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5 Quality Metrics That Let You Know Your Automation Is Successful Or Not

According to Polaris Market Research, the global automation testing market is expected to grow at a CAGR of 19% during 2022-2030. With the rapid adoption of automation testing in the world, many enterprises have begun employing advanced DevOps and Agile approaches to testing.

With this, it is evident that firms rely heavily on automation to deliver bug-free software solutions in the market faster. As a result, they are spending a great time configuring frameworks, integrating tests in CI/CD pipeline, and periodically running them.

But how do you know that your time spent is worth the outcome you’re receiving? It is where test automation quality metrics save your day. These metrics are essential to gauge the efficiency and effectiveness of your testing operations.

By understanding these metrics, you can compare your actual output with the desired one and make informed decisions regarding the reliability of your testing process. So, let us now see the five quality metrics that testers must apply in their automation testing strategy to see whether the automation is successful or not. 

5 Quality Metrics To Measure The Success Of Test Automation

Let us now take a look at the top five quality metrics that analyze the overall health of your testing process and help identify areas of improvement to streamline the testing process:

  1. Automation Test Coverage

Test coverage has become one of the top-quality metrics for developers and testers to estimate the amount of testing achieved in the whole test cycle. It is a black-box approach that calculates the number of test cases performed.

In automation testing, automated test coverage shows the percentage of test coverage achieved compared to manual testing. By ensuring maximum test coverage, the teams ensure that most of the components have been tested thoroughly and there is no room for further improvement. 

If this metric is not analyzed properly, there is a high-degree chance that the apps you roll out in the market have many bugs that can hamper the user experience drastically.

To ensure test coverage in automation testing, choosing the test cases that require automation is important. Generally, testers must automate test cases, including repetitive actions like login forms, registrations, and input boxes. Further, you can also automate tests that require testing on multiple browsers and OS devices.

With this, you get faster feedback and higher accuracy, which saves considerable time and cost in test execution.

  1. Percentage Of Automatable Test Cases

At the beginning of the automation testing process, the percentage of automatable test cases is calculated to prioritize which processes require automation and which require manual validation. This is done by dividing the number of automatable test cases by the total number of tests in a test suite and multiplying the answer by 100. 

It allows the testers to generate a balance between manual and automated testing so that an apt testing strategy can be devised. Further, it allows the team to determine the time and resources involved in the procedure to ensure a proper project timeline.

However, remember that the same strategy cannot be applied to all testing projects. With every new app or website, it is important to analyze each app’s complexity and determine its testing requirements. 

  1. Defect Density

The next important KPI is defect density, which allows teams to determine whether the software is ready for release in the market. It is calculated by dividing the number of known defects, bugs, and glitches by the total size of the application for the development cycle.

It enables the effectiveness of the testing operations as the test managers can find out the high-risk components in an application. This allows them to conduct rigorous testing to correct the flaws.

While there is no fixed standard for defect density, it is believed that one defect per thousand lines of code shows that your testing project is good quality.

  1. In-sprint Automation

If you want to track how much automation has been covered throughout the sprint, in-sprint automation is the quality metric you should look at. 

It is calculated as a percentage of the number of scripts created in the test sprint over the number of test scripts created post-sprint. Testers can use this approach to ensure zero automation backlog, and the product can always be tested using automation at all times. 

To be most effective, the testers must follow some best practices while applying in-sprint automation to the testing process. These include prioritizing test case design, leveraging abstraction and virtualization at the lowest level of the sprint, and collaborating with the QA teams for faster realization of outcomes. 

  1. Automated Test Pass Percentage

As the name suggests, this quality metric calculates the number of automation tests that have passed by dividing the number of test cases that passed by the total number of test cases executed. It ensures the stability of the application as a low failure rate indicates that there are fewer bugs to fix in the application.

However, if your test cases have a low pass percentage, then it is clear that there is a need to change existing tests or create new ones. Hence, looking for passed tests in your project is important to maintain consistency over time.

Wrapping Up

As we conclude our blog, it is clear that assessing these five quality metrics is essential for continuous improvement and expediting the testing process. Once the enterprises set up comprehensive automation test suites, and if they’re achieving positive rates in these metrics, they can rest assured that the testing process is on the right path. 

Otherwise, you need to catch potential bottlenecks and optimize testing processes to prevent uninstallations and poor reviews of their applications and websites. 

With the perfect automation testing tools, you can strive for excellence in the testing process and catch glitches and bugs before it is too late. One such platform that can solve all your troubles is TestGrid. 

TestGrid is a leading AI-powered codeless testing platform that helps teams to author and execute test cases at scale to increase efficiency and accelerate quality. With its self-healing feature, the platform saves time in test maintenance by enabling executed tests to fix on their own.

Users can run scriptless automation authored at the TestGrid platform on a combination of 1000+ real devices, browsers & OS.

Moreover, the detailed insights provided by the test logs help teams with easy debugging on the go. This end-to-end testing platform also conducts all testing under one roof, whether API testing, functional testing, mobile app testing, or cross-browser testing. 

So, visit their website and schedule a demo today and get well-equipped to achieve higher performance of your applications and websites.

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