Mining software testing knowledge from stack overflow

Bachelor thesis (2023)

Authors

D.T. Gupta Electrical Engineering, Mathematics and Computer Science

Contributors

B.A. Ardıç Software Engineering - EEMCS (mentor)
A.E. Zaidman Software Engineering - EEMCS (mentor)
K.G. Langendoen Embedded Systems - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Dibyendu Gupta
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Published Date

28-06-2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This paper aims to unveil and gather testing-related information from Stack Overflow, highlighting it as a valuable resource for practitioners seeking answers and guidance.
The study aims 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 testing-related technologies, controversial opinions, and recommended practices/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 the most popular frameworks discussed are Selenium, Spring, JMeter, and React. 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 the current view on industry practices.

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