Researching test quality issues using metrics and analytics

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The article is devoted to the study of quality issues of software testing using metrics and analytics. The paper discusses the main metrics used to evaluate the effectiveness of testing, such as code coverage, the percentage of successful tests and the number of defects. The work also points to the prospects for further research in this area, including the creation of more flexible and effective methods for integrating analytics and metrics into testing processes.

Testing quality, testing metrics, testing analytics, code coverage, machine learning, defect prediction, big data analysis, testing optimization

Короткий адрес: https://sciup.org/170208726

IDR: 170208726   |   DOI: 10.24412/2500-1000-2025-1-3-160-164

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