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Reconstruction of an execution architecture view by identifying mapping rules for connectors

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dc.contributor.authorAhn, Hwi-
dc.contributor.authorKang, Sungwon-
dc.contributor.authorLee, Seonah-
dc.date.accessioned2024-12-03T08:00:43Z-
dc.date.available2024-12-03T08:00:43Z-
dc.date.issued2025-02-
dc.identifier.issn0164-1212-
dc.identifier.issn1873-1228-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/74735-
dc.description.abstractAn execution architecture view plays a crucial role in depicting the structure of a software system at runtime and analyzing its execution aspects, such as concurrency and performance. However, such execution views are frequently missing in real-world practices. Therefore, researchers have endeavored to reconstruct execution architecture views from software systems. However, existing approaches either require domain experts’ knowledge or are applicable only to systems with particular architecture styles. In this paper, we propose a systematic approach to reconstructing an execution architecture view, without prior knowledge of the components and connectors in the target system. With the proposed approach, by defining a candidate set of execution view connectors and mapping rules from source code to execution view connectors, developers can reconstruct an execution view. To evaluate the proposed approach, we applied it to three real-world software systems. Our evaluation results show that the proposed approach reconstructs an execution architecture with a higher than 86 % F1-score and less than 13.9 person-hours. © 2024-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleReconstruction of an execution architecture view by identifying mapping rules for connectors-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.jss.2024.112268-
dc.identifier.scopusid2-s2.0-85208187452-
dc.identifier.wosid001353958100001-
dc.identifier.bibliographicCitationJournal of Systems and Software, v.220-
dc.citation.titleJournal of Systems and Software-
dc.citation.volume220-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordAuthorArchitecture connector-
dc.subject.keywordAuthorExecution architecture-
dc.subject.keywordAuthorSoftware architecture reconstruction-
dc.subject.keywordAuthorSoftware engineering-
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IT공과대학 (소프트웨어공학과)
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