Test Design

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
Dozens of workshop tools laid out in an orderly fashion Transforming a Test Automation Maintenance Nightmare into Success

Best practices for test automation emphasize reliability, portability, reusability, readability, maintainability, and more. But how can your existing automated test suite adopt these qualities? Should you address these issues with your current tests, or create an entirely new set of tests? Here are some questions that will help you determine if your test automation maintenance program is operating as it should be.

Vinay Shah's picture Vinay Shah
Person holding sparkler with New Year's fireworks in the background Top 10 StickyMinds Articles of 2019

Teams everywhere are looking to speed up testing without sacrificing quality, so once again, some of the top articles last year were about continuous integration, machine learning, and—of course—how to best implement and use test automation. But readers were also interested in what they shouldn't be doing, with two high-ranking articles about test practices we should stop and a tool you may be misusing.

Beth Romanik's picture Beth Romanik
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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