Studies have indicated that after installing a new app, only a quarter of the users return to the app on the second day. The retention rate is eminently low and the majority of the users uninstall the app after the first use. You might have guessed the reason for this. If you think the reason is scanty testing then you are correct. A lot of times testers show little interest when testing is repetitive. Although regression testing is crucial to the success of the project, it is often overlooked to some extent. So let’s understand the concept of regression testing.
What is Regression Testing
In simple terms, regression testing can be defined as retesting a computer program after some changes are made to it to ensure that the changes do not adversely affect the existing code. Regression testing increases the chance of detecting bugs caused by changes to the application. It can help catch defects early and thus reduce the cost to resolve them.
Regression testing ensures the proper functioning of the software so that the best version of the product is released to the market. Although, creating and maintaining a near-infinite set of regression tests is not feasible at all. This is why enterprises are focusing on automating most of the regression tests to save time and effort.
Types of Regression Testing
There are different types of regression testing for different phases of testing. Let’s understand the types of regression testing.
Unit Testing: It is done when coding changes are made for a single unit and a tester re-runs all previously-passed unit tests. Often automated unit tests are built into the code to make unit testing efficient.
Progressive Testing: This type of testing works effectively when there are changes done in the software/application specifications as well as new test cases are designed.
Selective Testing: In this to cut down the retesting cost and effort, testers use a subset of the current test cases. A test unit must be rerun when there are changes in the program entities it covers.
Retest-All Testing: In this, we reuse all test cases even where the changes have not been made. It shouldn’t be done where there is a small change in the application as it is very time-consuming.
Complete Testing: Complete testing is effective when multiple changes have been done in the existing code. It is done to identify unexpected bugs and the final system can be made available to the user once complete testing is done.
How to Derive a Regression Testing Plan
Whenever there is a change in the app or a new version is released the developer carries out these tests as a part of the regression testing process.
First, the developer executes unit-level regression tests to validate the code that they have modified along with any new test that is created to cover any new functionality. Then the changed code is merged and integrated to create a new build of AUT. After that smoke tests are performed to assure that the build that we have created in the previous step is good before any additional testing is performed.
These tests can be executed automatically by continuous integration services such as Jenkins. Once we get the assurance that the build is perfect then we do the sanity testing to confirm that the functionality works as expected and known defects are resolved before conducting integration testing.
Integration testing is performed to verify that the units of the apps interact with each other and with backend services such as databases. The next step is to schedule regression tests depending on the size and the scope of the code either a partial or a full regression test may take place.
Defects are reported back to the development team and many require additional runs of regression testing to confirm the resolution. So based on the test reports you can analyze and figure out what test cases can be added for the next checking process as well and you create your report on that.
Regression Testing Challenges
Automation is always a smart move but there will be some challenges that would need your attention. Let’s have a look at the challenges that you might face in automation testing.
Cost is High
In terms of business expenses, the company will have to invest a lot of time and money in repetitive testing. Also, there’s no specific return on investment that is attached to regression testing. It is a complicated process and to explain the importance of regression testing in terms of business benefits to the management is really difficult. But this has to be done to draw the budget for the testing even though it is expensive from a management point of view.
Unstructured Information
If new testers are recruited during the ongoing software testing project, either to speed up the process or to release some of the tasks. The existing testers in the organization might not have time to give complete details about the functionalities and features of the app, existing bugs, delivery time, etc. The new testers might have to initiate testing with inadequate data about the ongoing testing project. Challenges like these need an appropriate test strategy for efficient collaboration.
Time Restrictions
The focus of enterprises is on developing quality apps and delivering them faster. This is why regression testing is always time-bound. Testers always get a deadline to complete the process of regression testing. To keep pace with time, The testers might have to take chances to give more importance to the critical regression tests and skip a few tests. It is a serious challenge as it is critical to decide which tests can be skipped.
Maintenance and Optimization
A major challenge is to maintain and optimize the existing regression test suites. The existing regression test suites might need modification like adding, removing or editing the existing test cases, whenever there are new changes. All this need to be done before the deadline fixed for the regression testing. Therefore, optimization and maintenance is another challenge that needs attention.
Best Practices to Perform Regression Testing
Now that we are aware of the challenges in regression testing. Let’s have a look at the key changes we can do to enhance it.
Focus on the Frequently Used Paths
Frequently used paths also make the most frequent use cases for your app. They must include the most popular features and the basic functionality of your app. You should be aware of the core group of users and their usual interaction with the app features. The regression test cases must ensure that this core functionality is working as expected.
Update the Regression Pack Regularly
A regression pack is a collection of test cases that are performed when a new app version is released or if there are any new updates. The tests in a regression pack are created keeping in mind the app’s older version requirement specifications. Ad-hoc tests should be included in the regression pack to keep it up to date. You wouldn’t want to waste your time on tests to validate an old feature that is not included in the latest version of the app.
Create an Entry/Exit Criteria
The entry/exit criteria that we usually follow in the software development lifecycle can be implemented in regression testing as well.
As entry criteria, a fixed set of conditions need to be met like reviewing bugs and performing regression testing to fix those bugs. Exit criteria can be applied with a fixed set of conditions like making sure that all the tests are executed and no bugs remain unfixed.
