Two-Phase Assessment Approach to Improve the Efficiency of Refactoring Identification
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Ah-Rim | - |
dc.contributor.author | Cha, Sungdeok | - |
dc.date.accessioned | 2021-09-02T05:32:27Z | - |
dc.date.available | 2021-09-02T05:32:27Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2018-10 | - |
dc.identifier.issn | 0098-5589 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/72648 | - |
dc.description.abstract | To automate the refactoring identification process, a large number of candidates need to be compared. Such an overhead can make the refactoring approach impractical if the software size is large and the computational load of a fitness function is substantial. In this paper, we propose a two-phase assessment approach to improving the efficiency of the process. For each iteration of the refactoring process, refactoring candidates are preliminarily assessed using a lightweight, fast delta assessment method called the Delta Table. Using multiple Delta Tables, candidates to be evaluated with a fitness function are selected. A refactoring can be selected either interactively by the developer or automatically by choosing the best refactoring, and the refactorings are applied one after another in a stepwise fashion. The Delta Table is the key concept enabling a two-phase assessment approach because of its ability to quickly calculate the varying amounts of maintainability provided by each refactoring candidate. Our approach has been evaluated for three large-scale open-source projects. The results convincingly show that the proposed approach is efficient because it saves a considerable time while still achieving the same amount of fitness improvement as the approach examining all possible candidates. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.subject | OPPORTUNITIES | - |
dc.subject | OPTIMIZATION | - |
dc.subject | METRICS | - |
dc.title | Two-Phase Assessment Approach to Improve the Efficiency of Refactoring Identification | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cha, Sungdeok | - |
dc.identifier.doi | 10.1109/TSE.2017.2731853 | - |
dc.identifier.scopusid | 2-s2.0-85028943370 | - |
dc.identifier.wosid | 000447803400005 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, v.44, no.10, pp.1001 - 1023 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON SOFTWARE ENGINEERING | - |
dc.citation.title | IEEE TRANSACTIONS ON SOFTWARE ENGINEERING | - |
dc.citation.volume | 44 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 1001 | - |
dc.citation.endPage | 1023 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | OPPORTUNITIES | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | METRICS | - |
dc.subject.keywordAuthor | Refactoring assessment | - |
dc.subject.keywordAuthor | refactoring identification | - |
dc.subject.keywordAuthor | maintainability improvement | - |
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