apps ability to withstand the data breach threats.

The cloud security testing team should ensure if the cloud deployment is secure and should give actionable remediation information when it is not complying with security standards.

The team should proactively conduct, real-world security tests using the techniques used by hackers seeking to breach the data in cloud-based systems and applications.

The Five Cloud Security Testing Essentials for Consideration

Listed are the five essentials to be considered while adopting security testing strategy for cloud-based applications:

  1. Scalability – The testing solution should be rapidly scalable with respect to the application while developing business needs without causing configuration and performance issues.
  2. Availability – Availability of security testing teams working around the clock. This calls for strong test management via access to centralized test dashboards with features of effortless collaboration.
  3. Speedy – Testing should be fast with short turnaround times and should have the ability to run parallel testing. This is required especially when most of the organizations are adopting agile methodologies.
  4. Quality – The most important factor is that the testing should be able to make triaging of false positives and false negatives simple and fast. The reporting should include contextual, actionable guidance, empowering development team to resolve identified issues.
  5. Cost – Agile methodologies not only require rapid testing but also require multiple iterations of security testing. These iterations should not incur undue incremental costs.

Cloud Security Testing Approach

  1. Proactively verify the security aspects of the cloud-based systems and applications against current security hack techniques
  2. Safely identify and validate critical cloud service vulnerabilities
  3. Measure the susceptibility to SQL injection, cross-site scripting, and other web application attacks
  4. Get actionable security information necessary to apply to the patches and code fixes
  5. Verify security posture of systems and networks

Cloud testing activities do hold some challenges; your organization can overcome these hurdles. It’s imperious that the right software testing service provider would be able to ensure cloud security around applications, services, and data.

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Testing for IoT Success

Testing for IoT Success IoT

Internet of Things – is slowly, surely and intricately connecting gadgets to our lives. Be it vehicles, home appliances, medicinal equipment or embedded electronics, microchips have enabled collecting data and controlling devices remotely over a network. It could be in the form of Wearable gadgets such as lifestyle and healthcare devices that help capture data about different health parameters, displaying them and even notifying healthcare professionals when needed. Industrial and Community conservation and safety devices that detect movement and switch lights on or off, cut off supply, manage traffic signals among many other functions to improve the use of energy. Such devices have transformed the way industry works. Cisco believes that the economic value added by the “Internet of Everything” will be nearly $19 trillion by 2020, while a McKinsey Global Institute research report suggests it will be $6.2 trillion by 2025. In any case, it is a very large number, and dwarfs past technology trends [e.g. $150 billion for Fintech by 2021 as per a PWC report; Cybersecurity, at nearly $1 Tn, as reported in PR News Wire.] components for IoT testing The Stumbling Blocks However, this journey to achieving the lofty goals is fraught with challenges: First is the lack of uniform standards and protocols, which are also difficult to achieve because each device is one of its kind. This causes different devices to use different network technologies and operate on various networks. This is becoming more of a problem since devices are starting to interact and execute pre-determined decisions and pre-programmed inbuilt logic. Compatibility and behavior become suspect and need to be tested for consistency. Traditional frameworks are not yet capable of capturing, routing, analyzing data, and providing insights for meaningful business decisions. This also makes managing the data difficult, needing huge storage, strong data management, and analytical skills. Privacy and security concerns will become a major concern in the IoT ecosystem. There have been several instances of hackers taking over unsecured webcams to spy on the owners. For homes to remain a haven, IoT developers have a responsibility of ensuring their products and solutions are immune to access by the undesirable intrusion. The huge amount of data that sensors generate every millisecond introduces several complexities in managing it. The 4 Vs of Big Data: Volume, Velocity, Variability, and Veracity will have to be dealt with efficiently. Different resources and technologies need to be integrated as IoT straddles different types of devices. Some of the technologies typically used in IoT include: IoT communication RFID (Radio Frequency Code) tags and EPC (Electronic Product Code) NFC (Near Field Communication) for facilitating two-way interactions between the devices. Bluetooth to enable short-range communications mostly in wearable technologies. Z-Wave, a low power RF communication technology for home automation, lamp controlling etc. WiFi for transferring files, data, and messages seamlessly. Sustenance is yet another challenge as many device makers are startups that may or may not be able to sustain in the long run, or may get taken over. Failure to map or incomplete mapping of relevant systems to IoT deployment contributes to device failure. The Rollout does not typically consider the practical use of the IoT devices or how they will play into the daily life of the users. The focus is on the flash rather than the substance – it will take time for the useful business processes to be identified and put into place. iot-lnterlink During a Cisco survey of 1,800 IT leaders in the US and UK, a strong message that emerged is that one needs to be ready for the failure of IoT initiatives. As many as 60 percents of IoT projects could not scale up after the proof of concept phase. The survey also revealed that nearly 75 percent of IoT initiatives are business failures. Some of the factors that this study identified include The initiatives take too long The enterprise has limited expertise Data quality is suspect Poor integration across teams Budget over-runs IoT layer Testing to Clear the Path The causes could be rooted in poor project management, architectural development without foresight, or during the rollout. While some are dependent on business decisions, the technology aspects can and should be tested in a timely manner as well as periodically on an ongoing basis. Without a doubt, the IoT solution needs a comprehensive testing plan that includes Requirement validation Pilot Testing to verify business value Usability testing Security Connectivity Performance Compatibility Testing Regulatory Testing, especially for healthcare, financial and wherever applicable Upgrade testing Periodic audits of systems, hardware, and sensor nodes While a start-up may ambitiously decide to integrate testing with development, an external testing partner with a cross-domain, technology, and protocols experience can help improve the chances of success of the initiative. Involving the testing partner right at the project planning stage can help anticipate and incorporate course correction at every stage to minimise the cost and time of development. It also frees up resources for research and development, while the testing team provides the inputs needed to make it a high-quality product. Thanks for reading!!! Wearable-Tech Are your Interested in hearing more about us? Contact Us now

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Mobile Testing – The Next Frontier

moblie-testing-frontier 768w, 1024w, 1200w" sizes="(max-width: 1200px) 100vw, 1200px" />

Take a look at this: Over 1 billion smartphones and 179 billion mobile applications downloaded every and growing! Right from gaming, to e-commerce, finance management, healthcare, education, and social media, the phone has replaced many of the other devices, bringing services to the fingertips of the users.

