Regression Testing Services

Do Your Requirements Often Change?

A change in your code or program can have an adverse effect on your existing functionality. The basic functionality should always be verified whenever you make code changes.

Regression Testing

Regression testing is a type of testing which ensures that any change in the application code does not affect the old working code and its features. In software development, any change to the code with respect to enhancements, bug fixes, or new functionality might accidentally lead to new errors or the recurrence of old defects. So, it is always important to ensure that the application is working fine even after the changes. Hence, regression testing is highly essential when there is a continuous change in the application. Any software after changes should undergo regression testing. If not, the application might fail in the live environment.

At QAonCloud, we do regression testing for each code change or functionality change. We create regression test suites based on the business requirements, priority modules, important features, etc and execute them during every test cycle and ensure that the system is working as expected. We prioritize the test cases for the regression test suite based on the functionalities that are more important, functionalities that fail frequently, complex test cases, test cases that cover the recent code changes, etc.

Our Comprehensive Regression Testing Services

Unit testing

Integration testing

System testing

Acceptance testing

Our Automation Approach In Regression

Regression testing requires the execution of a set of test cases for every test cycle, which is a time consuming and tedious process. So, QAonCloud focuses on automating the regression testing efforts that would save time and costs.

We understand your priorities, list out the basic functionality cases, and automate the regression suite using opensource tools. We run a full regression suite to ensure complete functionality coverage after any server patches, code changes, and database upgrades of your code.

Regression-Testing
QAonCloud's Regression Test Approach
  • We ensure that the addition of new code to your software does not affect the existing features by re-executing the full or partial selection of test cases.
  • Manual/Automated scripts ensure all the existing functionalities are working fine.
  • The Regression test suite is selected based on the frequently used functionalities, critical features, and also based on the business impact.
  • We may also suggest automating the previously executed test cases, thereby saving time and money.
  • Our team maintains and sends you the report for each regression cycle.
"QAOnCloud is a great addition to our team, helping us out with testing and maintaining the quality of our product. They are very flexible and easily adapted to our processes and tools. Despite the time difference, communication is smooth (through Slack or video calls). They are very rigorous during the testing process, pay attention to detail and always ask questions to our development team if something is unclear"
Daan Depaepe,
Chief Technology Officer,
Blogs and Resources
  • test automation challenges

