Find Out If Your Automated Tests Are Working Fine

Automated tests increase productivity and reduce downtime. According to the latest World Quality Report, companies are not counting quality with the number of defects. In this article at Tech Beacon, Ori Bendet shares metrics to discover if your automated tests are working fine.

Assessment of Automated Tests

While automated tests reduce manual labor, an expert must be around to identify the exceptions. Similarly, some metrics can decide the quality of products better than others. Following are the metrics to avoid or utilize for quality assessment of automated tests:

Ignore These Metrics:

Number of Defects: You cannot understand how a product quality by merely counting the number of defects in a product. A single error can singlehandedly impact the project. Even if you use this metric, it is not a perfect indicator of the test quality.

Coverage for Unit Testing: Though it is a popular metric, it is not enough to evaluate product quality. Even with a 90-percent score, you cannot be sure.

Coverage for Automation: The reason for implementing automated tests is because they are affordable. If the tests need constant attention, you are losing productive hours.

Instead, Leverage the Metrics Below:

Percentage of Defects Escaped: These are defects that your customers and salespeople identified after the product delivery. These ‘post-production defects’ are costlier to rectify than during the production stage. A higher percentage means the automated tests are not concentrating on the right features. Ensure that it does not go over 5 percent. However, you can cut some slack for startups and beta products.

Total Cycle Time: This metric reveals the time taken for a single backlog item to move from an ‘in-progress’ phase to a ‘done’ stage. You can further divide the metric into Time to Develop and Time to Test. The Time to Develop metric counts the amount of time a backlog item took to move from ‘in-progress.’ The Time to Test metric reveals the time it took for a backlog item to move from ‘in-testing’ to ‘done.’

Time to Resolve Defects: This showcases the time you take to validate and resolve the bugs in the automated tests. You can further divide it into Time to Validate and Time to Fix metrics. These help you figure out the time-consuming tasks.

Percentage of Crucial Defects: A single high-risk defect is more crucial than several low-priority ones. If your automated tests show numerous critical errors, the development team is not being careful while coding.

Saved Work Hours Due to Automation: Figure out the amount of time these automated tests are saving for the developers. The result is much better than learning the amount you spent on automated tests.

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