Broadly five factors that contribute to this growth of mobile technology include:

  • Internet of Things: The number of connected devices is going up, and the mobile device has a greater role to perform, being literally the key to unlock and access these devices as businesses build mobile apps that can smoothly integrate with the various connected devices. According to McKinsey, the total IoT market size is expected to grow at a CAGR of 32.6 percent from $900 million in 2015 to $3.7B in 2020. General Electric expects investment in IoT is touch $60 trillion in the next 15 years. IHS predicts that the installed base for IoT will grow from 15.4 billion devices in 2015 to 30.7 billion devices in 2020 and 75.4 billion in 2025.
  • Mobile Payment: As e-commerce matures, the next frontier in retail and mobile is mobile commerce, enabling customers to leverage fintech solutions and carry e-wallets, payment apps that make purchasing and making payments on the go easy. Statista projects worldwide mobile payment revenue to grow from $450 billion in 2015 to $1 trillion in 2019. One report in Invesp suggests that from the 1.6 billion people who use their mobile devices to shop online globally, it is expected to be over two billion before the end of 2017.
  • Social Media – The greatest hook of all is the social media, and it is not just about staying connected anymore. It offers great potential to promote and advertise, and the advertising revenue of social networks worldwide is expected to grow from $25.14 billion in 2015 to grow to $ 41 billion in 2017, according to Statista.
  • Speech Recognition – Technavio reports that the global voice recognition market to reach $113.2 billion in 2017 at a five-year CAGR of 16.2 percent, with one of the key growth factors being the increasing demand for voice biometrics, especially for mobile devices. Recently, iOS and Android provided improved speech recognition feature, enabling users to operate their devices by giving voice commands instead of the manual operation of apps.
  • Use of Mobile Cloud Platforms – While cloud computing on the desktop has stabilized, the benefits are rubbing off to the mobile space as well, providing enterprises and consumers access to offerings from the cloud vendors, telecom network operators, and application developers and merchants. The global mobile cloud market is expected to grow at a CAGR of 37.8 percent from $9.43 billion in 2014 to $46.90 billion by 2019, according to Markets and Markets.

Beyond Functionality

Yes, the story looks good for mobile apps vendors. As Big Data analytics backs research and development efforts, making regular updates, new features and new products within short spans of time a possibility, the challenges to customer experience and a functioning app remain just as high as before.

mobile-testing-services 300w, 50w, 65w, 450w" sizes="(max-width: 360px) 100vw, 360px" />The rapid developments integrating mobile and internet technologies require a revamping of the QA strategy. QA has traditionally focused more on functionality testing, but the success of an app is determined by several other factors that, if untested, create hurdles in smooth user experience right from the word go.

Some of the challenges are:

  • Related to installation/uninstallation due to Play Store/Apple store crashing, OS Installer not supporting the app, not creating alerting in case of insufficient storage.
  • Related to interruptions at the time of incoming call or message, low battery, etc. while accessing the app.
  • Related to compatibility such as varying performance on different mobiles at different points.
  • Related to interface issues that require compliance with standards
  • Related to user experience issues caused by a gap between user expectations and app design, repetitive processes, usage varying patterns not accounted for in the UX, accessibility issues, etc.
  • Related to performance, such as ease of completing a transaction and response times.

Any of these or more can act as desperados, changing the perception about the brand and cause customers to discard the app, thereby affecting their growth.

A Strategy for Comprehensive Testing

The QA has a critical role to play in the success of any mobile app, in addition to standard functional testing. A QA strategy that is comprehensive and includes every scenario critical to providing users a smooth and hitch-free experience needs to be devised right at the start.

At Indium, based on our experience, we have created dynamic jumpstart kits that comprehensively provision for new trends that can help developers and testers anticipate and address challenges right at the development and testing stages, thus ensuring the unhindered performance of the app, appropriate user interface and great user experience. Our research and development constantly update these kits based on anticipated design, UI, UX developments, thus reducing testing cycle times. Sharing these jumpstart kits with developers helps them comply their app development process with requirements, thus addressing possible challenges at the development stage itself, creating a robust app with all critical issues having been resolved before a formal QA.

Indium also is a certified compliance tester, following the UI standards laid down by different OS, which has been coded in its IP-driven iMobi automation testing framework. In addition to ensuring compliance, which further boosts user experience, test automation also ensures early release by shortening the testing process, and resulting in improved customer loyalty and expanding the business.

Indium is supported by a testing lab with a large range of mobile devices to test in real time and has qualified and experienced mobile app testers backed by constant research and development to help the Indium team to capture new and unexpected errors as well as use the best in class testing solutions for optimal results.

Working more as partners in development, Indium through its IP-driven mobile testing framework and experienced testers ensures that both developers and users get the best of the latest developments in the communication and web technology

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What things should you consider before outsourcing testing function? This is a very common question because a lot of people are not very technical and they don't know or understand how all the nitty-gritty stuff works.

More on our blog -

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An IDC survey states that 87.5% of IT cloud computing businesses are concerned about Security Issues.

Let’s start with some greatest Cloud Security Breach instances!!!

  1. Anthem’s Breach and the Ubiquity of Compromised Credentials
  2. Amazon Cloud Horror – The demise of Code Spaces
  3. Apple iCloud suffered the largest high-profile cloud security breach
  4. Target security breach compromised up to 70 million customers’ credit card information during the holiday season
  5. Home Depot suffered a similar fate with more than 56 million credit or debit cards and 53 million emails compromised

Cloud Security testing is very much crucial to assess the security level of the system hosted in the cloud. This requires ensuring ongoing defensive security controls and proactive regular assessments to check the apps ability to withstand the data breach threats.

Mobile Resting in Real Devices

The cloud security testing team should ensure if the cloud deployment is secure and should give actionable remediation information when it is not complying with security standards.

The team should proactively conduct, real-world security tests using the techniques used by hackers seeking to breach the data in cloud-based systems and applications.

