Enhancing SZZ with Context Awareness to Address the Ghost Fix Problem

• Item type: SIG Technical Reports(1)
• 公開日: 2024-07-18
• タイトル: Enhancing SZZ with Context Awareness to Address the Ghost Fix Problem
• タイトル / 言語: en
• タイトル: Enhancing SZZ with Context Awareness to Address the Ghost Fix Problem
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Kyushu University
• 著者所属: Kyushu University
• 著者所属: Waseda University
• 著者所属: Kyushu University
• 著者所属(英): en
• 著者所属(英): Kyushu University
• 著者所属(英): en
• 著者所属(英): Kyushu University
• 著者所属(英): en
• 著者所属(英): Waseda University
• 著者所属(英): en
• 著者所属(英): Kyushu University
• 著者名: Zhongren, Xiong; Masanari, Kondo; Naoyasu, Ubayashi; Yasutaka, Kamei
• 著者名(英): Zhongren, Xiong; Masanari, Kondo; Naoyasu, Ubayashi; Yasutaka, Kamei
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: SZZ is a technique for identifying bug-introducing changes from bug-fixing changes, and is widely used in software engineering. However, there are some bug-fixing patterns that SZZ cannot handle. Specifically, fixing bugs by simply adding lines of code is a major pattern that SZZ cannot deal with. We call this type of problem a ghost fix problem. Despite the presence of studies aiming to address the ghost fix problem, they still have limitations. In this paper, we introduce the concept of context-aware SZZ to address the ghost fix problem. We also propose the context-localization algorithm (CL-algorithm) as an implementation of context-aware SZZ. Finally, we demonstrate its performance through discussion and experiments.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: SZZ is a technique for identifying bug-introducing changes from bug-fixing changes, and is widely used in software engineering. However, there are some bug-fixing patterns that SZZ cannot handle. Specifically, fixing bugs by simply adding lines of code is a major pattern that SZZ cannot deal with. We call this type of problem a ghost fix problem. Despite the presence of studies aiming to address the ghost fix problem, they still have limitations. In this paper, we introduce the concept of context-aware SZZ to address the ghost fix problem. We also propose the context-localization algorithm (CL-algorithm) as an implementation of context-aware SZZ. Finally, we demonstrate its performance through discussion and experiments.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN10112981
• 書誌情報: 研究報告ソフトウェア工学（SE）; 巻 2024-SE-217, 号 5, p. 1-8, 発行日 2024-07-18
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8825
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会