A bayesian approach for the detection of code and design smells

Proceedings - International Conference on Quality Software

Volumn , Issue , 2009, Pages 305-314

  Khomh, Foutse ^a,b   Vaucher, Stéephane ^b   Guéehéeneuc, Yann Gaël ^a   Sahraoui, Houari ^b  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^b Universitée de Montréeal ^*  (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; DETECTION PROCESS; DETECTION RULES; MACHINE LEARNING TECHNIQUES; OPEN-SOURCE PROGRAM; PROBABILISTIC MODELS; SYSTEMATIC PROCESS;

COMPUTER SOFTWARE; DESIGN; LEARNING ALGORITHMS; ODORS;

BAYESIAN NETWORKS;

EID: 77950599865     PISSN: 15506002     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/QSIC.2009.47     Document Type: Conference Paper

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