Automate Regression Tests
Automating regression tests makes the process much more efficient and saves time and effort. Repetitive testing can make testers lethargic and testers might lose motivation. It also affects the quality of their work as the testing is repetitive. Automated regression testing will free up resources to work on the more complicated tests. When we use automation, the test cases along with the software can also be reused which increases the return on investment.
In a Nutshell
Change is hardest at the beginning, messiest in the middle and best at the end. This quote by Robin Sharma suits the importance of regression testing in delivering a smooth functioning app. As mentioned earlier in this blog, different types of regression testing can be performed at all stages of the testing life cycle. And there are ways to overcome the challenges in regression testing too.
One option is to use a cloud-based app testing platform which will enhance the effectiveness of regression testing by many folds. There will be hundreds of devices to perform testing in parallel and features which complement regression testing automation.
These days software firms are putting in a lot of effort to attain quality at speed. Whether it’s continuous testing, agile or bringing AI into automation, it is required to refine the software development process to keep up with the rapid technological changes. The best way to do that is to adopt practices like parallel testing which will save time and effort. So let’s get into the details of parallel testing and understand the benefits and challenges faced to implement it into the software development life cycle.
What is Parallel testing?
Parallel testing is defined as a type of software testing where multiple apps or features are tested simultaneously which reduces time consumption.
Mostly it is done when a new version is released for an app. There is a need to check the compatibility of the latest version of different device, browsers and OS combination.
For example, if there is a new version of the OS being launched, then there is a need for testing the app to check if all the features are working fine with the new OS version.
So parallel testing can be used when the app is to be tested on the different version of the operating system or when there is a new version of the app to be launched.
To perform parallel testing you can simply create slave projects for the different functionalities of the app and a master project that will run these projects.
Why and When to Perform Parallel Testing
Parallel testing is done to make sure if the new version of the app works fine or to check the consistency between the old and the new version. It can also be done to check the integrity of the new app and the data format between the versions. When a company is moving from the old system to new system and synchronization is performed, it becomes necessary to check the legacy data is imported from one system to another and all the outcomes are defined more accurately especially in the financial domain.
Benefits of Parallel testing
Parallel testing has become a need for the QA teams as the benefits cannot be neglected. Let’s have a look at some of the benefits of performing parallel testing.
Better Development Flow: Better reporting and quick feedback with parallel testing enable testers to share the results with the development team. This practice also boosts the Continuous Integration efforts which lead to the timely delivery of the product. Parallel testing also helps build better communication between the QA team and the developers as the testing and reporting are done in a timely manner.
Less Effort: Needless to say manual testing is very important but doing regression testing again and again on different devices combinations will be time-consuming. Performing parallel testing will reduce the amount of work that you have to put in as you will have to work on one script only. That script will be replicated on multiple devices.
Time-Saving: Parallel testing saves your time by a lot and that time can be invested in exploratory testing. Even if you are testing your app on two devices, your testing speed increases by two times. Human error can give you incorrect data so it’s better to use parallel testing for such repetitive testing which can also be boring.
Better Test Coverage: The test coverage increases when you test your app on various device browser-OS combinations. The more devices you test your app on the better. This will ensure that the end user gets the best experience irrespective of the device used. In this way, parallel testing ensures better user experience which means better ROI.
Less script: You can just write the script once and rerun the test on multiple devices. The older and newer version of your app can be installed on different devices to check compatibility and consistency. The goal is to make sure that the newer version of the app works fine on the latest and the legacy devices similar to the older version with some updates.
Challenges of Parallel testing
Parallel testing has its own sets of challenges and It is always better to get familiar with the issues before making a decision. Although there are solutions to these challenges which are also mentioned below.
Infrastructure Limitations: The cost to set up the test environment can take a toll on the company’s finance as the infrastructure and maintenance will cost a lot. Mobile and networking devices will add to the cost. Also, the company will have to hire highly skilled professionals just to maintain the setup. Instead of this companies can opt for cloud-based services like pCloudy where they will get all the desired devices to test on which can be accessed from anywhere anytime.
Data Dependencies: It might be difficult to make a strategy for parallel testing if the test cases are dependent on some specific data. So if we take a case of sign up page. There can be test scripts running for a user login but if not done in a sequential manner then any other script might run first which would delete the user credentials form the database. Another script might also run which will require a user to enter the data. In this case, it will be difficult to integrate the scripts into parallel testing due to data dependencies. This is why it is required to write the test scripts which are truly data independent. Therefore the test scripts should have the configured data which is required for the test run and then the scripts can be modified to run in parallel.
Conclusion
To sum up, parallel testing reduces the effort and time spent on testing the app by multiples. It also increases your test coverage and helps provide a better user experience. The best way to do parallel testing is by using the cloud platform as you will not have to invest in the infrastructure and you will be able to access the devices from anywhere anytime. So if your testing team is distributed across the globe, this will be your best option and all that extra money saved in the maintenance can be put to good use for some other feature development process.
Mobile Responsive Test across range of Mobile Devices and platforms is extremely important for superior User Experience. However, Mobile Responsive Test and debugging can get knotty, especially when there are issues like obfuscated HTML/CSS/javascript code, improperly implemented HTTPS, browser inconsistencies, page load performance and so on. So how do you overcome these issues? Using a Web Developer Tools or debugging extensions make debugging your web application easier. Here we’ll talk about the most popular one – Google Chrome Developer Tools.
