Topics, Trends, and Sentiments in Software Testing: An Analysis of Developers’ Engagement on Stack Overflow
| dc.contributor.author | Wambua, Anthony | |
| dc.date.accessioned | 2025-11-28T09:47:30Z | |
| dc.date.issued | 2025 | |
| dc.description | journal article | |
| dc.description.abstract | This study investigated software testing discussions on Stack Overflow from 2020 to 2024 to uncover key trends, topics, and developer sentiments. 14 key topics, including unit testing, machine learning testing, mobile testing (especially Flutter), and Docker testing were identified. The study revealed a decline in developer engagement, as the number of posts answered and with accepted answers decreased, particularly after 2022. Sentiment analysis showed a predominance of negative sentiments across most topics, especially in mobile and machine learning testing. While some topics like machine learning testing initially saw positive sentiment, this shifted toward frustration as the years progressed. These findings suggest that the rise of AI-based tools, such as ChatGPT, has affected the way developers engage with traditional forums like Stack Overflow. The decline in engagement and the prevalence of negative sentiments highlight the challenges developers face in software testing. This research points to the need for further investigation into how AI tools influence developer behavior and their reliance on peer support platforms. Additionally, it suggests exploring how sentiment analysis can be integrated into software testing tools to better address developer frustrations and improve support for testing emerging technologies. The study provides insights that could guide the development of more effective tools and frameworks to enhance the software testing process. | |
| dc.identifier.citation | Wambua, Anthony. (2025). Topics, Trends, and Sentiments in Software Testing: An Analysis of Developers' Engagement on Stack Overflow. International Journal of Computer and Information Technology 14. 159-171. | |
| dc.identifier.uri | https://repository.daystar.ac.ke/handle/123456789/8239 | |
| dc.language.iso | en | |
| dc.publisher | International Journal of Computer and Information Technology | |
| dc.relation.ispartofseries | 14(3) | |
| dc.subject | Software testing | |
| dc.subject | Stack Overflow | |
| dc.subject | Topic Modeling | |
| dc.subject | Sentiment Analysis | |
| dc.subject | Developer Engagement | |
| dc.subject | Machine Learning Testing | |
| dc.subject | ChatGPT | |
| dc.title | Topics, Trends, and Sentiments in Software Testing: An Analysis of Developers’ Engagement on Stack Overflow | |
| dc.type | Article |
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