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Empirical Software Engineering
Erschienen in: Empirical Software Engineering 5/2013

01.10.2013

Using structural and semantic measures to improve software modularization

verfasst von: Gabriele Bavota, Andrea De Lucia, Andrian Marcus, Rocco Oliveto

Erschienen in: Empirical Software Engineering | Ausgabe 5/2013

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Abstract

Changes during software evolution and poor design decisions often lead to packages that are hard to understand and maintain, because they usually group together classes with unrelated responsibilities. One way to improve such packages is to decompose them into smaller, more cohesive packages. The difficulty lies in the fact that most definitions and interpretations of cohesion are rather vague and the multitude of measures proposed by researchers usually capture only one aspect of cohesion. We propose a new technique for automatic re-modularization of packages, which uses structural and semantic measures to decompose a package into smaller, more cohesive ones. The paper presents the new approach as well as an empirical study, which evaluates the decompositions proposed by the new technique. The results of the evaluation indicate that the decomposed packages have better cohesion without a deterioration of coupling and the re-modularizations proposed by the tool are also meaningful from a functional point of view.
Vorheriger Artikel What your plug-in test suites really test: an integration perspective on test suite understanding
Nächster Artikel Integrating conceptual and logical couplings for change impact analysis in software

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Fußnoten
1
The method call are captured through static analysis of the source code.
 
3
The complete results achieved with all the possible combinations of parameters can be found in Bavota et al. (2011a).
 
4
The complete results achieved with the other systems can be found in Bavota et al. (2011a)
 
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Metadaten
Titel
Using structural and semantic measures to improve software modularization
verfasst von
Gabriele Bavota
Andrea De Lucia
Andrian Marcus
Rocco Oliveto
Publikationsdatum
01.10.2013
Verlag
Springer US
Erschienen in
Empirical Software Engineering / Ausgabe 5/2013
Print ISSN: 1382-3256
Elektronische ISSN: 1573-7616
DOI
https://doi.org/10.1007/s10664-012-9226-8

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