Просмотр исходного текста страницы Automated Analysis of Testing Reports using Machine Learning Techniques (Мурад Мамедов, SECR-2019)

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Automated testing of complex systems is a challenging task, not only from the testing library support perspective, but also from the test report analysis one. Each test run contains thousands of test cases and produces the same number of detailed reports which can provide us with knowledge about the behavior of the environment, the preconditions, the test-data setup, and, of course, about the defects. We propose automating defect report analytics as a way to improve software testing quality.
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[[File:Automated Analysis of Testing Reports using Machine Learning Techniques (Мурад Мамедов, SECR-2019).pdf|left|page=-|300px]]

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* [https://2019.secrus.org/program/submitted-presentations/automated-analysis-of-testing-reports-using-machine-learning-techniques/ Talks page on SECR site]
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[[Категория:SECR-2019]]
[[Категория:Автоматизированное тестирование]]
[[Категория:Machine Learning]]
[[Категория:Мониторинг]]