Analysis of the Relationship between Editing Behaviors and Questions in Stack Overflow

Stack Overflow is a popular online platform for program on various professional levels to ask and answer questions on a wide range of topics in computer programming. It has attracted lots of research on the analysis of user behaviors, especially those related to the asked questions. In this paper, we propose an approach for analyzing the correlation between the editing behaviors and the questions asked in Stack Overflow. The approach is particularly established on the foundation of the analysis of a series of editing operations that may exist between the questions and answers. The approach is applied to analyze real-life Stack Overflow data, and the experimental results demonstrate that the more edited questions are likely to get more answers. It is also found that the editing of the body part and the editing of the tag part will affect the quality of the final question.

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Publication Details

Journal
International Journal of Software Engineering and Knowledge Engineering
Published
2025-10-04
DOI
https://doi.org/10.1142/s0218194025500688
Primary Topic
Knowledge Management and Sharing
Type
article
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article

Analysis of the Relationship between Editing Behaviors and Questions in Stack Overflow

Yusi Chen, Huai Liu, Ruobing Li, Bo Yang
International Journal of Software Engineering and Knowledge Engineering
Knowledge Management and Sharing
article

Analysis of the Relationship between Editing Behaviors and Questions in Stack Overflow

Yusi Chen, Huai Liu, Ruobing Li, Bo Yang
article en

Abstract

Stack Overflow is a popular online platform for program on various professional levels to ask and answer questions on a wide range of topics in computer programming. It has attracted lots of research on the analysis of user behaviors, especially those related to the asked questions. In this paper, we propose an approach for analyzing the correlation between the editing behaviors and the questions asked in Stack Overflow. The approach is particularly established on the foundation of the analysis of a series of editing operations that may exist between the questions and answers. The approach is applied to analyze real-life Stack Overflow data, and the experimental results demonstrate that the more edited questions are likely to get more answers. It is also found that the editing of the body part and the editing of the tag part will affect the quality of the final question.

International Journal of Software Engineering and Knowledge EngineeringVol. 36(03)
North China University of Technology (CN), Hebei University of Technology (CN), Beijing Forestry University (CN), State Forestry and Grassland Administration (CN), Swinburne University of Technology (AU)
Openalex Percentile: Top 68%
Knowledge Management and Sharing
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Analysis of the Relationship between Editing Behaviors and Questions in Stack Overflow — Yusi Chen, Huai Liu, et al. · International Journal of Software Engineering and Knowledge Engineering (2025) | TGRS Research Map | TGRS