    Mitigate risks of Test automation failures by preparing for these challenges

    "A risk is the probability of occurrence of an unexpected outcome that causes a negative impact. If a risk is not mitigated at the right time, then it can have catastrophic effects like loss of business revenue or even loss of life. From the first computer to the modern smartphone, automation has slowly become a part of every industry. It is also changing the way we look at our daily life. With the advent of robotics and the Internet of Things, we are in the midst of the technological revolution. When everything is pointing to automation as it seems to be the future of the world, but the surrounding hype has caused a cart-before-the-horse mentality where people invest heavily before making the specific reforms. Why is test automation important for businesses?In today’s digital age, applications are the primary mode of consuming most of the products and services and delivering a seamless user experience. Most of the companies have already adopted agile development and testing practices to test the new ecosystem of complex, interconnected, and cloud-driven applications. Surely, test automation can do wonders for businesses by reducing time, cost, and effort. But to get effective results, it is important to avoid challenges as they can lead to wastage of automation efforts. 8 most common test automation challenges (and how to overcome them)The good news is that these challenges can be handled with the right technology and tools. Here are the eight most common test automation challenges you should consider to mitigate the risks of test automation failures. Challenge 1: Selecting and using the appropriate toolsMany teams lack the expertise of using certain testing tools, or the tool does not offer complete test coverage, or the tool they want does not exist. Today, there are plenty of tools, ranging from commercial to open-source tools that support various technologies and types of testing. The testing product vendors have a common tendency to exaggerate the capabilities of the tool and assume that they have a “secret sauce” to all the test automation challenges. And this causes a lot of confusion and misconceptions about selecting an appropriate testing tool.Many times, we do not do sufficient research before selecting the right tool and tend to quickly buy popular commercial testing tools. It is always important to define a set of tool requirements based on the application under test and the experience of the team. When the testing tool is selected after extensive research and proper suitability assessment, the test is less likely to be failed. If the tool does not offer everything you need, consider a multi-tool solution. However, it is not possible to test everything, but you can use the tools to test the most crucial things. Lastly, if the tool is out of your budget, quickly conduct a cost vs. benefit analysis to measure the damages of earlier bugs and the time and money you could have saved by using the test automation tool. Challenge 2: Lack of expertise among team members The expertise of team members is one of the most common test automation challenges. While this concern cannot be resolved without gaining significant expertise and experience, some hacks can make the transition smoother and easier. For example, the testing frameworks can be leveraged that allow the team members to utilize their preferred programming language. A good example of a testing framework is Selenium. Selenium essentially automates the browsers while binding multiple languages. If an organization uses JavaScript, its team can use JavaScript to write test scripts. It can be initially challenging for the team to determine which test scripts need to be automated. But a proper training program on this topic will allow the team to identify the right components and decide the priority of test automation.Challenge 3: Lack of adequate test infrastructureAnother key test automation challenge is the lack of infrastructure to provide required test coverage and ensure adequate execution speed. Consider the situation where an application needs to be tested against different operating system and browser combinations. To run tests against multiple configurations in a reasonable time, it is important to run the test scripts in parallel. And to make that happen, the testing infrastructure has to be very strong to support the parallelization strategy.While an organization that gets started with test automation may not be well prepared to build a testing infrastructure of this nature internally, there are other options like cloud-based test infrastructure. Working with cloud-based infrastructure solutions allows you to access a testing environment with all the necessary configurations. This will help you to lead to a higher level of efficiency and test coverage while eliminating the additional cost that comes with building and maintaining the test environments. Challenge 4: Incorrect testing approachSo, let us consider that you already have the right tools and expertise to start test automation. But what do you automate and what is the process of automation? Unfortunately, the tools do not tell you what to automate. Will you raise a set of excellent automated tests or will they turn out to be unmanageable? Of course, you would hope for the former. The fact is that you cannot automate everything and need to be strategic. And for this purpose, you can use two approaches: automation pyramid and risk-based testing.Risk-based testing provides a higher priority to test the elements that are at high risk of failing and also carries great negative consequences if the test is failed. Here, it is important to consider the financial impact of potential errors, service level agreements, and the probability of failure. This provides a baseline to prioritize which test cases should be automated.Test automation pyramid is another recommended approach to address the test automation challenge. Here is a quick overview of the automation pyramid. As the first pyramid indicates, the ice cream cone is tempting but it can spoil the automation appetite. Following this approach will result in high frustration levels as it emphasizes automation on the user interface level and employs the tests that can break easily. Whereas, if you focus on automated unit tests, you can prevent the bugs at an early stage and eliminate them immediately as you go through the lifecycle of software development. Challenge 5: High upfront investment costAutomated regression testing is considered the most useful and crucial method in most agile situations. But the cost can be a major concern here. As a matter of fact, the initial stage of test automation is the most expensive. It is important to analyze, design, and build the test automation framework, reusable functions, or libraries, etc. In many cases, it is crucial to consider licensing costs, operating costs including hardware and software costs.Even though there are free open-source tools that can reduce the cost of licensing, the team can spend some effort on learning, maintaining, and training them. Furthermore, the hidden costs should like meeting, communication, and collaborating also be taken into consideration. Although there is a huge payoff after running regression testing cycles in the long run, to have a consensus about this investment is a major challenge. Due to budget constraints, many organizations give up the idea of test automation even though they have a higher return on investment.Challenge 6: Data dependency problemsTest data management can be a primary test automation challenge. When the test script is run, it requires the data to be in a certain state otherwise, it can create major problems in different scenarios. For example, what happens if the test script is being run in multiple test environments and configurations at the same time? Will it fail in different instances of the script that utilizes the same data? Any modification of the data in one instance of test execution can cause another instance to fail. Or what happens where the data of a script is set up through another test script execution?The most effective way to manage these data management issues is to develop self-contained and independent test scripts. All the test scripts should be developed to create and clean all the data required for successful execution. In this context, the team needs to remove the test failure possibilities due to data-related issues. Challenge 7: Test automation in silosIt is a wrong notion that testing is an individual task. On the contrary, software development and testing should be done hand-in-hand. Testing should be a part of the development cycle and continuous integration process. One of the key reasons for the test automation failure is that testing teams work in silos without any interaction with other project teams. Would it not be a disaster if there are significant changes in the user experience of the product when the test team is simultaneously testing that product? It will eventually end up in the repetition of the work and cause a lot of frustration within the test team. Test automation should be a part of the overall development process. Whether the project uses conventional a water flow model or CI/CD for product development and testing, automated testing should be considered as an integral part of development. Another test automation challenge is that automation tests are considered to be important during the last stage of product development. In this case, the critical bugs (functional, performance, non-functional, etc.) are discovered at a later point in time. It can also delay the release of the product, which can eventually hurt the business. It is always recommended to test often and test more to generate the best test automation results.Challenge 8: Setting realistic expectations of automationNo matter how great your testing processes and tools you have, it is always important to remember that testing is never complete. The automation of tests is not a panacea for bug-laden systems and should not be used in place of non-automated tests. But it is recommended to use test automation in conjunction with manual testing processes. Initially, test automation seems to be a permanent fix but it is important to set appropriate expectations for an automated testing strategy and include other forms of testing as and when required. Even though automating tests will catch more bugs during the development phase, some errors can still make it into production. It can be due to scaling issues or oversight of automated script, etc. The lesson here is that testing is a continuous process and should exist at all stages - including production. Also, it is important to ensure that your team and management agree on the desired outcomes from the test automation plan so that everyone is on the same page.Your next step: Win the test automation strategy with QAonCloudNow when you know the test automation challenges and the ways to overcome them, it is time to prepare for all the hurdles and mitigate the risks of test automation failure. Well, test automation is not a rocket science and its success depends largely on the planning and execution of the test strategy. It is the best way to avoid automation testing failures since overlooking these points can result in the loss of test automation tasks. Here, the key is to tackle all the testing challenges and bottlenecks effectively to bring the best results.  Instead of rushing through the testing process, it is crucial to identify the roadblocks, analyze the project needs, skills, and experience of the team, available time and budget, before adopting a test automation approach to reap maximum benefits. Even if you had an epic failure or mixed failures with test automation in the past, it should not prevent you from trying it again. Take a look at your earlier mistakes, and use the recommendations to deliver a winning project."

    Read More

  • Test Automation ROI

    Test Automation ROI: How Do We Calculate It?