The Five Cloud Security Testing Essentials for Consideration

Listed are the five essentials to be considered while adopting security testing strategy for cloud-based applications:

  1. Scalability – The testing solution should be rapidly scalable with respect to the application while developing business needs without causing configuration and performance issues.
  2. Availability – Availability of security testing teams working around the clock. This calls for strong test management via access to centralized test dashboards with features of effortless collaboration.
  3. Speedy – Testing should be fast with short turnaround times and should have the ability to run parallel testing. This is required especially when most of the organizations are adopting agile methodologies.
  4. Quality – The most important factor is that the testing should be able to make triaging of false positives and false negatives simple and fast. The reporting should include contextual, actionable guidance, empowering development team to resolve identified issues.
  5. Cost – Agile methodologies not only require rapid testing but also require multiple iterations of security testing. These iterations should not incur undue incremental costs.

Cloud Security Testing Approach

  1. Proactively verify the security aspects of the cloud-based systems and applications against current security hack techniques
  2. Safely identify and validate critical cloud service vulnerabilities
  3. Measure the susceptibility to SQL injection, cross-site scripting, and other web application attacks
  4. Get actionable security information necessary to apply to the patches and code fixes
  5. Verify security posture of systems and networks

Cloud testing activities do hold some challenges; your organization can overcome these hurdles. It’s imperious that the right software testing service provider would be able to ensure cloud security around applications, services, and data.

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A quality assurance service provider in India offers the best quality assurance services in the world. QA testing companies in the country are CMMI Level 3 certified, undertaking QA Testing Services as an important aspect of each project. Indian service providers adhere to industry standard testing methods to help clients meet their quality assurance goals. Furthermore, the QA experts are proficient in several software testing technologies and services, platforms, tools and standards, enabling them to apply integrated testing methods and best solutions.


There are various reasons why software testing is an important part of software development. Testing a software system is very important due to the following reasons:

1. Testing is extremely important to provide high quality software app or product which needs lower cost of maintenance and thus results in more consistent, accurate and reliable results.

2. Software testing is truly important in pointing out the errors and defects made during development time.

3. Testing ensures satisfaction in the app. Quality products deliver4ed to the customer or user helps get their faith and confidence in the system.

4. Testing is needed for an effective performance of application. It’s important to ensure that the app will not result in failure since later it would cost a lot for the company.


Quality assurance outsourcing is a wonderful way of giving specific projects the needed attention from experts in the field. Organizations outsource to stay on the competitive edge. Furthermore, outsourcing could free up internal resources to concentrate on core business aspects and boost efficiency. In this regard, India has created a name for itself in the field of outsourcing, particularly in the IT industry. Why India? Here are the top five reasons to outsource QA in the country.

1. Pool of talent. India currently has thousands and thousands of engineering colleges that graduate more than half a million graduates each year. Most of the graduates hold other specialized degrees, pursue different training and certification programs and constantly trying to update their expertise and skills.

2. Less communication barriers. Communication between teams and across the different layers of the company is essential for business success. More than 350 million people in India are fluent in English. Due to this, communicating with an offshore team will not be a daunting task.

3. High quality service. Although having raw talent is one thing, providing high quality services is another. India does not fail to deliver on this end. Quality assurance testers I the country have access to the latest technology, infrastructure and software and not afraid of using the tools to their advantage.

4. Cost-effective. Since labor cost is much lower in the country, partnering with an offshore QA team could be extremely cost-effective. The pricing flexibility could help a company be more creative while managing budget allotting more resources to core business aspects.

5. Government support. The government of India has supported the IT field in an impactful way. The government has not only named the IT sector as one of the top five priorities, they have also implemented the National IT Task Force, a group that is dedicated to promote information technology in the country.

Providing a company access to the hardworking, best, enthusiastic talent pool available, could give peace of mind for upcoming projects. Although there are other countries to consider when it comes to finding a software testing company, India is the best choice available. This is because the country encompasses not only great talent, but government support as well as other features that enable an organization to outsource with ease. Outsourcing to India not only provides top-notch service that’s cost-effective, but could directly affect the success of the business as well.

A great benefit of outsourcing quality assurance function to an external company is that testers that check the code have years and years of experience with a wide range of software types and testing methods. They would have a lot more flexibility when it comes to how they test, and tools that they have access to. This enable them to do incredibly complete testing on the software, leaving one with a product to be proud of.

Indian QA services are probably the best option that an organization will consider. As the outsourcing destination in the world, software testing service providers in the country provide only the best and highly effective solutions possible. A lot of big companies prefer to outsource their software testing processes and requirements to a quality assurance company in the country.

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Android now occupies the number one place in the world Smartphone arena with a market share of 87% at the end of 2016 that means 9 out of 10 Smartphones in the world run on Android. With such dominance in the space, the creation of mobile apps has reached never before heights. But the constant innovation that fuels this market has major problems in terms of the development and testing timelines. Running an online Android emulator, which used to be a solution once up a time, is not good enough anymore. So what can companies and developers do to stay ahead in the development race? What alternates exists to improve your app’s usability, performance and customer satisfaction? Let us explore.

With the explosion of Smartphones, customers’ screen size is reducing. People are moving from desktops and laptops to Smartphones for their everyday work and personal needs. This massive shift from big screens to a personal device has created a huge opportunity for developers to create tools that can help people with their work and their personal needs. Users can now view their spreadsheets and book movie tickets from their phones.

Apple’s Appstore and Android Play store has become the ‘go to’ place for people to discover apps that meet their requirements. The ratings left on those apps will decide how many people will install those apps. Customers have once again become the king of the market.

Days of unique apps are over. For your every need you will find at least two or more apps, giving you a choice. So if you want people to choose your app, install it, use and positively review it, your app needs to user-friendly, work on most handsets and be bug-free.

In the past, companies and developers determined a product lifecycle. They planned the updates, feature upgrades etc based on the resources and other factors. Today the scenario is changed. The Market dictates the timeline. If your app is incompatible with the latest OS, or not render properly, or suck a lot of battery juice, off it goes into oblivion to be replaced by a better app.

The fight for the screen space is constant.

