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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/10223

Title: Software metrics evaluation based on entropy
???metadata.dc.creator???: Selvarani, R.
Nair, T. R. Gopalakrishnan
Ramachandran, Muthu
Prasad, Kamakhsi
Keywords: Object oriented paradigm
Object oriented metrics
Fault-proneness
Prediction
Defect
WMC
NOC
DIT
LCOM
CBO
RFC
Design
Entropy
Paradigma orientado a objeto
Métricas orientadas a objeto
Propensão a falhas
Predição
Defeito
Entropia
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Jun-2009
Citation: SELVARANI, R. et al. Software metrics evaluation based on entropy. INFOCOMP: Journal of Computer Science, Lavras, v. 8, n. 2, p. 20-28, June 2009.
Abstract: Software engineering activities in the Industry has come a long way with various improvements brought in various stages of the software development life cycle. The complexity of modern software, the commercial constraints and the expectation for high quality products demand the accurate fault prediction based on OO design metrics in the class level in the early stages of software development. The object oriented class metrics are used as quality predictors in the entire OO software development life cycle even when a highly iterative, incremental model or agile software process is employed. Recent research has shown some of the OO design metrics are useful for predicting fault-proneness of classes. In this paper the empirical validation of a set of metrics proposed by Chidamber and Kemerer is performed to assess their ability in predicting the software quality in terms of fault proneness and degradation. We have also proposed the design complexity of object-oriented software with Weighted Methods per Class metric (WMC-CK metric) expressed in terms of Shannon entropy, and error proneness.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/257
???metadata.dc.language???: eng
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