Project Management

Articles

Cards and chips at a casino Risk Coverage: A New Currency for Testing

In the era of agile and DevOps, release decisions need to be made rapidly—preferably, even automatically and instantaneously. Test results that focus solely on the number of test cases leave you with a huge blind spot. If you want fast, accurate assessments of the risks associated with promoting the latest release candidate to production, you need a new currency in testing: Risk coverage needs to replace test coverage.

Wolfgang Platz's picture Wolfgang Platz
Pawn chess piece with a king's crown on top Zero to SME: Quickly Becoming Your Own Subject Matter Expert

On a new project, we often lack the luxury of having a subject matter expert available to answer our questions. When that’s the case, we have to become our own SME. Here are a few key methods from the writings and presentations of experts in various fields that deal with information gathering and rapid learning. You can easily use these methods, right now, to quickly gain the knowledge you need in order to move forward.

Thomas Sullivan's picture Thomas Sullivan
Laptop screen showing test data analytics Applying Data Analytics to Test Automation

Testers gather lots of metrics about defect count, test case execution classification, and test velocity—but this information doesn't necessarily answer questions around product quality or how much money test efforts have saved. Testers can better deliver business value by combining test automation with regression analysis, and using visual analytics tools to process the data and see what patterns emerge.

Harsh Vardhan's picture Harsh Vardhan
Computer showing data analysis Rookie Mistakes in Data Analytics

It's easy to make simple mistakes in data analysis. But these little mistakes can result in rework, errors, and—in the worst case—incorrect conclusions that lead you down the wrong path. Making small process changes can help you steer clear of these mistakes and end up having a real impact, both in the amount of time you spend and in your results. Here are some tips for avoiding rookie mistakes in data analytics.

Nels Hoenig's picture Nels Hoenig

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