You can win the fight only if you develop faster than others, test it better and offer a good user experience. That means developers will need to compress their development cycle and testers should speed up their testing while at the same time, maintain high usability and reliability of the app.

Android and iPhone both offer an easy to use platform for developers. iPhone has a few products (IP6, IP7, IP8 etc.) and versions (OS 8, OS9, OS10 etc). The permutation of devices and OS makes testing with real devices easier although buying that many Apple devices is quite an expensive investment. You don’t need an online emulator while testing for iPhone.

In contrast, Android has a highly fragmented market. Apart from different versions (KitKat, Jellybean etc), there are different forks of Android (Stock, Cyanogen, OxygenOS etc) and there are also different skins that manufacturers put on their devices (TouchWiz, Optimus, Sense etc). Real android device testing to cover all the combinations is close to impossible and quite expensive.

Enter Online Android Emulators

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When they started, online Android emulators were like a boon to developers. They could cross test their apps across different devices without physically buying the phones. Most of the Android emulators were easy to set up and a fairly inexpensive solution. Most importantly, online Android emulators could mimic hardware and software behaviour making easy for developers to identify unexpected behaviour during the early stage testing.

But as the market for apps grew, the demands on the app became even higher. Testing all the features of the app on an Online Android Emulators was not providing the full picture of the how the app would behave on a customer’s phone.

For example, a user installs a new app on the phone and the next day he notices the battery is getting low very fast. Looking at the battery usage, he discovers the culprit is the new app and bam! He hits uninstall. He then visits the Playstore and writes a negative review of the app’s battery-sucking problem. The next 20 people who see that review will not install the app.

These kinds of bugs cannot be easily identified using an online Android emulator. Apart from that, online emulators are slow because they have to replicate both software and the hardware components. thus slowing down the whole testing cycle.

Online Android emulators also have other limitations that make them unsuitable for large-scale testing. There are a limited number of OS versions you can run on an Android emulator. Even on a good PC with HAXM acceleration support, you can run approximately 8 emulators at a time. Even if you manage to set up all the online emulators you need, one small problem can send the whole system crashing forcing you to start all over again.

So what can app developers do to speed up their product lifecycle while releasing a relatively bug-free app? Is there any alternative for Online Android Emulators?

real mobile android and ios devices 300w, 768w" sizes="(max-width: 800px) 100vw, 800px" />

Testing on real devices has a few important benefits. Your testing can be in real conditions i.e. weather, location network accessibility, interruptions like SMS, calls etc can be tested accurately. You can also validate the screen brightness, visibility in different lighting conditions. Testing on a real device will be a lot faster than on an Android emulator.

The biggest problem in using actual android phones is the cost of buying all the phones you need to test. There are approximately 11k Android phone models in the market making it financially impossible to test on all available Android devices. This is one reason Online Android Emulators became famous in the initial stages.

You can run only one test at a time. If you have staff in another city or country, they cannot access the device. If you need to install an app, you have to do it manually on every device. Apart from that, there is also a question of logistics, maintaining the devices, updating them, etc all of which are time-consuming tasks.

One tactic used earlier involved a combination of using online Android emulators during the early stages and a small selected list of real Android devices during the beta testing. While this would work for a localized team, it still does not optimize device usage and covers a tiny portion of devices while the fragmentation continues. Thus it is not an optimal solution.

Is there a third alternative that can beat the disadvantages of online android emulator and real devices testing?
In the recent times, a new mode of testing is gaining popularity among both amateurs as well professional developers. It is called Mobile cloud testing.

What is Mobile cloud testing?

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Testing on real devices using the cloud as the Interface is the new way of balancing the real android testing while making it economical and scalable. As a developer, you need not own any phones or buy expensive software. You connect to a lab that has a huge selection of Smartphones, select the ones you want to test on and start, it is that simple. You can run functional tests, automated tests, performance and other forms of tests easily. Since the interface is cloud-based, you can test from anywhere in the world, at any time.

There will be some changes in the way you set up your test, install an app, etc. All the testing though will happen on actual devices under user-level conditions. You can set the location, observe CPU utilization, battery drainage and pretty much anything else that you can do with a device in your hand. These are the things you can never test with an online Android emulator.

The best part is that you need not invest in any special infrastructure for such a facility. There are independent services providers who can allow you access to the device on a cost per use basis. You can even reserve devices in advance if you want to plan a battery of test over an extended period.

Opting for mobile cloud testing service gives you access to real devices at a fraction of a cost of setting up your own lab. There are no recurring charges as most of them use a ‘pay as you go’ model. You can spend all your time in testing rather than worry about the infrastructure, maintenance and other problems that come from the ‘owning’ model.

While there may not be a cost associated with getting Android emulators, they need a lot of expensive hardware to run a sufficient number of online android emulator. Mobile cloud testing does not have the problem.

Using Mobile cloud testing, you can cover more ground over a large number of devices than if you were using either only real android device testing or the online android emulator. For example, if you have 10k scenarios to cover, you can spread it over 1k devices through automation rather than 1k test scenarios over 100 different online android emulator.

One of the biggest benefits of testing mobiles over the cloud is that you are more likely to discover bugs that affect real-world customers than what an emulator can reveal. From a user satisfaction perspective, this is probably one of the biggest advantages mobile cloud testing has over online android emulator.

Most of the app development work has moved to the agile methodology which means testing will run almost parallel to development work. You will need a way to speed up the testing process to meet the sprint deadlines.

Using a mobile cloud, it is easy to streamline the testing process whether you are using a DevOps or an agile approach. Continuous testing is a lot easier to streamline over the cloud setup rather than via online Android emulators or even with real devices.

Many development teams are spread across the globe. Cloud setup gives them an easy way to test seamlessly from different geographies.

Security for Mobile apps testing

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Different apps have different needs in terms of security. An Astrology app that gives general predictions may have little data security requirements while a banking app might need the testing to be done in a secure environment. Such clients can always go for a private cloud or even opt for on-premises setup. When you use a good solution provider, you can just hook up your existing devices to their setup and give access to your cross-border teams to test on the devices.

