Gheida Shahrour
The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study
Shahrour, Gheida; Quincey, Ed De; Lal, Sangeeta
Abstract
Community Question Answering (CQA) forums such as Stack Overflow (SO) are a form of crowdsourced knowledge for software engineers who seek solutions to development and programming challenges. While such a forum provides valuable support to engineers, it often contains low quality content that impacts users' experience and the longevity of new users. Past research shows that most of the low-quality content comes from violating general Netiquette Rules (NRs). In the past, several researchers have worked on analysing the content of SO and suggested approaches to increase its quality. However, to the best of our knowledge, there is no previous work that has reviewed the scale of scientific attention that is given to this cause and the recommendations that have been made. We have conducted a Systematic Mapping Study (SMS) using five relevant databases, reviewing 1,489 papers and selecting 18 that are relevant to help to address this gap. We have found that SO has attracted increasing research interest on reducing NRs violations to improve the quality of communication on SO. Interestingly, the majority of papers used manual qualitative and quantitative analysis approaches to investigate this area. We have found that further research is required to identify more violation features, generalisable sources of data and that the use of computational analysis approaches are still needed in this area.
Citation
Shahrour, G., Quincey, E. D., & Lal, S. (2023). The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study. . https://doi.org/10.1145/3625007.3627729
Conference Name | ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
---|---|
Conference Location | Kusadasi Turkiye |
Start Date | Nov 6, 2023 |
End Date | Nov 9, 2023 |
Acceptance Date | Nov 6, 2023 |
Online Publication Date | Mar 15, 2024 |
Publication Date | Nov 6, 2023 |
Deposit Date | Apr 12, 2024 |
Publisher | Association for Computing Machinery (ACM) |
ISBN | 979-8-4007-0409-3 |
DOI | https://doi.org/10.1145/3625007.3627729 |
You might also like
Reflections on the 35th BCS Human-Computer Interaction Conference at Keele University
(2022)
Conference Proceeding
Card Sorting for User Experience Design
(2022)
Journal Article
User-Centred Guidelines for the Design of Curriculum Analytics Dashboards
(2021)
Book Chapter
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search