TY - DATA T1 - Data underlying the publication: Mining Software Testing Knowledge from Stack Overflow PY - 2023/06/23 AU - Dibyendu Gupta UR - DO - 10.4121/1e28497e-00d5-4be2-8533-0a143922421c.v1 KW - frequency analysis KW - software testing KW - Stack Overflow KW - automated testing KW - JavaScript frameworks N2 -

This paper aims to uncover and gather testing-related information from Stack Overflow, highlighting it as a valuable resource for practitioners seeking answers and guidance. The objective of the study is to accumulate knowledge from real-life experiences shared on Stack Overflow and bridge the knowledge gap between industry practices and teaching practices. The paper explores different types of software testing, popular frameworks, temporal trends of those frameworks, controversial opinions, and recommended practices/tips/advice/suggestions from Stack Overflow posts. The methodology involves determining search terms through literature, querying the Stack Exchange API, conducting frequency analysis of words from posts, and manually inspecting threads. Our results show that Selenium, Spring, JMeter, and React are the most popular frameworks discussed. Automated testing and JavaScript frameworks have shown an upward trajectory over the years. The recommendations made by practitioners were categorized based on the broad scope of topics covered. We draw comparisons and parallels with related previous research and discuss the technical limitations faced during the study. Overall, this paper uncovers valuable insights from Stack Overflow and provides practitioners with current knowledge of industry practices.

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