Mining software repository to identify crosscutting concerns using combined techniques
dc.contributor.author | Marçal, Ingrid [UNESP] | |
dc.contributor.author | Garcia, Rogério Eduardo [UNESP] | |
dc.contributor.author | Correia, Ronaldo C. M. [UNESP] | |
dc.contributor.author | Olivete, Celso [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.date.accessioned | 2022-04-29T07:26:22Z | |
dc.date.available | 2022-04-29T07:26:22Z | |
dc.date.issued | 2013-01-01 | |
dc.description.abstract | Modularization is a goal difficult to achieve in software development. Aspect mining aims to identify crosscutting concerns in non aspect oriented software allowing organizing them into aspects and, thus, improve the modularization. Several techniques have been proposed to identify crosscutting concerns from software repositories, usually by analyzing static data or execution traces. In this paper we present an approach on mining crosscutting concerns using combined results from two techniques: Frequent Closed Itemset Mining and Commit Frequency Analysis, which is presented in this paper as well. We evaluated our approach and observed that combining both techniques lead to better sets of crosscutting concerns candidates. | en |
dc.description.affiliation | Departamento de Matemática E Computação, Faculdade de Ciências E Tecnologia, Universidade Estadual Paulista Júlio de Mesquita Filho - UNESP | |
dc.description.affiliationUnesp | Departamento de Matemática E Computação, Faculdade de Ciências E Tecnologia, Universidade Estadual Paulista Júlio de Mesquita Filho - UNESP | |
dc.format.extent | 338-343 | |
dc.identifier.citation | Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, v. 2013-January, n. January, p. 338-343, 2013. | |
dc.identifier.issn | 2325-9086 | |
dc.identifier.issn | 2325-9000 | |
dc.identifier.scopus | 2-s2.0-84937700496 | |
dc.identifier.uri | http://hdl.handle.net/11449/228022 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE | |
dc.source | Scopus | |
dc.subject | Aspect mining | |
dc.subject | Code evolution | |
dc.subject | Mining software repositories | |
dc.subject | Software maintenance | |
dc.title | Mining software repository to identify crosscutting concerns using combined techniques | en |
dc.type | Trabalho apresentado em evento | |
dspace.entity.type | Publication | |
unesp.department | Matemática e Computação - FCT | pt |