    "Test Automation ROI : IntroductionWe are living in a technology-driven world where simple actions are interrelated with a huge web of applications and or websites. All business operations are entirely dependent on various software that need to be upgraded frequently, and bugs are fixed instantly for seamless operations. It is always necessary to adopt automated testing multiple fixed procedures to enhance all business operations because manual testing is challenging. Automated testing is an important aspect for any business to deliver a good return on investment (ROI). Practically, it is difficult to measure ROI in software testing, and measuring any test automation ROI is more challenging. Speed coupled with quality in a software development process is a continuing process, and it is impossible to ignore any of them. Every business needs to launch or update all the software products on time to offer greater customer satisfaction compared to other competitors.Manual testing is a slower process compared to automation testing, and it is necessary for faster development cycles. Automation testing helps in executing tests faster with regression testing. Automation testing requires no or minimum human interventions and can be performed in all odd hours. However, automation testing may not be the right approach for all scenarios. Manual testing is obligatory, and automation testing is optional due to the various variables involved. Introducing test automation to manual testing scripts justifies the value of test automation. Investing time and money in test automation offers numerous benefits for specific business needs. Software test automation is repetitive after each source code modification or before a new release. Manual testing increases test run time, testing time spent, and time to market. However, deploying test automation can considerably bring down the execution time and the time to market. Automated tests can be run multiple times with no additional cost after setting up. Advanced test automation tools provide innovative features such as the self-healing of scripts. They automatically detect or alter elements to detect the locators without any human intervention. The three most important parameters to consider in test automation ROI calculations are Speed, Quality, and Cost.How Do We Calculate ROI Calculating ROI on test automation is a measurement of how much QA time test automation saves. To measure tests automation to get the best data, all the test scripts need to be maintained. The most significant piece in test automation is to keep track of all the test scripts at all times and upgrade them whenever necessary. Calculating ROI for testing depends on the test scripts that are updated regularly—the number of scripts increases during the upgrading of all the test scripts with advanced features. Measuring ROI is a challenging task because the time taken to test something is unknown. To calculate ROI for any test automation, it is necessary to work with your developers to understand as best you can how much time they’re spending writing and maintaining tests. These measurements are critical to your cost calculations.Test automation helps in bridging the gaps in the QA department and saves time for manual testing. Adopting test automation involves testers who are well-versed in maximizing both software test coverage and are good at testing software in many ways. All the positive results in a testing phase are the keys to successful business operations. It is important to include the cost of training testers in test automation ROI calculations. Test automation is beneficial as it never skips any step; however, fewer things slip away, causing disruption. Test automation works at a galloping speed than a human mind. The speed of test automation helps in identifying problems before they become outages. Test automation provides visibility well as helps in anticipating a sudden demand in the spike of any software. QA teams are a critical part of every software development life cycle. However, QA specialists work on the same test cases every day, in the same ways, for weeks or months, making the testing process tedious. Test automation ROI calculations provided by QA increase the value of an organization. The best way to maximize test automation ROI is to minimize the time spent for writing and designing tests scripts.Agile software development is the newer and default trend for all software developers and QA’s. It is not possible to release any software solutions at rocket speed just to satisfy customers. The addition of test automation provides regular updates required for the software to keep up with the latest innovations and expectations. Significant metrics to consider before calculating test automation ROIThe three most important parameters to consider in test automation ROI calculations are Speed, Quality, and Cost.SpeedEvery manual tester manually executes test cases for a fixed time every day. However, test automation tools practically work 24 hours a day, executing test cases automatically. Advanced test automation tools run a significantly large number of test cases within a short time. They increase the chances of detecting defects easily, at a low cost, and bugs are easy to fix up. The testing cycle becomes robust with the adoption of test automation, saving time and money substantially. Speed enhances the product quality output with fewer or no bugs in a real environment and saves time during the testing phase. QualityThe testing life cycle involving test automation helps in minimizing defect leakages right from start to finish. The product quality increases by 25% with test automation when coupled with the right type of test automation. The risk of manual errors decreases, and it is easy to find bugs at an early stage. Test engineers who adopt test automation utilize the saved time to develop or execute new tests scripts and focus on more critical issues or features of the software.Test automation increases the frequency of testing, high-quality product, and customer satisfaction.CostCost is the most important factor involved in test automation RIO. The problem with Test Automation is that the monetary benefits are never marked immediate. Viewing from a long-term benefit, the cost of setting up an automated testing tool and testing engineers is expensive. Every testing process looks costlier compared to manual testing until the business reaches breakeven. The two major factors involved in this process are the cost of automation test engineers and investment in testing tools. However, it