A Weighted PageRank-Based Bug Report Summarization Method Using Bug Report Relationships

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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.
Publisher
MDPI
Issue Date
2019-12
Language
English
Article Type
Article
Citation

APPLIED SCIENCES-BASEL, v.9, no.24

ISSN
2076-3417
DOI
10.3390/app9245427
URI
http://hdl.handle.net/10203/273861
Appears in Collection
CS-Journal Papers(저널논문)
Files in This Item
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