

- Regression testing adalah how to#
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Rather than suggesting the organization pour more resources into coverage for that code-base, the data showed that maybe it needed to be abandoned altogether.
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In one instance, he managed to take a trove of defect data from his organization to prove that the majority of issues were coming from an old code base that was only being lightly maintained. Real World-Fix: Take a Data-Driven Approach to QA CoverageĪ big believer in data-driven quality improvement, Bleacher Report’s Quentin Thomas says the best changes are made based on facts rather than feelings. It might mean borrowing product managers or some developers from other projects and re-assigning them for a month or two to build up test coverage or automation around that feature. It doesn’t mean abandoning everything else in the interim, but instead repurposing a few extra resources and muscle to make a difference in the targeted technology.įor example, if the majority of customer complaints focus on one aspect of a product then a short improvement initiative would be well spent solely in improving quality around that aspect. It might seem obvious, but if an organization starts hunting around in its metrics and finds that the majority of issues revolve around a specific application, product feature or code base, then the greatest gains are going to be made if an improvement initiative focuses in on that specific software.
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Solution: How to Minimize Defect Clustering This is the Pareto Principle 80% of your issues come from 20% of your features.
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Jason Gorman, Software Engineer Are you affected by Defect Clustering?

When I fix these new defects, I change more code, which creates a higher probability of more new defects.” Whenever I create or code, there's a probability that I will introduce a new defect (or three). “When I fix a defect, I change some code. Whatever the reason, the ability to identify defect-prone areas of your product is an essential. Defect clustering simply means that a small number of features have caused the majority of quality issues in an application.Ī range of culprits may be responsible for defect clustering, from legacy code prone to breaking, to newer features that are undergoing frequent changes, to a particularly fickle 3rd-party integration. What is Defect Clustering?īugs are not often distributed evenly throughout an application. Bleacher Report’s Senior Automation Engineer Quentin Thomas also weighs in with a real-world approach to addressing for defect clustering. In this post adapted from our guide 90 Days to Better QA, we’ll explore how to keep clusters of bugs from bringing down your quality. Many teams encounter defect clustering and other quality issues as they build out a more complex product.
