Empirical analysis of object-oriented coupling and cohesion measures in determining the quality of open source systems
Design metrics play an important role to help developers understand the software design aspects which later can be used to improve software quality. This paper provides empirical evidence supporting the roles of object-oriented (OO) coupling and cohesion metrics, using a subset of Chidamber and...
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/16006/1/EMPIRICAL_ANALYSIS_OF_OBJECT-_ORIENTED_COUPLING_AND_COHESION_MEASURES_IN_DETERMINING_THE_QUALITY_OF_OPEN_SOURCE_SYSTEMS.pdf http://irep.iium.edu.my/16006/ http://www.iasted.org/conferences/pastinfo-758.html |
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| Summary: | Design metrics play an important role to help developers
understand the software design aspects which later can be
used to improve software quality. This paper provides
empirical evidence supporting the roles of object-oriented
(OO) coupling and cohesion metrics, using a subset of
Chidamber and Kemerer OO metrics suite, in predicting
the post-delivery defects. The findings, based on various
open source systems developed in Java, indicate that, a
coupling measure, Coupling between object classes
(CBO) is very highly significant in predicting defects
while Lack of cohesion metric (LCOM), as a cohesion
measure is not significant. Even after controlling for size,
CBO metric is still significant as a predictor for postdelivery
defects. |
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