The Google Chrome Developer Tools is a consolidated environment built into Google Chrome Browser. It is used for web authoring, debugging, monitoring, optimizing, and understanding web applications or websites. (Sourced from Google Chrome DevTools)
A responsive testing simulator provides a virtual environment where you can test the functionalities just like in a real device. You can also test websites on mobile devices online and test websites on different screen sizes. It is easy to perform responsive design testing across devices on a simulator.
Inspect and edit the DOM and CSS of your website in real-time
Run code snippets from any page
Debug Obfuscated code
Set advanced breakpoints and debug JavaScript using graphical debugger
Troubleshoot Security issues
Analyze run-time and page performance to improve the speed of your app
Trace reflows and repaints as your app loads
The Chrome DevTools provides almost all the gears required to inspect, debug and monitor the performance of a Web App/mobile web. It also provides additional capabilities to simulate Mobile Devices to test and build mobile-first, responsive web sites. You can even debug web content on a real Android Device from a development machine. But, is it enough to perform Mobile responsive test on one or two devices?
Remote debugging using Chrome DevTools in integration with pCloudy’s Mobile Device Lab
Device fragmentation is a very real problem when testing Web apps on real devices, particularly for UI and functional tests. The number of devices with unique specifications and proprietary build variations has increased. At an advanced level, to perform Mobile Responsive Testing and to check performance of the Web App on real devices, you will need to experiment your site on various platforms, across a number of device form factors. pCloudy’s Mobile Device Lab offers complete integration with Chrome DevTools to test your apps on real devices. This integration allows you to test Web Apps on a myriad of android devices with different sizes and configurations.
Here’s how most App developers test their Web Apps
Inspect and live edit your site’s design and content
Test and edit your site in live mode by inspecting all the HTML and CSS in your page. In the Elements Panel, you can live-edit a DOM node by simply double-clicking a selected element and making changes.
You can even live-edit style property names and values in the Styles pane. Examine and edit box model parameters.
It is also possible to edit the current element’s box model parameters by making changes to top, bottom, left, right values for the current element’s padding, border, and margin properties using the Computed pane.
Remote Debugging on real devices to fix errors in the code
Debugging Obfuscated Code: Make your code readable and easy to debug even after you’ve combined, minified or compiled it. You can easily change the formatting of your minimized code by clicking on { }.
Test and optimize the performance of the Web App
The Network Panel allows you to see how your page renders, and time taken to render from start to end. To do this click into the “Network” panel, click on the camera icon and refresh the page on the device.
The Timeline panel helps you to record and analyze all the activities in your application as it runs. It’s the best place to start investigating perceived performance issues in your application.
To make a recording of a page load, open the Timeline panel, open the page that you want to record, and then reload the page. The Timeline panel automatically records the page reload. You can also record page interactions on the page and view the performance details through the recorded timeline.
Here are some more details you can view using the Record Timeline
Record the Timeline to analyze every event that occurred after a page load or a user interaction
View FPS, CPU, and network requests in the Overview pane
Click on an event within the Flame Chart to view details about it
Zoom in on a section of a recording to make analysis easier
There are some things to be kept in mind while performing responsive testing:
Device selection
It is better to ask your business analyst or your manager which devices we need to perform the testing. Creating a device matrix is a tedious job due to device fragmentation with frequent browser and OS updates. Even if you spend a lot of time on making a strategy for the combination of devices, that may not get approved by the product manager or scrum master.
Automation testing and Manual testing
It’s better to use both automated and manual approach to perform testing. Based on the type of testing you can share the effort like 70% automated and 30% manual. It is obvious that sometimes automated testing will miss something that a human eye can see. A tool clicking on a link or zooming in and out is different from doing it manually.
Emulators, simulators and real devices
If you wish to test your app on many verities of devices then you can also opt for emulators and simulators. It won’t be possible for you to set up a device lab as it will cost a lot. So you can use a real device that is popular in the market and emulators for the devices that are not that popular.
Prioritize
Mobile app testing including mobile responsive testing needs to be perfectly prioritized as testing is a time-consuming process. Responsive testing priority should be discussed with the BA and the product manager well in advance and take some suggestions from them. The issue is that there are a plethora of devices and while prioritizing, the most popular devices will be used first for testing.
Conclusion
“Using the right tools for the right job” is an old aphorism that applies to all domains including Software Development. As we’ve seen, Chrome DevTools has several features that help you develop better, debug faster, and measure efficiently the performance of your website or application. An ideal choice for you for Mobile Responsive Testing.
The features discussed in this blog are some of the most common ones used by developers, designers, and testers to write, debug, monitor and optimize Websites and Web Apps. Using these features in integration with Mobile Device Lab like pCloudy can transform the entire process of creating, testing and launching Websites and Web Apps.
You can fix the issues in your Android phone by connecting it with your computer and writing some easy commands. For this, you will need some command line tools which you can download from the Android developer’s site. If you are using Windows then you will need to visit the manufacturer’s page for your device and download the ADB and fastboot drivers for Windows. But first, let’s understand what are Android shell commands.
