Constructing Object Groups Corresponding to Concepts for Recovery of a Summarized Sequence Diagram

• Item type: Journal(1)
• 公開日: 2021-04-15
• タイトル: Constructing Object Groups Corresponding to Concepts for Recovery of a Summarized Sequence Diagram
• タイトル / 言語: en
• タイトル: Constructing Object Groups Corresponding to Concepts for Recovery of a Summarized Sequence Diagram
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文] reverse-engineered sequence diagram, trace summarization, object grouping, meta patterns, program comprehension
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Tokyo Institute of Technology
• 著者所属: Tokyo Institute of Technology
• 著者所属: Advanced Science, Technology & Management Research Institute of KYOTO
• 著者所属(英): en
• 著者所属(英): Tokyo Institute of Technology
• 著者所属(英): en
• 著者所属(英): Tokyo Institute of Technology
• 著者所属(英): en
• 著者所属(英): Advanced Science, Technology & Management Research Institute of KYOTO
• 著者名: Kunihiro, Noda; Takashi, Kobayashi; Kiyoshi, Agusa
• 著者名(英): Kunihiro, Noda; Takashi, Kobayashi; Kiyoshi, Agusa
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Comprehending the behavior of an object-oriented system solely from its source code is troublesome owing to its dynamism. To aid comprehension, visualizing program behavior through reverse-engineered sequence diagrams from execution traces is a promising approach. However, because of the massiveness of traces, recovered diagrams tend to become very large causing scalability issues. To address these issues, we propose an object grouping technique that horizontally summarizes a reverse-engineered sequence diagram. Our technique constructs object groups based on Pree's meta patterns in which each group corresponds to a concept in the domain of a subject system. By visualizing interactions only among important groups, we generate a summarized sequence diagram depicting a behavioral overview of the system. Our experiment showed that our technique outperformed the state-of-the-art trace summarization technique in terms of reducing the horizontal size of reverse-engineered sequence diagrams. Regarding the quality of object grouping, our technique achieved an F-score of 0.670 and a Recall of 0.793 on average under the condition of #lifelines (i.e., the horizontal size of a sequence diagram) < 30, whereas those of the state-of-the-art technique were 0.421 and 0.670, respectively. The runtime overhead imposed by our technique was 129.2% on average, which is relatively smaller than other figures found in the reference literature.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.29(2021) (online); DOI http://dx.doi.org/10.2197/ipsjjip.29.305; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Comprehending the behavior of an object-oriented system solely from its source code is troublesome owing to its dynamism. To aid comprehension, visualizing program behavior through reverse-engineered sequence diagrams from execution traces is a promising approach. However, because of the massiveness of traces, recovered diagrams tend to become very large causing scalability issues. To address these issues, we propose an object grouping technique that horizontally summarizes a reverse-engineered sequence diagram. Our technique constructs object groups based on Pree's meta patterns in which each group corresponds to a concept in the domain of a subject system. By visualizing interactions only among important groups, we generate a summarized sequence diagram depicting a behavioral overview of the system. Our experiment showed that our technique outperformed the state-of-the-art trace summarization technique in terms of reducing the horizontal size of reverse-engineered sequence diagrams. Regarding the quality of object grouping, our technique achieved an F-score of 0.670 and a Recall of 0.793 on average under the condition of #lifelines (i.e., the horizontal size of a sequence diagram) < 30, whereas those of the state-of-the-art technique were 0.421 and 0.670, respectively. The runtime overhead imposed by our technique was 129.2% on average, which is relatively smaller than other figures found in the reference literature.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.29(2021) (online); DOI http://dx.doi.org/10.2197/ipsjjip.29.305; ------------------------------
• 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: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 62, 号 4, 発行日 2021-04-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764