is important to invest in advanced infrastructure as a one-time investment for future success. Other factors involving cost-efficient are defect leakages and the choice of test coverage. Test automation tools implement test execution on their own, considerably saving time and money.Tips to improve Test Automation ROIFaster delivery Fixing defects is one of the highest unaccounted costs within a software development process. The testing cycle is a tight loop between the development of code and the testing process to produce the right outcome. Time plays a significant role while developing a code or while detecting a defect to obtain desired code intended. Manual testers take months to fix issues because they need to relearn the original codes; however, test automation takes minutes to run a program the moment code is complete.Test automation decreases the defect costs and reconsiders the market opportunities making way for success. The time taken before test automation and after test automation provides you with the fastest time of delivery. The total time includes all the time- developers, product owners, customer service, testers, and others spend on identifying, prioritizing, and fixing defects. To determine and compare the result after any test automation, all you need to consider is the total number of hours and multiply by a reasonable average hourly rate, including benefits. Therefore, the return on investment (ROI) will be the total return (the number we just found) minus the total invested, divided by the total invested. If the result is greater than 1, it is a profit else; it is a loss.Find more regressions After the introduction of test automation, it is typical to identify more regressions. The process of regression helps in identifying defects more quickly. This process may not be documented or recognized; however, a developer can view failed tests in the continuous integration (CI) environment. If the average cost of regression is fixed before automation, then you need to multiply by the count of regressions. This can be reworked after the introduction of test automation, showing the difference as the gain. Regression helps in reducing the average time required to fix defects. Generates more testable productsMore testable products are generated when you adopt test automation. Therefore, businesses need to define the product benefits both qualitatively and quantitatively. Sometimes, products can be tested at a jiffy with a single call from the client’s end. When a product is more testable, it can be displayed in the market very quickly, tested in n number of ways, and less chance of missing used cases. Businesses are attracted to more testable products because they have confidence in what the product does.Test automation helps in replacing manual checks with machine checks with several benefits. Repeating the same test scripts or cases over and over is a mind-numbing task for the testers. Test automation energizes testers and fuels them to find valuable defects. It enables to run regression anytime with a single click and get instant results rather than wait days or weeks. Formula To Measure Test Automation ROI Calculating test automation ROI can happen only on real browsers and devices, not emulators and simulators. Device fragmentation is a significant concern for every developer or tester involved. The software needs to be tested on real devices to help it function accurately in real-world circumstances such as a low battery, incoming calls, weak network strength, and many other factors. This allows users to run the software on multiple devices or browsers by simply signing up, logging in, and selecting the required combinations. Calculation of Test Automation ROI through formulaThe most commonly accepted method of calculating test automation ROI is the formula below:ROI = Savings ÷ InvestmentWhere Savings Denotes : The amount gained by substituting manual tests with automated tests.It is the difference between the cost of running manual tests with the automated tests. Saving = [Time to run a single manual test - time to run the same test in automation]x Number of test x Number of test runs.  & Investment Denotes: The costs poured into setting up test automation pipelines.ROI can denote either unit for savings or investment – usually related to money or time.Calculation of efficiency of ROI Ideally, it is calculated in hours , however manually, it is expected to test for 18-20 hours a day while automated tests can be run through 24 hours a day. There might be some interferences expected like pause or delay. Automated test script development time = (Hourly automation time per test * Number of automated test cases) / 8Automated test script execution time = (Automated test execution time per test * Number of automated test cases * Period of ROI) / 18Automated test analysis time = (Test Analysis time * Period of ROI) / 8Automated test maintenance time = (Maintenance time * Period of ROI) / 8Manual Execution Time = (Manual test execution time * Number of manual test cases * Period of ROI) / 8The ROI in test automation is a vast process, and the teams only consider the amount of time it takes to run a suite of tests compared to manual testing. Test automation offers other benefits, both qualitative and quantitative. Every test engineer is aware of how to draft the test scripts to achieve a profitable return on your investment.The need to raise the standards of business websites has paved the way for much-advanced software in the tech world and testing procedures. To thrive in the cut-throat competition among businesses, advanced test automation procedures and optimizations keep business websites fast as well as smooth. Therefore, adopting automation testing is necessary not to lag.How Our Services Can Help You Increase Your ROIWe’ve gone through some methods to build excellent ROI calculations for your testing automation. While it’s all well and good to ensure extraordinary measures, your goal is to maximize that ROI. This is where QAoncloud comes into the picture as we offer the best way to maximize your ROI, which will always minimize the time spent writing and designing tests. That’s what QAonCloud is here to help with.If you’re thinking about test automation but are concerned about maximizing your ROI, QAoncloud can help you identify the options to cut that initial cost. You’ll optimize your long-term costs and maximize the quality of your testing architecture to fulfill the needs of today and tomorrow. Contact QAoncloud and determine how you can maximize your team’s testing ROI today."

