RECODE: SOFTWARE PACKAGE REFACTORING VIA COMMUNITY DETECTION IN BIPARTITE SOFTWARE NETWORKS

Weifeng Pan (), Bing Li (), Bo Jiang () and Kun Liu ()
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Weifeng Pan: School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China
Bing Li: State Key Laboratory of Software Engineering, Wuhan University, Wuhan, Hubei 430072, China
Bo Jiang: School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China
Kun Liu: Department of Information Management, Hubei University of Economics, Wuhan, Hubei 430072, China

Advances in Complex Systems (ACS), 2014, vol. 17, issue 07n08, 1-27

Abstract: It is an intrinsic property of real-world software to evolve, which is usually accompanied by the increase of software complexity and deterioration of software quality. So successful software has to be reconditioned from time to time. Though many refactoring approaches have been proposed, only a few of them are performed at the package level. In this paper, we present a novel approach to refactor the package structure of object-oriented (OO) software. It uses weighted bipartite software networks to represent classes, packages, and their dependencies; it proposes a guidance community detection algorithm (GUIDA) to obtain the optimized package structure; and it finally provides a list of classes as refactoring candidates by comparing the optimized package structure with the real package structure. Through a set of experiments we have shown that the proposed approach is able to identify a majority of classes that experts recognize as refactoring candidates, and the benefits of our approach are illustrated in comparison with other two approaches.

Keywords: Refactoring; community detection; software network; complex network; package; object-oriented design (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219525914500064

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