Test automation metrics are the secret weapon of successful QA teams. In fact, the right automation coverage metrics provide an unbiased, deeper understanding of your QA process so that you can identify and fix pain points while improving your team’s performance and efficiency.
QA Metrics have proven to be profoundly beneficial for QA and development teams. They help teams quantify their performance, progress, and quality of work. Our team of expert engineers have designed a checklist of metrics that will help you create an efficient and comprehensive QA process. These fundamentals QA metrics will give an insight into your process and how you should track them.
While automation testing can help streamline your agile development process, it's not a quick fix solution. Truth is, automation testing can work against your best efforts if implemented incorrectly or executed poorly. Since automated testing can be a significant investment for organizations of every size, a confirmation that your team’s resources are allocated appropriately for every stage of every project can go a long way.
Is there a clear way to see if automation testing is working for (or against) you?
Your test automation approach and metrics should make you feel good about yourself. They are supposed to let you know what is working well within your software development process and what needs improvement. The right approach and metrics will also reassure you that you’ve made the right choice in implementing test automation in the first place.
Recently, QASource, in conjunction with Sauce Labs, presented "Measuring Your Way to Successful Automation," a webinar during which QASource took a poll of its attendees about their automation metrics. Using the results of this poll, QASource put together an infographic that highlights the many ways metrics can benefit QA teams and testing projects.
Many automated test scripts fail because of flaky tests, false positives or poor code. As a result, many companies are consistently updating their test scripts and having difficulty automating new features.