Android Shell Commands
ADB is Android Debug Bridge which is a command line utility included with Google’s Android SDK. It provides a terminal interface to control your Android device connected to a computer using a USB. ADB can be used to run shell commands, transfer files, install/uninstall apps, reboot and more. You can also backup and restore your android devices using these commands.
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pCloudy also allows you to execute ADB Shell Commands on the connected device to perform mobile testing.
Select your desired device from the list and connect.
While trying to execute ADB Shell command, you just need to follow few simple steps as given below:
1. Select a device from the displayed list
2. Confirm connection of your selected device
3. The connected device is ready testing
4. Enter ADB shell command to the given text box
5. Execute given ADB shell command
6. Android ADB shell command execution result
Useful Android terminal commands:
1. ADB reboot-bootloader and reboot recovery commands:
This command will let you can reboot your device in the bootloader. If due to some malware your device is stuck or if your device is not rebooting then you can connect your device to the computer and run this command to reboot. To run the command just type adb reboot-bootloader in the command line and to boot the device in recovery just type adb reboot recovery.
2. Fastboot device command:
Fastboot is a diagnostic and engineering protocol that you can boot your Android device into. ADB does not work in the bootloader. If you have to boot into Android and the debugging tools are not active to communicate then you can use the fastboot command. Type fastboot devices in the prompt and you get the serial number.
3. Fastboot unlock command
Fastboot flashing unlock command unlocks your bootloader. This command is not supported in many phones that support fastboot but you can check if your phone supports it. Just type fastboot flashing unlock in the command prompt and hit enter.
4. ADB sideload command:
You can download the update zip file in your phone instead of waiting for the update to be pushed into the phone. To do that just download the update to your computer and connect your device to the computer. Now reboot into recovery on your phone and using the volume buttons choose to apply update from ADB. then open command line and type ADB sideload Full-Path-to-the-file.zip and hit enter.
A lot of users create android shell commands root in a device in spite of security. The adb reboot-bootloader command allows you to boot directly to your phone’s bootloader. Once you’re in the bootloader, ADB shell commands won’t work anymore. That’s where Android ADB fastboot command comes into the picture. Fastboot allows you to send commands to your phone while in the boot loader.
The mobile devices and applications have witnessed a constant progress in the year 2018 making the mobile app industry one of the largest. The burgeoning number of mobile apps can be seen in 3rd quarter statistics of the year 2018 with the numbers rising to 2.1 million for android based and 2 million for iOS based mobile apps. The mobile apps industry is estimated to generate approximately USD 189 Billion by 2020 according to Statista Research. Considering how greatly the mobile app market has grown in the past year, the mobile application testing trends in 2019 seems to bring out even the better version of the former .
With the innovative technologies introduced every year, the users and developers of mobile app ought to get the updated and enhanced versions of mobile apps which can be achieved through steady Mobile App test automation and deployment. Few trends that can be seen in 2019 are as follows:
1. Machine learning and AI in testing:
Machine learning and Artificial Intelligence in Testing has already been the talk of the town in 2018. It is going to bring revolution in the mobile testing world by bringing changes in the processes and workflows of the testing cycle. It is going to be used for test suite optimization to identify the inessential and unique tests. It is also going to be a great contributor in the predictive analysis of the test cases. Machine learning would also be responsible to perform log analytics meaning to identify the test cases that need to be executed automatically.
AI has already made its stand in mobile apps space by manifesting itself in the form of bots and virtual assistants. Artificial Intelligence in testing platform would certainly recognize any changes faster than a human along with the constant updates in the algorithms. Most importantly, it is going to be used to identify risks areas of the mobile application in order to prioritize regression testing. The growing demand for quality at speed is forcing enterprise mobility to test faster than ever. Automation testing alone is just not enough. AI powered bot tests to run deep exploratory tests or crash tests in lesser time with enhanced quality reports can solve the purpose.
pCloudy has launched Certifaya which is the AI-powered app testing bot which automatically tests the mobile apps over multiple devices giving the real-time insights about the app behavior and performance to its users. It also allows screenshots, session videos as well as provides detailed logs and quick fix rectification recommendations. It has analytics-driven testing engine uses machine learning algorithms to navigate through the app and detect issues. It also allows to generate reports on the critical issues like crashes, leaks , slow response time etc.
2. Popularity of IOT:
Just as AI in testing is gaining popularity, IOT is also gaining momentum alongside with more and more devices getting connected to the internet. With the introduction of IOT, IOT testing will make more sense. IOT testing would be applied on the IOT based devices to test the usability, compatibility of the IOT system; for the simulation of the sensors, for data validation integrity; for user authentication and data privacy, and finally test the performance of the connect IOT devices.
3. Impact of 5G: 5G will be the 5th generation of the mobile network. Move from 4G to 5G is a great shift in the network ecosystem. It will be responsible for greatest bandwidth for uploads and downloads.
eMBB (Enhanced mobile broadband) The introduction of 5G networks in the mobile devices is going to present the advantages of high speed, security, and reliability than ever. According to statista, there is going to be around 20 to 100 million 5G connections by 2021.Test automation, built in systems and monitoring would be required to test the 5G powered mobile apps by analyzing the performance of the network. Along with 5G, 3GPP identifies three main aspects of 5G technology that co-exist in the same network infrastructure, namely:
-eMBB: provides greater bandwidth for uploads and download speeds , reduced network latency and will enable rich media apps like mobile AR/VR and 360 degree video streaming.
