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Test Reporting and its significance in Continuous Testing

Additionally, a software testing report should mention testing strategies, goals, and testing efforts.
Test incident report: A test incident report intimates about any defect that has occurred during the testing cycle. Each defect has a unique ID in the defect depository; a test incident report registers all the defects encountered during the process. High impact test incidents are highlighted in the test summary report.
Test cycle report: It includes a set of test cases required for achieving specific testing goals test of a test cycle. Each cycle uses a different product build. So, information on the product progress through various stages is provided through the test cycle report.
Test summary report:The final stage in a test cycle is the stage of product release. So, the team should have enough information at the end of the cycle to understand the readiness of the product for the release. Test summary report summarizes the final results of the test cycle. There can be two types of test summary reports:
The first one is a phase-wise summary produced after the completion of each phase
The second is the final test summary report to provide the final test results.


Speedy Software Release Demand
In traditional waterfall development methodology, the test analysis reports are maintained and summarized using spreadsheets. It reduces the burden of handling releases, and gives the team the time to compile results and create reports for decision making. After the entry of Agile and DevOps concepts, the faster releases has become a norm; testing happens so quickly and so often, that the timelines to achieve quality have changed from months to weeks, days, and even hours. If these conditions aren’t adhered to, the releases either stopped or delivered
High Data Volume
Testing creates a large amount of data resulting from the exhaustive testing process. The data is either produced by Test automation that involves more and more testing or by the increase in the number of devices, versions, and mobile browsers. We all tend to believe that more data means more information and more insights. Unfortunately that is not the case in all instances. Data is valuable only if it creates actionable insights and backs the decision-making. Too much data, if not treated well, doesn’t serve the purpose, and acts as a noise creating hurdles instead. Noisy data is a consequence of broken test cases, unstable environment, etc. burdens the test reporting with high amounts of irrelevant data that is not needed.
Improper Data Sorting Mechanism
In large organizations, there are many sources of testing data. The data is captured from different testing, development, and business teams. Data also arrives via several tools and frameworks like Selenium for Web Testing, Appium for Mobile App testing, etc. The large volume of data becomes unmanageable if there is no predetermined way of capturing and sorting it, making it impossible to achieve good test reporting.
Cross-platform analysis, reporting of UI and functional defects across browsers
Report repository for sorting, slicing, and dicing of data.