    Read More

  • Test cases for Automation testing

    How To Select Right Test Cases For Automation Testing

    "Automation test criteria: From withdrawing cash from ATMs, taking medical appointments, to buying parking lot tickets and groceries, automation is everywhere. The automation of straightforward tasks as well as complex activities like self-driving cars promises to save you a lot of time and costs.The same is the case with testing practices. Back in the old days, software testing was only about finding application errors. But today, the scope of testing has broadened like never. Most common testing approaches like functional testing, regression testing, integration testing, are being replaced with automation tools.“A quick fact: More than 50% of the projects are tested automatically - (Test automation landscape 2020 report)”Automation has surely changed the whole testing scenario but having said that, the most difficult task is to decide whether test automation is required or not. Of course, everything can be automated, but it is important to consider automation test criteria before you rush to the decision.So, the smartest move is to automate the right test cases to maximize your testing journey. Before we move ahead to the selection of test cases, let’s quickly understand what a test case means. How to identify the right test cases for automation? If you wish to select just the right automation test criteria, you need to have a plan that helps you to get the most benefit out of your automation testing efforts. Well, you do not have to start from scratch while determining the test cases for automation but there are a few crucial factors that need to be considered while identifying the right automation test cases. If the testing frequency and execution time are significant, automation is a must-have for these test cases. In context to resource requirements, it is crucial to check the involvement of devices, operating systems, browsers, databases, and platforms while running the test cases. It also depends on the involvement level of users (the higher involvement means less likelihood of automation). Another factor is the identification of test cases that require complex and flaky features or have a defined outcome for testing software (the more complex features lead to more likelihood of automation to avoid human error). Lastly, the automation downsides should not outweigh the value derived by automation testing. Here, the value includes the saved manual resources, time, and insights. And the downsides of automation include the cost of implementation and maintenance, human flexibility.Now that you know the automation test criteria, it is time to choose the right test cases for automation.  These test cases need to be compared carefully with the criteria. Check below to understand which test cases you should automate and when to test to avoid automation. Test types fit for automation Regression test (sanity and smoke test): These tests consume a lot of resources and time as they are the backbone of every release of the testing process.Performance tests (stress and load test): These tests are very repetitive and consume a lot of time to reach the desired test coverage.Data-driven tests: These tests are conducted on the crucial features of the application under test (AUT). It utilizes automation to minimize the human error potential on the critical components and data related to the product.Repetitive test runs: This is the golden rule of automation that if the test run is repetitive, it should be automated. It will help you derive precise and accurate results, every time.High-risk test cases: If the involvement of risk is high, the test cases should be automated. It will help you prioritize the test cases based on the potential of human error hazards.Web application with critical parts: It is recommended to automate the critical parts of the application as it will help you to avoid possibilities of human errors. It is especially important for test cases that can jeopardize the overall web application.Extensive tests: The test cases that imply large data sets need to be automated. It also increases the possibility of making mistakes in the case of manual testing.Complex test cases: Automation is almost a rule when it comes to complex test cases. It helps you to be on the safe side while saving a lot of time.Other tests: Some test cases that need to be automated are API tests, integration tests, cross-browser tests, unit tests, etc. Test types not suitable for automation Although automation is a promising solution for the speedy and high-quality testing process, automating everything will do you more harm than good. To overdo or misuse automation testing, stick to these four principles: always automate repetitive tests, risky tests, complex tests, and time-consuming tests.  This will help you focus on specific automation test criteria and leave some valuable time for dealing with tasks that cannot be automated. Here are some tests you should not automate:Ad-hoc tests: There are no concrete criteria for evaluating the software application and therefore, automation can result in false outcomes.Usability testing or User experience tests: Automation cannot mimic the exact emotions and expressions of humans. For the same reason, these test cases should not be automated.Intermittent or low-risk tests: These test cases produce unreliable results when they are automated.Anti-automation: Some anti-automation features like CAPTCHA should never be automated as they can hamper the whole purpose of the feature. Steps to identify the right test cases for Automation Step 1: Identification of the parameters on which the test case is based for automation. Below are some identified parameters. However, you can identify your specific parameters based on your application.Tests that can cause human errorsRepetitive tests that are used for multiple buildsTests that are performed on multiple software or hardware platforms, and configurationsTests that require different multiple data setsFrequently used functionality with high-risk conditionsTests that take a lot of manual testing efforts and timeTests that are stable, low risk, and unlikely to change oftenTests that have a significant downtime between steps. Step 2: Break the application into specific modules. For every module, it is important to analyze and identify the test cases that should be automated. The below list will vary depending on the project and can be further enhanced to suit your needs:Y – YesN – NoStep 3: Consolidate various test cases for every module as shown below. Here, the details are quantified and provide an estimate to finish the testing process manually.Step 4: Once the granular level details are identified, they can be presented in the below manner. Step 5: Consider the below attributes that form the basis for determining the return on investment. Time to develop and maintain the scriptsPurchasing and licensing cost of the automation toolManagement of overheadsCost and time to train the resourcesBased on the above factors, below is an example of test automation ROI calculation for 5 years.*ROI = (Cumulative saving / Investment through automation) *100Defining entry and exit criteria for test automationEntry and exit criteria are specific conditions that need to be satisfied to enter or exit the project cycle. In context to automation test criteria, entry criteria are the conditions that should be satisfied for the testing to begin. And the exit criteria are the conditions that should be satisfied to stop the testing process. Entry criteria: Once the design document is approved, the test plans need to be prepared in the planning phase. The necessary hardware should be installed and configured, and their functionality should be checked properly. The software code should be unit tested and signed off by the developer team. The test data and test cases should be prepared in advance and the resources should be well trained about the tools and their functionalities.Exit criteria: When at least 95% of the test cases are passed, the tester can exit the testing phase. However, it is very challenging to determine when software testing can be stopped. Some of the primary criteria include:When all bugs are fixed.When more than 95% of test cases are passedWhen the deadline is reached, or agreement is signed off.When alpha and beta testing is completed.Well, there is no thumb rule for deciding the exit criteria. When the testing of primary functions is achieved, the testing usually stops, and the team looks for minor bugs that can create trouble later.Test automation tool selection criteriaThe selection of a test automation tool is one of the most important steps as it greatly affects the whole automation effort. If you select the right tool, it leads to an easier and effective automation process. Here is the list of the most important aspects to consider while selecting the automation tool.Technology and platform support - Are you testing WPF, C#, or .NET application and their respective operating systems? Do you need mobile application or web application support? Do you work with different operating systems, Android or iOS?                  Skill level flexibility - Is your QA department comfortable in writing automated test scripts or is there any need for keyword testing?Feature-rich - Does the automation tool support record and playback test creation and manual creation of automated tests. Does the tool have the right set of features for implanting the checkpoints to verify the database, values, and key functionality of the application?Maintenance - Create automated tests that are maintainable, reusable, and resistant to change in the user interface of the application. Will the automated tests break if there are any changes in the UI of the application?Integration with the ecosystem - Does the automation testing tool integrate with CI/CD pipelines such as Azure DevOps? Does the tool support test management frameworks like Zephyr and defect management systems like Jira?Testing of enterprise applications - Does the tool offer out-of-the-box support to test the enterprise applications like Oracle, SAP, Salesforce, etc.Automate your testing strategy with QAonCloudJust because you can automate every test, does not mean you should always do it. If everything will be automated, it will require a lot of software maintenance, additional money, and time. It is crucial to take great care of automation test criteria while selecting the test cases to ensure sustainable automation.No doubt, automation testing is one of the best ways to accomplish all the testing goals and effective utilization of time and resources. But you need to be very cautious about selecting the right test cases and automation tools otherwise you will end up remaining on the shelf and with no return on investment. If you are looking for just the right match for your automation testing requirements, QAonCloud is your one-stop solution. It makes the automation, execution, and maintenance of automation seamless - all from the cloud. With QAonCloud, you can easily automate advanced test scenarios on multiple browsers and devices in the cloud anywhere across the world. See how we work to build a cutting-edge automation process and ensure maximum test coverage at scale. Contact our QA experts today. "