-URLCC(Ultra Reliable Low Latency communications): URLCC provides benefits like , real time virtual reality gaming, robot-enabled remote surgery, autonomous driving, factory lien automation etc. The technologies that enable URLCC are in the process of being standardized and will enable high end latency sensitive tasks.
Massive Machine Type Communication: It is a narrowband access type to sense, meter and monitor the use cases.
Undoubtedly 5G is a paradigm shift towards user and application technology framework and testing the overall communication behavior of the devices would be the key focus in the testing space related to 5G.
4. Performance testing to performance engineering:
There are many factors like usability, performance, security, hardware, software, configuration, etc. that contribute towards the performance of a mobile app. Now , the performance testing will not be about running the test scripts, rather it will be focused on prioritizing the factors and analyzing the highest value amongst them in order to deliver the high quality product.
5. Manual and Automation merger :
This practice has been followed in the previous times and it will be carried forward even in 2019 due to the combined benefits of both the types of testing. Although manual testing dominates the market specifically in the areas of usability and design, but it will still go hand in hand with the efficiency of mobile automation. We have already initiated that with our breakthrough feature Follow Me where we have tried to automate the use cases of manual app testing on multiple devices.
6. Shorter Delivery Cycle:
Up gradations in the technologies and the devices makes the software developers think a bit more about the development process i.e to shorten the delivery cycle. The choice of right mobile app testing tools and test management is going to play a major role in these decisions.
7. Cloud Apps:
Cloud apps have always been a part of the successful quality assurance decisions. Focus will be more on building the cloud apps that require minimum operational costs and high productivity. In 2019, it is estimated that the number of cloud based apps will increase from $30 Billion in 2014 to $66 Billion in 2019 and so would be the need for the cloud based testing for the cloud mobile apps.
The above stated trends would help testing team to acquire right skills and tools for investing time and effort to the right focus area. Smartphones being the future also allows the mobile apps to be a part of the process. Hence, making it noteworthy for the upcoming generations. To stay ahead of the challenging environment, one must be aware of the above trends in Mobile App Testing in 2019.
There are millions of mobile apps available in the market today. The statistics shows that since 2016, on an average around 6000 apps on Google play store and 1400 on the Apple store have been released every day. In order to be hassle free and to be on top of the competitors, an app needs to be stable and be properly tested.
Testing on mobile devices could be very challenging as it has to constantly be in touch with the new updates, new features and a myriad of DevOps tools that get introduced every time to ensure better performance and reliability of the mobile app.
Hence, there are many factors that have to be considered while framing the testing strategy in order to avoid all kinds of uncertainties in the app performance, just needs a right planning.
Below are five strategies every mobile testing team should keep in mind in order to reap the most benefits from their QA efforts.
Emulators are the best option only at the early stage of testing, and they have a vital place in the overall QA process. But testing on emulators is not successful for all types of testing. All the tests should not run on emulators as those will not be reliable for an app to run immaculately in the real world scenario. Testing on the real devices is certainly more accurate as it can test many device functionalities like camera operations, battery life, GPS, Bluetooth, networks and more. Each device is designed differently and emulators do not solve issues specific to a particular type of device.
Procuring multiple devices and testing the app on each Operating System can be quite a daunting task and it may seem next to impossible to test the app on every OS combination. The best way would be to test apps on a cloud based platform with a hub of real devices. This way your testing results would be more precise and the procurement cost could be controlled. pCloudy has a wide variety of mobile devices available on cloud that can be considered as the preferred option.
2. Testing Automation
Automation testing is the key and the most vital when it comes to mobile apps. It can ease the execution of tests to run simultaneously across real devices which speeds up the entire testing process allowing the apps to float in the market quite earlier and faster. In the cases where the tests require a lot of set up and aren’t the routine tests, manual testing should be preferred over automation. Mobile Automation testing necessitates the use of right automation tools. The choicest one is Appium which is open source and supports both iOS and Android and also allows to write the tests that can run on both the platforms.
3. Functionality testing
The core functionality is the main draw for any app and it has to be rock solid. People seek out apps to perform specific functions. Incomplete or inadequate functionality will result in abandonment, so make sure that the main functions are fully implemented and tested before you move on. User experience really matters and is also a key factor in an app’s success. For example, if the elements of the app are placed incorrectly on the mobile screen, the user will not use the app and uninstall it straightaway. So, the mobile app needs to be tested on each functionality in order to give the best results.
4. Performance and Load Testing
Usual tests are performed at earlier stages to identify the bugs even before they are pushed for production but the performance and load tests are performed later in the SDLC process to assess the maximum operating capacity and behavior of a mobile app in real life load scenarios. Tools like JMeter and Android’s Monkey tool are often used for performance and load testing. Also, the app performance on real devices is done in order to check the issues like network interruptions, memory leaks. Whatever the choice of tool may be, the goal is to ensure the smooth functioning of the app before and after the final release.
The Internet speed can also have a major impact on the experience of using an app. A user connected to a slow cellular network might have a hard time with apps that have rich media content. Make sure your app testing includes slow connections — and fast ones — to make sure the experience is OK at any speed.
5. Choice of Mobile app testing tools
It is very important to choose the right tool for mobile app testing. There are many favored mobile app testing tools to do the right testing.