Testing performance issues, be it CPU load, battery discharge or performance over 2G, 3G and other networks work a lot easier when you use the mobile testing via the cloud platform. You can select which network mode you want to be on and apply the test. This kind of flexibility is difficult and sometimes, impossible using an android emulator.

Mobile Apps Performance Testing

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Apart from the need to test for compatibility with existing apps, battery usage, network usage etc, and mobile apps will need to go through a round of performance testing. Due to the ever-increasing storage space in a Smartphone, users tend to store a lot of content on their phones. So it is necessary to find how the increase in storage affects the application performance.

For example, if you are developing a photo gallery, how does your app perform when accessing 5 GBs worth of pictures and videos, v/s accessing 50 GBs worth of pictures and videos? Does it slow the pre-fetch? Customers are very unforgiving of apps that slow down their phones.

In case your app has a server-side component, it is important you run a performance test to verify how many concurrent users the server can handle. There have been many instances where e-commerce sites crashed being unable to keep up with increased demands during holiday sales.

These are a few areas that we cannot test on an online android emulator.

A customer kept waiting is a customer lost

A couple of years ago, it was acceptable to wait for two-three minutes to download an image on a phone. But today if your app takes longer than few seconds to start up, it is killed and replaced. The tide has shifted to the customer’s side in the Appstore and Playstore. The only way to win this game is to be Nimble, easy to use and not crash the phone.

Thanks to Mobile cloud testing, you don’t have to wait for the slow, unreliable online Android Emulators anymore. Testing on Mobile cloud gives you the opportunity to cut your infrastructure cost, speed up your testing cycle, spread your testing over a larger set of devices and gives you close to real-world results. As the completion heats up for the screen space, you have one tool in your kit that can help your app survive the tough jungle of user reviews.

Sign up for Free Trial to test your apps on real android and ios devices Click Here .

Mobile App Testing , Android App TestingiOS App Testing , Mobile App Testing ToolsAutomation TestingApp TestingMobile Responsive TestTest my appTest an app

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A software, no matter how it may be intuitively designed could not perform its functions if there are technical flaws and hitches. Thus, it is crucial for a software product to undergo a QA testing service. The number of enterprise and consumer mobile apps have exponentially grown over the years, leaving the end user with humongous amount of applications to choose from. Nevertheless, how does a user choose the app that will take up precious space on a device? The key is the quality of the app and could only be achieved via mobile app testing.


The success of an app could be measured by the amount of downloads, positive comments and fast implementation of bug fixes and new features. Testing an app should be done by a reliable software testing company. The practice allows delivering better software and helps the app to be successful through testing its usability, functionality and consistency, growing the user base.

In fact, testing is an integral part of each software development process and with mobile applications has become much more relevant. The growing number of mobile phones and devices leads to a massive fragmentation of screen sizes, operating systems, standard OS variations and more. With agile processes, testing is done every so often to ensure the best quality possible. Bug fixes and new features should be released with short intervals to that users will not lose interest and new features must not bring new bugs. Testing is vital for the survival of an application.


QA testing companies admit that there are main challenges in mobile application testing. Mobile app testing is more complex compared to traditional desktop and web apps testing and has its own challenges. The greatest challenge is the number of different mobile devices around. All the devices have different shapes, sizes, software, software version and hardware and it requires testing enough devices to ascertain that majority of users are happy. Some challenges include the following.

1. Multiple mobiles. There are a lot of mobile devices released regularly. The devices include smart phones, regular handsets, iPhones, tablets and iPads. It is not a guarantee however that the device would perfectly work fine on another device. The reason is that the hardware and screen resolution is different.

2. Wide range of mobile applications. Testing these kinds of mobile applications, which are native application, hybrid or web app varies from one another due to their application.

3. Device segments challenges. One of the concerns in device parts is the testing matrix. While an iOS device is increasing daily, these segments pose huge challenge for the Android OS and the engineering teams. Also, it has challenges in terms of suitability issues.

4. Several testing tools. There are quite huge varieties of mobile application testing tools available, whether free or paid for a web app, native app, Android or iOS. It is thus important to make inquiries on one that suits the device or devices.


Manual Testing

This approach is a human input, evaluation or analysis. Its user centric that focuses on explorative ways of monitoring if a mobile app meets the user expectations and requirements. The app should be tested for the feel and look for usability, ensuring that it is user friendly. Manual testing should not be used on all testing, but just around 20 percent of them, the rest would do fine with automated testing.

Automated Testing

It is another mobile app testing approach. Ideally, one should set up as much cases as possible, which enable one to automate around 80 percent of testing. There are particular test instances that must be automated, such as:

  • Automate test cases with predictable results
  • Automate most frequent test-cases
  • Automate the most tedious manual testing cases
  • Automate test cases with predictable results
  • Automate functionality that’s frequently used
  • Automate test instance that are impossible to do manually
  • Automate test instances that run on various software or hardware platforms and configuration


Many organizations opt to outsource their QA testing process, which makes a lot of sense. Overall, outsourcing the process to a reliable service provider is the best option to go for.

1. Reduce staffing expenses. While development resources are costly enough to maintain in-house, an outsourced QA team could help a business allocate funds better toward the development, depending on priorities. In limited funding, most organizations prioritize actual product development over testing. Often, QA gets the short end of the stick. Outsourcing could bridge the gap.

2. Free up development source to iterate. Inspiration strikes at all hours in the mind of a software developer. The solution could come in the shower, morning commute or any time. Knowing that a new feature or fix could be handled off to testing, while a developer keeps moving on with the process could truly help create and keep momentum.

3. Overnight test results. A lot of offshore QA teams are up to twelve hours out of phase with the time zone, meaning that the development team could submit code for resting at the end of the day, and arrive in the morning to find the results already.

4. Domain expertise. Typically, outsourced QA teams have exposure to a huge range of domains, which make it easy to assemble a pool of industry savvy source to test a current project. This natural expertise significantly reduces the cost associated with product training and provides accurate testing results much quickly.

5. Objectivity. It is very easy to lose sight of the forest of trees when it comes to one’s own creations, which is why QA and development teams typically have been kept separate and somewhat in adversarial roles. An outsourced testing team could provide ultimate objectivity and a fresh eye on a project. Ideally, someone else should check the work because that someone else is more likely to spot flaws.

