A Weighted PageRank-Based Bug Report Summarization Method Using Bug Report Relationships
Source abstract
Abstract
For software maintenance, bug reports provide useful information to developers because they can be used for various tasks such as debugging and understanding previous changes. However, as they are typically written in the form of conversations among developers, bug reports tend to be unnecessarily long and verbose, with the consequence that developers often have difficulties reading or understanding bug reports. To mitigate this problem, methods that automatically generate a summary of bug reports have been proposed, and various related studies have been conducted. However, existing bug report summarization methods have not fully exploited the inherent characteristics of bug reports. In this paper, we propose a bug report summarization method that uses the weighted-PageRank algorithm and exploits the 'duplicates’, ‘blocks’, and ‘depends-on’ relationships between bug reports. The experimental results show that our method outperforms the state-of-the-art method in terms of both the quality of the summary and the number of applicable bug reports.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Software Engineering Research · Web Data Mining and Analysis · Software Testing and Debugging Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Computing, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
Department of Aerospace and Software Engineering, Gyeongsang National University, 501 Jinju-daero, Jinju City, Gyeongsang-namdo 52828, Korea
Department of of Informatics, Gyeongsang National University, 501 Jinju-daero, Jinju City, Gyeongsang-namdo 52828, Korea
Funding
National Research Foundation of Korea
References (18)
Show source-provided references
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