Quality Analytics

From Agile and DevOps to the continuous aspect of everything, be it integration, delivery or testing, it is a constant race against time. It is easy to get lost for agile teams when there is so much testing and data. Quality Analytics help teams to measure and monitor your test activities.

Real time visibility

Quality Analytics is an important process that offers insights into various teams’ test progress, productivity and the quality of the application under test. Using test management tools like QMetry, organizations gain real-time visibility for test quality across projects and teams for various report types. Are you testing enough? Are you testing more than necessary? Can duplication be avoided? Are you reusing tests where you can?

The more your tests grow in volume and complexity, the more you need analytics to navigate your journey. Quality analytics provide clarity of data and reporting that show you where the gaps are. So that you don’t waste resource time, money and efficiency in developing, executing or maintaining what is not even required in the first place.

With the help of valuable insight and actionable intelligence derived from all your data, you can shorten the feedback loop and reduce process time and efforts.

Agile teams can release more confidently on schedule by using relevant analytics, data and test run reports.

  • Dashboards: With modern testing challenges, one-size-fits-all type of reporting is no longer enough. You need to build customized dashboard gadgets to gain full visibility and data based on stakeholder/tester preference. With the help of comprehensive test coverage views, executives can take go/no-go decisions. Graphs need to be flexible enough to incorporate user preferences to chart out the data.

Requirements Traceability

Reporting and analytics are also essential to ensure that businesses can track the quality of their requirements and check there are effective tests aligned to each requirement. Dashboards help the stakeholders in making sure that all the crucial requirements are met, and rework is not required. Traceability also helps in assessing which requirements are at risk, working as expected or require further validation.

Additionally, you can meet compliance mandates and gain real-time visibility into the quality, thereby avoiding late cycle surprises.

  • Requirement report: A requirements report provides standard industry matrices used by Product Manager/Owners, Business Analysts, QA managers, Scrum Masters/Owners to get a summarized view on coverage and execution status for selected scope (combination of Project, Release and Cycle).

Advanced Analysis

Areas such as static code analysis, change impact analysis and scope assessment/prioritization benefit immensely from test automation. This helps in preventing defects and accomplishing more within each iteration. Realistic test data can remarkably improve the effectiveness of a continuous testing strategy. Therefore, good test data and test management practices can broaden the coverage and improve accuracy. Data generation is also an important part of continuous testing.

  • Complex visual analysis: Many new test management tools offer easy to use and advanced interfaces to customize your reports for category-based analysis. Using these you can generate the ‘best-fit’ charts for report data automatically. There is no need for writing complex SQL queries to generate this visual data. You can translate complex data into easy to understand graphs and charts based on real-time information and your own requirements and criteria.

To sum it up, data is available everywhere and you can use the data to learn more about the effectiveness and productivity of your overall testing efforts.

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