Mobile application testing is essential before an application is launched since it calls attention to errors made when the app was still in the development phase. Also, testing is relevant since it helps reassure a client on dependability and fulfillment in the application.



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Mobile apps can often crash for many reasons. Nothing is as excruciating as memory leaks. It starts with your app crashing often, or becoming slow or maybe making your entire phone slow down, taking longer time to load activities. Memory leaks are notoriously hard to detect, and thus can easily surprise you. Have we ever thought why most of the users uninstall the application after some use?

Which is why it is critical for Developers to understand the memory consumption by any mobile application. How do you detect memory leaks during Mobile Application Testing? And if so, how can you prevent them from hogging mobile resource consumption?

A little knack for Mobile Application testing always comes handy.

Memory is critical to device

Memory is one of the key resources of the mobile device.And memory leaks in Android is an important thing to be kept in mind. Java is a garbage collecting language, which removes the need for developers to dig deep to manage allocated memory. This reduces the chances of any segmentation fault crashing an app or any unfreed memory allocation from eating up space of the heap area, thus creating a safer code.

However, a garbage collector is never an insurance against memory leaks. There are other ways by which memory can be leaked within Java. This means that your android mobile application is still pretty prone to wasting unnecessary memory allocation and crashing with out-of-memory (OOM) errors.

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Figure 1: Image Credit- Toptal

Why are Memory Leaks Bad?

Cause:Memory leaks occur when some variable of the application still has references to some objects that are unnecessary, no longer in use or used to be with the app anymore, is bloating the allocated memory heap and the Garbage Collector is not being able to release that memory.

Effect: Android devices mostly run on phones with limited memory, so as a result of too many leaks, the app runs out of available memory. This triggers more frequent Garbage Collector events which paralyze the device (Stop-the-world GC events) by almost stopping the rendering of UI and processing of events. This leads to an Out of Memory Exception and translates to the user as the app being unresponsive.

Testing for Memory Leaks

Android App Testing

Memory Leaks are caused by the failure to not be able to de-allocate memory that is no longer in use, which is why they cannot be identified during black box testing. The best phase to find the memory leaks is when developers are developing the application, at a code level.

It’s best to check for memory leaks during unit testing. However, testers can follow these tips:

Release Unused Memory: Memory leaks can be present because of the bad design of the application and thus might consume lot of memory when the application is in use

Test on Multiple devices:The memory consumption by the application should be monitored while doing the system & functional testing. One shouldn’t rely on a single device testing as there are plethora of devices in the market.

Detecting Memory Leaks

There are quite a few techniques and tools devised by developers to pin point memory leaks. Android’s very own Android Studio has a powerful tool to monitor not only memory usage but also for network, GPU and CPU usage as well, called the Android Monitor.

Memory Monitor in this helps track memory usage, find de-allocated objects, identify memory leaks and helps get an overall sense of how your app allocates and frees memory. It’s done in three steps:

1. During and use and debugging of app, track the memory monitor. If the memory usage graph rises for your app and doesn’t fall even if put in background, it’s a memory leak.

2. Using the Allocation tracker, you can check the percentage of memory allocated to different types of variables in your app. This gives you a sense of how much memory is consumed by which object.

3. Create a Java Heap Option to create a heap dump that keeps a snapshot of the memory at any given point of time, thus providing the data consumption data.

Despite Android’s monitor to detect memory leaks, there are a few platforms from developers that help extract memory consumption data without so many steps for faster testing cycles.

pCloudy’s very own platform for example, generates the statistics for Memory consumption while doing the normal functional Mobile Application testing on real mobile devices.It also generates other vital data such as CPU consumption, battery consumption & data consumption for testers and developers who reiterate several test cycles across multiple physical devices.

Mobile App Testing , Mobile Application TestingAndroid App TestingiOS App TestingAutomation  TestingOnline Android EmulatorApp TestingMobile Responsive Test

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It’s critical for a business to adapt to the dynamic changes in the technology and market evolution, with regular updates of software applications. The success of an app isn’t solely dependent on development but on quality as well. Regardless of how intuitively a software is designed and the functionalities that are made simple, if there are technical hitches, then it will hinder usability. That is why it is mandatory for any product to undergo software testing. Quality assurance testing assures smooth operation, flawless user experience and meet overall quality aspects of the system.

Computer software examination, or software QA testing is provided by software development service providers. In the process, quality assurance is an integral part of each and every project undertaken. Effective and reliable service providers follow industry standard testing methods to help clients meet their quality assurance goals. QA experts are proficient in numerous testing technologies tools, standards and platforms, which enable them to apply integrated testing services as well as the best solutions.

Data is the lifeline in any organization and is growing bigger with each passing day. Back in 2011, experts predicted that Big Data would be the next frontier of competition, productivity and innovation. Nowadays, businesses face data challenges when it comes to volume, sources and variety. Structured business data is supplemented with unstructured data as well as semi-structured data from social media and other parties.

There are numerous advantages of Big Data mining. However, separation of the required data from junk isn’t easy. The Quality Assurance team should overcome different challenges in testing of such huge data.

Some include the following:

1. Big volume and heterogeneity. Testing a large volume of data is in itself the biggest challenge. Ten years ago, a pool of data of 10 million records was considered gigantic. Nowadays, businesses should store Exabyte or Petabyte data extracted from different offline and online sources, to perform their daily business. Testers have to audit such voluminous data to ascertain that they fit business purposes.

2. Understanding data. For an effective testing strategy, testers need to monitor and validate the 4Vs continuously. These are volume, variety, velocity and value. Understanding data and its impact on business is the real challenged faced by any big data tester. It isn’t easy measuring the testing efforts and strategy without the right knowledge of the available data’s nature.

3. Dealing with emotions and sentiments. In a big data system, unstructured data that’s drawn from sources like text documents, tweets and social media posts supplement data feed. The biggest challenge that testers face while dealing with unstructured data is the sentiment that’s attached to it. Testers should capture their sentiments and transform them to insights for further business analysis and decision making.