Out of the meagre tools available in the market, Appium tops the list of the most preferred open source mobile testing tool in the market. Other than this, the tools like Robotium and Espresso which are used widely to test the Android apps by empowering the testers to write UI tests for Android Apps, easily. Google’s EarlGrey performs the similar function as Robotium for iOS framework.
Conclusion
To conclude, we must acknowledge that the decisions related to successful mobile app testing is the key role of the testing team. Testing landscapes keep changing and the testing strategies have to be aligned with the vulnerabilities of the market. It can be deduced from the above discussion that both emulators and the real devices are needed as per the testing situation. Performance and load testing are the saviors and must be performed sincerely in the production to understand the reaction of the mobile apps at different load conditions. There should be a right combination of the testing tools as per the type of operating system where the app has to be installed. To make the Mobile app testing a success, the right decision-matrix regarding the above mentioned points would prove to be the strongest pillar of the QA team of an organization. To know more about the mobile app testing success, visit www.pcloudy.com.
So, the most awaited 2 days long Software testing conference STARWEST 2018 came to an end on 4th October, with the most insightful and pragmatic gathering and discussions to tackle the fast growing ‘software testing’ head-on. When the venue selected is supposed to be the “Happiest place on Earth – Disneyland”, how could you not be rejuvenated to take software testing to a next level.
With the top minds in software testing coming together to share the latest trends, tips on stage and through conference networking opportunities, STARWEST this year too has succeeded in bringing forth excellent insights about future of testing in rapidly changing times. More than 40 top companies participated in this one-of its kind Expo where we have witnessed some of the monumental key developments that would shape testing landscape in the coming years.
Over 1000 software testers gathered and more than 70 empanelled speakers graced the expo for 2 days. Attendees heard from experts like: John Bach from eBay, Adam Auerbach talking about how continuous testing in DevOps will help business achieve business success, Rob Somourin from Amibug.com, Max Saperstone from Coveros to name a few.
In between sessions, the pCloudy booth was flooded with people. Our team of three did their best to answer questions and get feedback from those who are already using pCloudy as well as folks who were new to pCloudy.
Here are the biggest lessons that we learnt at the STARWEST event this year:
1) Artificial Intelligence and Machine Learning are coming to help testing; not replace it:
Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an area that still requires significant manual effort.
Last year we came up with something which was quite new to the market our AI-based test bot for Mobile App – Certifaya. This year we see this trend catching up. There are quite a number of new tools focusing on NLP driven Automated Test case generation to AI driven self-healing automated tests. Good to see competition in this space! The race has just begun.
2) Testing can’t survive without Data analytics: Another major learning at StarWest event this year has been the growing importance of Data Analytics in Software Testing. We are in the age of Analytics where the test data captured are translated into actionable insights for future improvement. These solutions proactively identify problem areas in the testing process and indicate the way forward to achieve a high-quality software product. Predictive analytics uses mathematical algorithms and machine learning technologies to forecast outcomes of software testing procedures. This technique uses current and past data to generate insights and locate potential points of failure in software testing outcomes. This enables the development and testing leaders to proactively address issues early in the lifecycle, and hence faster and easier. The combination of test automation and advanced analytics will enable software development and testing managers to spend more time on strategic activities that drive greater business value over a longer term.
3) Flight plan for Agile and DevOps success: A new Forrester research project surveyed over 600 organizations to determine what matters the most for DevOps and Agile success. The research discovered high-level findings like:
a) Firms that are more mature in Agile+DevOps do five key things differently:
i) they allocate proper testing budgets and focus on upgrading their testing skills;
ii) they implement continuous testing to meet the demands of release frequency and support continuous delivery;
iii) they include testers as part of their integrated delivery teams;
iv) they automate end-to-end functional testing; and
v) they shift-left testing to earlier in the development life cycle. For firms that follow these five best practices, testing is a way to gain speed and efficiency, rather than a bottleneck to delivering faster.
b) Experts focus primarily on contextual metrics (e.g., requirements coverage) while others focus on “counting” metrics (e.g., number of tests).
c) Experts are more likely to measure the user experience across an end-to-end transaction while others rely on application-specific or team-specific metrics.
4) Exploratory testing rediscovered: The testing community is caught between a rock and a hard place when it comes to exploratory testing. Although exploratory testing has been around for ages, it often leads to more confusion than clarity. Exploratory testing is the process of learning the product, designing test cases, executing test cases and interpreting the test results at the same time. It is a method that requires the tester to think critically through the entire process, making decisions based off factors such as the test scope, charter, and goals. This means that exploratory testing, by definition, cannot be automated.
That being said, there are aspects of exploratory testing that can be automated. Exploratory testing is able to go beyond the confines of automated tests. Automated tests can perform the majority of the “heavy lifting”, freeing up your testers to apply their considerable expertise and business knowledge to discovering new defects, testing usability, and exploring the program in a way that is deeper and more insightful than what an automated test can accomplish.
5) Mobile app a part of test strategy for enterprises for next 2 years: Among some interesting facts that we witnessed at StarWest this year, 60-65% of organizations mentioned that Mobile App is part of their strategy in the next 1-2 year. Many organizations are still relying on Mobile Web as their digital strategy on Mobile devices. This is expected from organizations starting their digital transformation journey but still, the number of higher than expected considering we are talking about the US market. Separate mobile and web teams still seem to be the case for most of the organizations.
