Analysis

Articles

Just a Tester? A Report Part Way Through Data Analysis Just a Tester? A Report Part-Way Through Data Analysis

Testers come from a wider range of backgrounds, and have complex multifaceted roles. People who test are not “just testers…” At present, many testers do not feel well-supported by their tools. As my research uncovered stories of frustration, fear, and anger, I realized the illusory role of usability in tool adoption and the importance of understanding who is using those tools.

Isabel Evans's picture Isabel Evans
Car dashboard with various meters and dials 5 Key Elements for Designing a Successful Dashboard

When you’re designing a dashboard to track and display metrics, it is important to consider the needs and expectations of the users of the dashboard and the information that is available. There are several aspects to consider when creating a new dashboard in order to make it a useful tool. For a mnemonic device to help you easily remember the qualities that make a good dashboard, just remember the acronym “VITAL.”

Nels Hoenig's picture Nels Hoenig
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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