DocumentCode
3406962
Title
Do software categories impact coupling metrics?
Author
Batista Leite de Souza, Lucas ; de Almeida Maia, Marcelo
Author_Institution
Comput. Sci. Dept., Fed. Univ. of Uberlandia, Uberlandia, Brazil
fYear
2013
fDate
18-19 May 2013
Firstpage
217
Lastpage
220
Abstract
Software metrics is a valuable mechanism to assess the quality of software systems. Metrics can help the automated analysis of the growing data available in software repositories. Coupling metrics is a kind of software metrics that have been extensively used since the seventies to evaluate several software properties related to maintenance, evolution and reuse tasks. For example, several works have shown that we can use coupling metrics to assess the reusability of software artifacts available in repositories. However, thresholds for software metrics to indicate adequate coupling levels are still a matter of discussion. In this paper, we investigate the impact of software categories on the coupling level of software systems. We have found that different categories may have different levels of coupling, suggesting that we need special attention when comparing software systems in different categories and when using predefined thresholds already available in the literature.
Keywords
software maintenance; software metrics; software quality; software reusability; coupling metrics; evolution tasks; maintenance tasks; reuse tasks; software artifact reusability; software categories; software metrics; software systems quality; Business; Couplings; Games; Java; Software; Software metrics; Java; Software categories; coupling metrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on
Conference_Location
San Francisco, CA
ISSN
2160-1852
Print_ISBN
978-1-4799-0345-0
Type
conf
DOI
10.1109/MSR.2013.6624030
Filename
6624030
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