4. Lack of coordination and technical expertise. Technology is growing, and everyone struggles to understand the big data processing algorithm. Testers of huge data should understand the components of the ecosystem thoroughly. Nowadays, testers should understand that they should think beyond the regular parameters of manual and automated testing.

The following figure provides high level of overviews of phases in testing data applications. The tests include.

1. Data staging validation. The first step to big data testing also referred as pre-Hadoop stage involves a validation process. Data from different sources, such as weblogs, RDBMS, social media and others must be validated to ensure that correct data is pulled into the system. Comparing source data with data pushed into Hadoop ensures that they match. Tools such as Datameer and Talend could be used for data staging validation.

2. Validation of MapReduce. In this step, the tester verifies business logic validation on each node and validate them after running against numerous nodes, making sure that MapReduce process works correctly. Data segregation and aggregation rules are implemented on the data.

3. Output the validation phase. The third or final stage of Big Data testing is output validation process. The output data files are acquired and ready to be moved to enterprise data warehouse or any other system that’s based on the requirement.

4. Architecture Testing. Hadoop processes very big data volumes and highly resource intensive. Thus, architectural testing is paramount to ensure success of any big data project. Improper or poorly designed system could lead to degradation of performance and the system could fail to meet the requirement.

5. Performance testing. Performance testing for big data app involves testing of big data volumes for both structured and unstructured data. Moreover, it requires a certain testing approach to test such massive data.

Big Data, all in all has a lot of prominence in businesses these days. If the right test strategies are embraced and the best practices are followed, defects could be determined in the early stages of the overall testing expenses could be reduced while achieving quality at speed.

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Did you know?
There are 300+ Million Android devices across the globe
850,000 daily Android activations
Google play has over 450,000 Android Apps available

Take a look few key App Highlights to discuss further

Google’s Android ecosystem is continuing to expand rapidly. It is evident that new mobile OEMs are emerging in every corner of the world adds in different screen sizes, ROM/firmware, chipsets, etc. For Android developers/testers, it becomes relatively difficult to cope up with the fragmentation.

Luckily, Android developers/Testers have unlimited access to some advanced cloud-based mobile testing solution, like Testdroid Cloud, for the Large-Scale Automation of real devices for quality assurance.

Also, the emergence of different Android testing frameworks has substantially relieved Android developers’/Tester lives.

In this blog, we are going to discuss five most used Android testing frameworks and break down the basics and code examples of each.


robotium logo 378w" sizes="(max-width: 378px) 100vw, 378px" />Definitely, Robotium was once the most widely used Android testing framework in the early days of the Android world. It is similar to Selenium in Android and makes testing API simpler.

Robotium is an open source library extending JUnit with abundant useful testing methods for Android UI testing. It offers powerful and robust automatic black-box test cases for Android apps (native and hybrid) and web testing. With Robotium we can write function, system and acceptance test scenarios, and test applications where the source code is available.


// Public void for the operation
public void testRecorded() throws Exception {
// Wait for the text ‘Hello!’ to be shown for newbie
if (solo.waitForText(“Hello!”)) {
// R class ID identifier for ‘Sign in’ – and click it
// R class ID identifier for entering username
solo.enterText((EditText) solo.findViewById(“”),”username”);
// R class ID identifier for entering password
solo.enterText((EditText) solo.findViewById(“”),”password”);
// R class ID identifier for clicking log in
// Wait until log in is done
// Activate the text field to compose a tweet
// Type the tweet
solo.enterText((EditText) solo.findViewById(“”), “Testdroid”);
// Tweeting!

Mobile Resting in Real Devices

For convenience, Testdroid Recorder is used. It is an amazing recording tool built with Robotium for test script creation. By performing actual actions on the real device, the tool records every step or action taken and converts it to Javascript for further modification.

In addition to that, it is also entitled to download and utilize the extension Library – ExtSolo.

It includes useful methods that have not been merged into Robotium, for instance:

  • Automatic scaling of clicks for any resolution
  • Multi-path drags
  • Automatic test failure screenshots
  • Mock locations
  • Change device language
  • WiFi control


UIautomator logoAlthough Robotium is a good yet basic framework, UIAutomator offers Android apps and games testing. Google’s test framework allows user interface (UI) testing of native Android apps on one or more devices. Another advantage of UIAutomator is that it runs JUnit test cases with special privileges. This means that the test cases can span across different processes. It also provides five different classes to use, including

UiCollection | UiDevice | UiObject | Uiscrollable | UiSelector

But, it only works on Android devices with API level 16 or higher. Another downside of UIAutomator is that the tool doesn’t support web view, with no way for direct access to Android objects.


// Public void for the operation
public void testSignInAndTweet() throws Exception {
// Starting application:
getUiDevice().wakeUp(); // Press Home button to ensure we’re on homescreen
getUiDevice().pressHome(); // Select ‘Apps’ and click button
new UiObject(new UiSelector().description(“Apps”)).click(); // Select ‘Twitter’ and click
new UiObject(new UiSelector().text(“Twitter”)).click(); // Locate and select ‘Sign in’
UiSelector signIn = new UiSelector().text(“Sign In”); // If button is available, click
UiObject signInButton = new UiObject(signIn);
if (signInButton.exists()) {; // Set the username
new UiObject(new
new UiObject(new
new UiObject(new UiSelector().className(“android.widget.Button”).
text(“Sign In”).instance(0)).click(); // Wait Sign in progress window
getUiDevice().waitForWindowUpdate(null, 2000); // Wait for main window
getUiDevice().waitForWindowUpdate(null, 30000);
new UiObject(new UiSelector().description(“New tweet”)).click(); // Typing text for a tweet
new UiObject(new UiSelector().className(“android.widget.LinearLayout”).instance(8)).
setText(“Awesome #Testdroid!”); // Tweeting!
new UiObject(new UiSelector().text(“Tweet”)).click();


espresso logo 590w" sizes="(max-width: 590px) 100vw, 590px" />Espresso is the latest Android test automation framework that got open-sourced by Google. It is now available for developers and testers to beat out the UIs. Espresso has an API which is small, predictable, easy to learn and built on top of the Android instrumentation framework. Also, Android UI tests can be quickly written with it. It supports API level from 8 (Froyo), 10 (Gingerbread), and 15 (Ice Cream Sandwich) and afterwards.

