Presentation 2008-03-03
Quality prediction model for object oriented software using UML metrics
CRUZ ANA ERIKA CAMARGO, KOICHIRO OCHIMIZU,
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Abstract(in English) Several studies, in the field of object-oriented software quality, have been performed to define models for predicting fault-prone code. However, their predictions take place after the implementation phase, using design-complexity metrics measured from the code. The primary aim of this paper is to provide the foundations for building a model, that predicts fault-prone code in the early phases of the life cycle of the software, using UML metrics. We found that some UML metrics, approximations of traditional design-complexity metrics, can bew acceptable predictors of fault-proneness, as they showed similar performance to the performance of those metrics measured from the implementation.
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Keyword(in English) software quality / fault-proneness prediction / object-oriented design metrics / UML metrics
Paper # SS2007-64
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Committee SS
Conference Date 2008/2/25(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Quality prediction model for object oriented software using UML metrics
Sub Title (in English)
Keyword(1) software quality
Keyword(2) fault-proneness prediction
Keyword(3) object-oriented design metrics
Keyword(4) UML metrics
1st Author's Name CRUZ ANA ERIKA CAMARGO
1st Author's Affiliation Japan Advanced Institute of Science and Technology, School of Information Science()
2nd Author's Name KOICHIRO OCHIMIZU
2nd Author's Affiliation Japan Advanced Institute of Science and Technology, School of Information Science
Date 2008-03-03
Paper # SS2007-64
Volume (vol) vol.107
Number (no) 505
Page pp.pp.-
#Pages 6
Date of Issue