    Read More

  • Artificial intelligence in Automation Testing

    Unleash the power of Artificial Intelligence in Automation Testing

    "AI automation testing: We live in the age of disruption. Our daily lives have changed. Industries are getting transformed. From large to small businesses, AI is being used widely across the world. Let’s look at the key statistics about Artificial Intelligence.  “Artificial Intelligence” and “Software Testing”As the usage of AI has hit our day-to-day life, its impact on the software industry is not far away. And AI automation testing is one of the hottest trends of the industry.  If you remember the days when testers used to take several hours to manually test the software but still, it could not be tested comprehensively. Thanks to test automation that allows conducting software testing with reduced manual effort and high-quality results. AI continues to permeate the modern world, it has become more crucial to validate that the systems are safe, secure, resilient, and functional. Fortunately, the application of artificial intelligence in software testing is focused on reducing mundane and tedious tasks in the software development lifecycle. You must be wondering that test automation tools already do it. And the answer is - “Yes! They do” but their usage is limited. A few decades ago, manual testing ruled the testing world but today, AI automation testing has made a substantial contribution in the testing environment. Let’s understand more about AI-driven testing.Before we dive into the details, here is everything you need to know about AI-based testing, approaches and tools of AI automation testing, AI-based software testing case studies, and more.What is AI-based Testing?AI-based testing is a technique of software testing using AI and machine learning algorithms. The objective of this technique is to make the testing process more effective and smarter. With the inclusion of artificial intelligence in testing, innovative problem-solving and logical reasoning can be used to improve the overall process of testing. Need of Artificial Intelligence in Software TestingOften, software developers cannot do exhaustive testing of the application due to a lack of time and resources. For the same reason, there is a dire need for AI-based software testing that can automate the processes efficiently instead of human testers that unnecessarily inflates effort and costs. The smart algorithms of AI automation testing help testers in funding the maximum number of bugs in less time and will make the application more accurate and reliable. Moreover, AI-based testing is tremendously helpful in safeguarding the software breakdowns while making more productive and smarter software for the end-users.Use cases of Artificial Intelligence in software testingOn the bright side, testers have recognized the potential of Artificial Intelligence to bridge the gap between human and machine-driven testing capabilities. Here are some examples of how AI is used in the software testing process.Detection of mobile app crashesThere are many frameworks that are used to index the software automatically after every crash so that the testers can focus on more human-centric tests. It allows the test engineers to accomplish more crucial tests like automating the detection of memory leaks (iOS) or troubleshooting the JNI integration (Android).Review of static programsSymbolic Artificial Intelligence is a smart decision-making tactic that employs rules. For example, Deepcode.ai leverages symbolic AI to review the software code that does not adhere to best coding practices but also extracts the potential attack vectors within the code.Leveraging the user traffic to analyze the test coverage and automated test generationNot every test can be assigned with equal weight. Some tests are more likely to result in user error than others. AI automation testing allows to assemble click data, and use the data analytics to determine which key user flows need to be examined. It automatically creates the test code to produce a comprehensive test suite.Leveraging AI to decide whether to conduct a recall in case of faulty test implementationA key issue with Continuous Development (CD) is related to the rolling back of deployment after the identification of any mistake. Harness.io helps in solving this issue by analyzing the observability data from application performance management tools such as New Relics, Sumo Logic to determine the need for rollback.Monitoring and forecastingSystem observability is one of the most common needs in the testing environment. The primary application in this context is log aggregation and analysis. It enables users to configure standard machine learning algorithms such as logistics and linear regression, and so on to Splunk the data. The Machine Learning Toolkit smart assistants make this process even more simple.Searching errorsPerfection does not exist and cannot be attained, and this is why the developers and tests can write erroneous test codes. The flaky test codes have a direct impact on quality assurance and kill a lot of time. Mostly, the process of identifying the error code placement could be onerous. AI automation testing helps in examining the codes in real-time, identifying the errors, and making corrections in specific scenarios.Approaches of AI Automation testingContext-driven testingIt is a context-based model rather than going by the method of testing or fixed best practices. It allows testers to choose their techniques, objectives, documentation, and deliverables by looking into the details of the particular situation. It is not just a technique but a set of values related to the test methodology. So, no thumb rule applies to all cases when it comes to context-driven testing.Model-based testingIt means using models for describing the test strategies, environment, generating test cases, executing tests, and evaluating the overall design quality. This approach ensures the possibility to trace the relationship between models, requirements, test cases, and codes used for the tested system. The models are utilized to generate the test cases automatically and represent the expected behavior of the system under test.Linear scriptingThis approach is based on the record and playback testing process which always leads to linear results. In this script-driven framework, the test scripts are created and executed individually to perform the tests. The automation scripting is also conducted in an incremental manner where the new interactions are added to the automation tests.Modular testingThis framework is built on modules. The independent test scripts are developed based on modules to test the software. The abstraction layer is built specifically for the components and ensures that the changes made to a part of the application do not affect the other related components.Data-driven testingIn this framework, an individual file is used to store the input and expected output. A single driver script executes all test cases with multiple data sets. This script includes navigation to spread through the program and covers the reading of data files and information about the logging of test status.Keyword-driven testingIt is an application-independent framework and utilizes the keywords and tables to explain the actions to be performed within the testing environment. This approach can be considered as an extension of the data-driven testing framework.Behavior-driven development (BDD)In this method, the tests are more focused on the behavior of the system. The testers can easily create the test cases in the English language. It helps the non-technical users to easily understand and analyze the test cases.AI Test automation toolsWhile the first wave of testing was filled with manual testing methods, Selenium began the second wave of test automation in the world of software testing. Now, the current buzz is around AI automated testing. Businesses are rushing to use AI-based testing tools and taking the move to the next wave of test automation. Here are a few of the new wave automation tools that are leveraging AI technology. Differential toolsLaunchableThe tool is based on a machine-learning algorithm and predicts the likelihood of the failure of each test. The tool enables the user to record the test suite so that the tests that are likely to fail can be identified.Google OSS-FuzzThis tool combines the modern techniques of fuzzing with distributed and scalable execution. The tool is well-supported by Rust, C/C++, and Python.Visual AI testing toolsApplitoolsIt is an AI-based visual testing tool. Applitools is a next-generation platform for test automation powered by visual AI. The grid helps in cross-device and cross-browser testing to accelerate visual and functional testing by 30 times.Percy by BrowserStackIt helps in high-speed and cross-browser rendering along with parallelization capabilities. BrowserStack is typically used to capture screenshots and compare them against the display visual changes and baselines.Declarative toolsTricentisThis tool combines different aspects of software testing like the design of test cases, test automation, generation of test data, and analytics to test APIs and graphic user interfaces from business perspectives.UiPath Test SuiteThis tool is used to automate tests and helps in managing and executing the tests. This tool is helping businesses with 360-degree testing and helping robotic process automation developers to build and test better.Self-healing toolsMablIt is one of the leading AI automation testing platforms built for continuous delivery and continuous integration. It crawls the application screens and runs the default tests while using machine learning algorithms to detect defects and improve test execution.TestimThis tool utilizes machine learning and artificial intelligence algorithms to automate testing. The AI automation testing helps in the authoring, execution, and maintenance of the tests rapidly. The tools also include the self-maintenance of machine learning-based tests.The Future of AI in Software TestingThe use of AI in software testing is not a new concept anymore. Initially, it started with visual testing of user interfaces, auto-correction of element selectors, locating the UI elements, and alike. AI has continued to evolve by enhancing the existing tools and frameworks of the testing environment. As technology progresses and machines are getting trained on higher-order tasks, AI is likely to take over all the activities and tackle the contextual problems smartly. Let’s see how AI testing is progressing into the next decade. With the progress of AI automation testing, the fact remains that mimicking the human brain is not an easy task. After all, humans are the users of technological innovations and for the same reason, human understanding and creativity are required to ensure the best product quality. Manual testing remains essential in the future, but it is more likely to be complemented with automation and AI. Rather than AI replacing the human testers, AI can augment the software testing practices and infuse human testers with the efficiency of superhumans. So, the leaders and innovators in the industry will continue to discover and dissolve new boundaries with machine learning and AI. Now is your turn to take the test automation strategy to the next phase. Whether you are just beginning automating tests or reaching continuous testing, QAonCloud can help you with end-to-end test automation. Don’t wait anymore to step into the future of the software testing world."