This seems to be interesting because this is contrary to our above mentioned point where they stress on collaboration.
Mobile market has shown a phenomenal growth over the years and guess who is responsible for such tremendous success- undoubtedly, it is the mobile application market and evidently its progress appears to be indomitable even in coming years. As per the research, mobile applications are expected to generate around 189 Billion USD revenue figure by 2020 merely by means of app stores and in-app advertising.. As this stream of Mobile application gets strengthened, the competition to make each app unique and effective grows even stronger. The real challenge is to maintain the competitiveness by keeping up with this fast changing industry. With so many variations in the mobile devices, it becomes a challenge in the mobile app testing to succeed in ‘All-Device’ scenario.
Here are the most common challenges faced in the mobile application testing:
1. Multiple Devices: As the mobile market is growing, it’s coming up with more advanced features that before. This becomes a challenge when mobile apps are incompatible with different Operating systems. A mobile app that runs smoothly in one OS might not work well in the other operating system and in different versions of it.
2. Networks: This factor has the most impact on the performance of the mobile application which effects the experience of the app even more. The Wi-Fi speeds, signal strengths or the network drops can cause a bad taste in the mouth of the end user. Since all the network carriers are supporting different data volumes, it is important to test the bandwidth usage. A mobile app tester has to consider all these factors and ensure the app runs smoothly on all networks.Testing on real networks is a fundamental practice to check the existent challenges of testing. In order to cater to this situation, pCloudy offers such a testing environment where the user can test their apps on different network conditions on real mobile devices on cloud.
3. Choice of tools: Testing is the vital aspect of Mobile App Development life Cycle and there are myriads of tools available in the market. pCloudy offers access to tools like Espresso, Appium, Selenium, OpKey, Calabash, Jenkins and many more. Choosing the right tool as per the requirement is the most important decision. The efficacy of MAT process would completely depend upon the competency of the Test-automation tool.
Things to consider before tool evaluation:
Type of apps: Apps can be native, hybrid or web. While the trend is inclined towards hybrid apps but the tool of choice should be competent enough to support other kinds of apps.
Cloud Testing: Implementing a test automation cloud empowers teams to perform testing on any automation external testing framework .Moreover, the test results can be accessed from any location worldwide.
OS Support: Most of the apps are developed for IOS and Android but the scope can expand to Windows, Firefox OS, etc., anytime as the customer base increases. So, the automation tool should be able to support all platforms.
4. Screen Sizes: There are numerous devices-Android or IOS, available with different screen sizes. It is quite a challenge to test for each screen size. IOS mobile app developers who mostly focus on pixel perfect screen design now have to focus more on adaptive without changing all necessary screen elements. So, the businesses have no choice but to change their mobile app design as per the screen size of the devices to offer a top- notch user experience.
5. Types of Mobile Apps: Mobile apps can be based on either of these three architectures-native , hybrid or web application. All these types have different test case scenarios, and have different app behavior from installation to functionality.The decision of how the app will be tested depends on all these aspects.
6. AI Test Automation: AI testing automation has become a vital part of the testing world and is the future of automated app testing. AI Bots can create test cases automatically, generate test codes etc., just by defining a specific testing goal and by providing the initial stage inputs. People still believe in traditional test approach without encouraging and believing testing by Bots at the times when Automated AI testing bots are the Golden Key to MAT automation success.
A good mobile app testing strategy would include a right mix of testing on real devices, user testing and bot testing all at a single platform.
pCloudy provides a biggest cloud platform for automated and manual testing of mobile apps on real devices. It has its own cluster of real devices hosted on cloud to test IOS and Android Apps. Visit pCloudy to choose your plan for availing the best MAT services.
Today, the world is earnestly dependent on mobility devices and so is their dependency on the mobile applications. The number of smartphone users are expected to reach 3 billion by 2019 out of which India alone covers half a million. So, it becomes impertinent to have an extremely practical mobile application strategy to make the usage of it more effective. Unless the mobile application is acceptable and extremely compelling to the users, it becomes inconsequential to even trade in it. So, there is a huge responsibility on the shoulders of Mobile application companies to assure the accessibility, security, purpose and usability of the mobile application to make it noticeable and engaging enough in long term.
pCloudy is fully equipped cloud based platform with a strong principled approach to tackle and heed the performance of today’s robust mobile applications. Following are the 5 best practices to count on for successful mobile app testing:
1. Master Plan: A common plan is what will drive the team towards the ultimate business goal. Defining the testing approach, the effort, the timeline and the expected results would solve a lot of anticipated problems in different testing phases.
2. Device Testing: Some important points in context to devices are:
Testing on every possible device is what looks promising but is impossible. So, testers have to be smart and cover the largest market with largest sample size.
Testing on real devices is what is going to be the reality check and is going to give a better idea of the challenges and the convenience of the general usability of the app.
Test on more than one OS version to check interface compatibility and consistency.
3. An early stage testing move: Testing early ensures quality and makes the application more favorable in the market as per the new approaches in mobile application development. To minimize the defects at later stages, testing efforts should start at the early stages of mobile app development life cycle.