It’s quite reliable, synchronizing with the UI thread is fast, because, there is no need for any sleeps (test run on same millisecond when an app becomes idle).
But it does not support web views.


public void testEspresso() {
// Check if view with the text ‘Hello.’ is shown
// R class ID identifier for ‘Sign in’ – and click it
.getIdentifier(“”, null, null))).perform(click());
// R class ID identifier for entering username
.getIdentifier(“”, null, null))).perform((typeText(“username”)));
// R class ID identifier for entering password
.getIdentifier(“”, null, null))).perform((typeText(“password”)));
// R class ID identifier for clicking log in
.getIdentifier(“”, null, null))).perform(click());
// Activate the text field to compose a tweet
.getIdentifier(“”, null, null))).perform(click());
// Type the tweet
.getIdentifier(“”, null, null))).perform((typeText(”#Testdroid”)));
// Tweeting!
.getIdentifier(“”, null, null))).perform(click());


Calabash logo 636w" sizes="(max-width: 636px) 100vw, 636px" />Calabash is a cross-platform test automation framework for Android and iOS native and hybrid applications. Calabash has easy-to-understand syntax, which enables even non-technical persons to create and execute automated acceptance tests for apps on both of these mobile platforms. Calabash’s tests are first described in Cucumber and then it is converted to Robotium or Frank in run time. It supports almost 80 different natural language commands (controllers), and new controllers can be implemented to it in Ruby or Java.


Feature: Login feature
Scenario: As a valid user I can log into my app
I wait for text “Hello”
Then I press view with id “Sign in”
Then I enter text “username” into “login_username”
Then I enter text “password” into “login_password”
Then I wait for activity “HomeTabActivity”
Then I press view with id “menu_compose_tweet”
Then I enter text “Testdroid” into field with id “edit”
Then I press view with id “composer_post”


appium logo 600w" sizes="(max-width: 600px) 100vw, 600px" />Appium is a mobile test automation framework (and tool) for native, hybrid and mobile-web apps for iOS and Android. It uses JSONWireProtocol to interact with iOS and Android apps using Selenium’s WebDriver. It supports Android via UIAutomator (API level 16 or higher) and Seledroid (API level lower than 16), iOS via UI Automation, and mobile web as Selenium driver for Android and iOS. Looking for a complete

One of the biggest advantages of Appium is that you can write Appium scripts can be written in almost any programming language (e.g. Java, Objective-C, JavaScript, PHP, Ruby, Python or C#, etc), freedom to select tools, compatibility across the most important platforms (Android and iOS), freedom to install and configure devices to test. Also, familiarity with Selenium makes it easy to use Appium in mobile app testing. They use the same WebDriver and the desired capabilities are also used in the same way. Configuring an application to run on Appium has a lot of similarities to Selenium.


# wait for hello
textFields = driver.find_elements_by_tag_name(‘textField’)
assertEqual(textFields[0].get_attribute(“value”), “Hello”)
# click sign-in button
driver.find_elements_by_name(‘Sign in’)[0].click()
# find the text fields again, and enter username and password
textFields = driver.find_elements_by_tag_name(‘textField’)
# click the Login button (the first button in the view)
# sleep
# click the first button with name “Compose”
# type in the tweet message
driver.find_elements_by_tag_name(‘textField’)[0].send_keys(”#Testdroid is awesome!”)
# press the Send button
# exit


Here are top 5 android testing frameworks for daily Android builds, creation, and correction. Certainly, each of them has its own pros and cons.

Appium is good in testing both your Android and iOS versions at the same time. If it is for a loyal Android developer with only Android-version app, for instance, then using Robotium is a good idea too.
Also, Testdroid Recorder will definitely save lots of time and money and It’s free. Therefore, think about testing need – functional testing, compatibility testing, UI testing, etc. – and select the right and best Android testing framework(s).

Thanks for Reading!

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Difference Between Regression Testing Retesting 768w, 1024w, 1200w" sizes="(max-width: 1200px) 100vw, 1200px" />

Many testing aspirants have difficulty in understanding the difference between regression testing and retesting. In this blog, we are going to look into the key difference between these two types of testing. Also, we are going to learn more about the relationship between regression testing and retesting.

So, let’s try to answer the question

What is the difference between Regression Testing and Retesting?

Regression Testing is a type of software testing executed to ensure whether a code change/update/release/patch has not unfavorably disturbed current features & functions of an application.


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Re-testing is a type of testing performed to check whether test cases that were unsuccessful in the final execution are successfully passed after the defects are repaired.

In the Regression Testing, the test cases are extracted from functional testing to ensure that no new defects are included due to the software update/change & to check whether original features and functionality are working as expected. Regression testing also ensures that no new defect is introduced to the system. Once the regression test suite is created, the test cases can be automated using automation tool but the same is not applicable for Re-testing.

Jumping into the detailed comparison

Regression Testing


Regression testing is to ensure that changes have not affected unchanged part.Retesting is done to make sure that the tests cases which failed in last execution are passed after the defects are fixed.
Regression testing is not carried out for specific defect fixes.Retesting is carried out based on the defect fixes.
In Regression testing, the test cases which passed earlier can be included to check the functionality which was working earlier.In Retesting, the cases which are failed earlier can be included to check if the functionality failure in an earlier build.
Regression test cases are derived from the functional specification, the user manuals, user tutorials, and defect reports in relation to corrected problems.Test cases for Retesting cannot be prepared before start testing. In Retesting, test cases that are failed in the prior execution are only re-executed.
Automation is the key for regression testing. Manual regression testing tends to get more expensive with each new release. Automation always complements the regression test process.Test cases for re-testing cannot be automated due to uncertainty
Defect verification doesn’t fall under Regression testing.Defect verification is coming under Retesting.
Based on the resource availability the Regression testing can be carried out in parallel with Retesting.Priority of Retesting over Regression testing is higher, so it is carried out before regression testing.

In regression testing, the defect logged by tester while testing the software application is fixed by the developer. In Retesting the same defect is checked to make sure whether the defect is fixed or not using steps to reproduce mentioned in the defect.

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