    Read More

  • what is test automation

    Test automation 101: Should you automate your Software Tests?

    "What is Automation Testing?Automation test is a software testing process that uses test scripts to simulate software testing in a test environment. It is a set of techniques, technologies, and tools that automate software testing. They help the tester to test software effectively and systematically.Test Automation methodAutomated testing works by recording what you do, running the program under test and checking the results.The manual testing process may take multiple iterations, with each iteration being an opportunity to find additional defects. But using an automated test harness to exercise the software under test (SUT). Automation testing covers a wide range. It includes in-depth and broad testing. Deep- and broad-testing is a process of testing the application thoroughly. The tester goes through the application, considering all the essential functionalities, from the database to the user interface. The goal of an automation test harness is to exercise the system under test under a controlled, repeatable, and known environment. This can be as simple as automating a simple test script or as complex as automating a complete regression automated testing is not the only kind of software testing.Automation testing is a quick and effective way to ensure that your products work correctly and do not have bugs.Automation Testing is a procedure that is considered a key to increasing the quality of a product.Automation testing helps to:Eliminate human errorsIncrease test coverageImprove test efficiencyIncrease product qualityIncrease the reliability and security of softwareEnsure the sustainability & maintainability of softwareHow Automated Testing Can Be Used To Reduce Costs and RiskAutomation testing aims at increasing software quality and reducing the cost of testing. Automation testing is not a replacement for manual testing, but an effective method to reduce manual efforts.Reducing risk is about reducing the probability that you will make a wrong decision and the consequences of that decision. Reduction of risk has two dimensions:Improving our understanding of the problem means learning how other people have solved it, and knowing what their risks were.Improving our ability to solve problems means improving our technical, organizational, and interpersonal skills.Reducing cost is about reducing the total cost of doing automation testing. Bugs are fixed only when they occur or are found. So testing has to happen at least as often as the change rate, and that costs money.Reducing cost has two dimensions:Automation testing is not cheap, but there are ways to make it cheaper. You have two choices: it can reduce overall testing cost, or it can reduce the cost of the tests you run.The cost of automation testing is reduced by specialization: the more people and computers you put into making automation tools, the cheaper it is.Benefits of test automation (comparison with manual testing)Test automation is not magic. But it is powerful. Test automation can be kind of costly, Automation testing is more trusted than manual testing. Manual testing is done on individual platforms. Automation testing tests are performed on multiple platforms and platforms on which the application is expected to be used. Manual testing takes time and is error-prone.Test automation has other benefits, including:Planning process that is more effective because test automation helps organizations understand what is happening to their applications.Better quality because the software that has fewer errors is easier to use.Test automation allows organizations to cut costs. To develop more software with fewer errors.Because of test automation, productivity has increased, making it possible for people to do more work in less time.Guess Who Tested Faster? Manual Tester vs Automation TestersWhen one tester creates a test script, and another starts a test, they will be working toward the same goal. Manual testers use traditional testing techniques, such as testing software manually, that ensures that their programme performs as expected. The objective of the automation tester will be to develop a decent test script that will verify that his programme continues to operate when it is updated.4 Reasons why Test Automation is better than Manual TestingTest automation is of immense help in improving the quality of software. Automated testing has higher productivity than manual testing. Manual testing is a time-intensive process. It requires good knowledge of software and testing domains.Here are the Top 4 Reasons Why You Should Automate Testing.Saves TimeManual testing is a long and complex process. It consumes a lot of time, but the results are uncertain. Automation saves time and reduces cost. It also increases productivity. Increases AccuracyAutomation testing provides accurate results. The automation testing tools are highly accurate and reliable. Prevents ErrorsAutomation testing helps in eliminating errors. The automation testing tools allow testers to perform tests repeatedly and continuously. The automation testing tools ensure the quality of the software.Improves AccuracyAutomated testing software enables testers to perform tests repeatedly and continuously. The automation testing tools ensure the accuracy of the results.A brief description of automating tests with popular toolsWe use the best QA tools for various testing activities, starting from planning to maintenance and analyzing your requirements to determine the suitable tool for your application. You can save time by automating repetitive tasks with these tools.Test Automation Tools​​SeleniumSelenium is a Web testing tool, and it is one of the most popular tools for Web programmers to test their Websites. It allows you to test your website or someone else's. For example, to test a website, you log onto the site and record what you do. You can then test your recording with a different browser to check that it works. There are four components of Selenium, selenium IDE, selenium remote control, web driver, selenium grid.Testproject Testproject.io