4. Crowd Sourced App Testing: The best platform to employ the benefits of cloud which allows global pool of experts from all over the world to be utilized for incomparable testing practices and performance saving both time and money.Not to be considered as a replacement of traditional testing but it has some obvious benefits of testing in real world conditions and without investing in full-time testers. With more participation,feedback and reporting actions, crowd testing has become a reliable and most sought practice today. With the help of pCloudy’s global crowd, testing has become an easy ballgame ensuring app testing in different environments with different network bandwidth, on different devices and on time delivery.
5. Automation:Test Automation is what a machine does much faster and with less error than humans. This approach would save a lot of time, cost and would provide great return on investment but for reaping all these benefits, this has to be properly planned as it involves good investment, training and cost of trained resources and tools.If the objectives are undefined, it can lead to wastage of time and resources.
Mobile app testing is facing challenges in terms of changes in networks, operating systems and of course devices. So, the functioning and performance of the mobile applications becomes the prime focus. Selecting the best tool and the reason of doing so is very important. A strategy with clear objectives would be an informed move and a savior in this decision making process.
In the end, all we have to keep in mind is the user is happy using the app and is able to fulfil the purpose. All of this cannot be achieved by an individual but by the effort and strength of the team of both Developers and testers. There can always be brainstorming and learning from failures but the real game can be played by having a strong unified strategy.
pCloudy is a market leader in mobile app testing providing a wide range of MAT services. It has the most powerful mobile app testing platform which gives you a chance to access to real Android and IOS devices in a single click. Connect with our expert team to build a customized MAT strategy for your mobile application.
Living in a technological era has forced entrepreneurs to adapt to current market and technology trends. Mobile is one such driving force that is propelling enterprises to another level.
E-commerce industry is so vast that it needs a proper channel or platform to reach a wider spread of audience. Android and iPhones both have turned to be largely used platforms used by people across the globe.
Consumers of ecommerce industry today use their mobile devices in numerous contexts like – making a purchase anytime, anywhere, browse and get details about a product while shopping in store. A mobile app serves as a bridge connecting all channels and touch points between a retailer and a customer which they together leverage to get a great and seamless shopping experience. Let us have a look at the trends that tend to set the future of mobile apps in e-commerce industry.
A Rising Influx of Mobile Shoppers
Just as smartphone usage and sales continue to tick upward, mobile shopping is likewise expected to rise. Mobile devices currently account for 19% of all ecommerce sales in the United States; however, the figure is projected to rise to 27% by the end of 2018, according to an Invesp report. This influx of mobile shoppers also presents new challenges to merchants, though. Though desktop driven ecommerce sales may be plateauing, but data from Comscore shows that online sales are booming as a whole. Sales from mobile devices are now leading the charge with an annual growth rate of 59% that eclipses desktop 17%.
Source: Invesp report
More Prevalent Storefront Apps
In a response to the aforementioned challenge of appealing to mobile buyers, expect to see a new wave of mobile “storefront apps” to reach buyers on-the-go. This trend goes hand in hand with the need for merchants to have omni-channel presence, as well. Given that mobile users spend 86% of their time within apps versus mobile sites, perhaps branded native smartphone shopping apps are the key to converting those once-fickle customers.
After all, if a customer is willing to go through the effort of downloading a mobile app, chances are they’re loyal and trusting enough to make ongoing purchases. “App commerce” platform Poq recently found that storefront apps outperform mobile web conversion rates by 40%, support longer browsing sessions than even desktop web browsers and are twice as likely to drive repeat visits. This all makes sense given the game-changing functionalities that storefront apps offer, which include superior content personalization opportunities, push notifications and geo location-integrated brick-and-mortar shopping recommendations.
Source: Poqcommerce.com
Poq’s compelling solution, for one, offers a centralized content management system that merchants and marketers can use as a unified data hub that uses an API to automatically sync with analytics platforms, payment gateways, customer review platforms and more.
Boom of app adoption in Indian market
Over 80% of buyers surveyed in India now prefer using apps over mobile browsers to shop on phones, compared to the global average of around 70%, according to a report published by payments technology firm Worldpay. At an average download of 10 mobile apps per day, India has been far ahead and is a thriving market beating its rival U.S and U.K. where the average downloads are 7, the report added. Indians downloaded 12.1 billion apps last year, dethroning the US’s app economy (11.3 billion).
Getting the app experience right can yield handsome rewards for e-tailers. After all, according to the Worldpay report, one in three Indians spent more than Rs4,000 ($62) on their last purchase. Tapping the right market will be the key to their success for e-tailers.
Conclusion
Nobody can truly predict the future in regard to ecommerce. However, these current trends will continue to heavily influence the space for the time being. One thing that is inevitable for the evolving e-commerce industry is that they should maintain the highest quality apps with fastest time to market. The best strategy would be to test the apps on multiple real devices with different OS versions and on different parameters on a cloud based platform that can deliver better quality apps faster. pCloudy is the ideal full lifecycle digital testing cloud based platform to test all the mobile and IOT apps.
Manual, automated and crowd testing can be done on both iOS and Android devices. These tests can be run on a public cloud, on premise or a dedicated private cloud as per the need. Both Selenium and Appium tests can be run on pCloudy. One of the biggest advantage of it is that it can be integrated with Continuous Integration systems.
Sign up on pCloudy and test your apps to believe what we say.