provides a web interface for creating software tests, running tests, and analyzing results.Testproject.io allow you to write automated tests, build them locally, run them in the cloud, and share the results with your team.It allows you to run tests for: Mobile and desktop apps using iOS and AndroidJava, Scala, Groovy, Python, Ruby, R, and many other languageWeb applications, REST APIs etc.,Cypress Cypress's tools are powerful enough to be practical. Writing tests with Cypress is fast enough that Cypress's tools can be used as a test runner in continuous integration. This is very fast and easier, and more reliable tests are written.JMeter JMeter is a load testing tool. The kind of load testing that JMeter does is called "stress testing". JMeter tests involve sending lots of requests to a web server at ultra-high rates. You can test your web server using JMeter by sending lots of requests to it. JMeter is extensible. You can define your test cases. It lets you perform functional testing of web applications, web services, APIs, web services frameworks, etc. The supported protocols are HTTP, HTTPS, FTP, LDAP, JMS, SOAP, FTPS, and Gopher.CucumberCucumber is a Behaviour-Driven Development (BDD) framework. Its strength lies in its ability to scaffold an end-to-end test automation pipeline, from feature description to automated tests, with an ability to debug the tests at a very granular level.The Cucumber tools work by combining several approaches:Writing plain English descriptions of what the software should do.The Cucumber tools work by combining several approaches:Implementing the executable code Running the executable code.Unified Functional TestingUnified Functional Testing tool is "unified" in that it lets you run tests that need to happen at different phases of your software's life cycle. Traditional testing is usually limited to testing at one particular stage of a software's life cycle.UFT is "functional" because it lets you run tests designed to test software functions.UFT tools let you run tests at different stages of software testing.AppiumAppium is a framework for automated testing of mobile applications. The framework allows developers to automate tasks on real devices, including simulators, emulators, and real devices. Appium also supports testing in hybrid environments: native, web and hybrid.Appium is a UI automation framework. It's an open-source project, and you can use it to run tests on iOS and Android devices.Appium is cross-platform. You can run it on Windows and Mac, and LinuxAppium is cross-browser. You can run it on Safari, Chrome, Firefox, and EdgeAppium is multi-device. You can run it on iOS and Android.RanorexRanorex provides a framework of tools, infrastructure and services to help development teams perform automated functional and cross-browser testing of their web and mobile applications. Ranorex offers automated browser testing services. It is a set of easy-to-use automated browser testing tools that run on all popular operating systems. Tools help to automate manual testing. The Ranorex Studio has basic functions like adding, editing, and deleting items and searching for specific elements.Katalon Studio Katalon Studio is a browser-based testing tool for automated functional testing. It can run different types of tests, and it supports test management, reporting, and visualization. With it, you can automate functional testing on Web, Mobile, and API applications. With its flexibility, usability, and support of various programming languages, Katalon Studio has become a popular test automation solution among software testers.Web-based testsUnit testsFunctional testsBrowser testsLambdaTestLambdaTest is a test automation tool that allows you to create test scripts and execute them against real users. It enables you to test mobile websites and web apps. You can try on actual browsers, operating systems and screen sizes. LambdaTest provides three testing modes: Manual, Simulated, and Automatic. ​It automates manual testing by adding tests at the user level. Test scripts can be executed only from the browser and only with predefined browser settings.ConclusionWe hope that we’ve provided you with some information that will help you get started with testing automation. Automated testing is a great way to improve your testing process and help you deliver your product faster. We, at QAonCloud, provide various Testing services which are reliable and reasonably priced. Test automation made simple, don't be afraid to start! Get a FREE Consultation with our test automation experts and understand how we can help you scale up your test automation efforts."

    Read More

  • Life of a tester before and after automation

    [INFOGRAPHIC] Life of a Tester Before and After automation

    "Gone are the days when testers used to sit before computers to execute hundreds of test cases. The life of a tester has been changed so much with the invention of QA analysts used to execute test cases manually to discover bugs in a software application. Although manual testing is less expensive when compared to the amount we spend on setting up the automation testing environment and the tools, the manual tests are not so reliable as it involves humans in the process. Also, the testers were unable to re-use testcases in manual testing and had to do repetitive tasks by themselves. Thanks to automation testing and automation testing tools, testers don’t need to spend long hours testing repetitive tasks. Here is how the tester’s life has changed over the years and after the invention of automation testing. Also Read: Accelerate and Simplify Agile Testing with Scriptless Test Automation Reading Time: 3 minutes: Test automation has become an integral... Read More How To Select Right Test Cases For Automation Testing Reading Time: 5 minutes: Test cases For automation testing –... Read More A Beginner’s Guide To Test Automation Framework Reading Time: 3 minutes: At the point when you start... Read More"

    Read More

We'd Love To Hear From You.

QAonCloud offers manual and automated regression testing services to ensure the functionality of your application after every change of code.