Using search-based metric selection and oversampling to predict fault prone modules

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2010, Pages

  Vivanco, R ^a   Kamei, Y ^b   Monden, A ^b   Matsumoto, K ^b   Jin, D ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

^b NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Dataset oversampling; Genetic algorithm; Software quality models; Source code metrics

Indexed keywords

DATA SETS; EMPIRICAL SOFTWARE ENGINEERING; FAULT-PRONE MODULES; IN-BUILDINGS; OVER SAMPLING; PREDICTIVE MODELS; PREDICTIVE PERFORMANCE; SEARCH-BASED; SOFTWARE QUALITY MODELS; SOURCE CODES; STRUCTURAL MEASURES; SUBSET SELECTION;

FAULT DETECTION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; MODELS; NASA; PREDICTIVE CONTROL SYSTEMS; SOFTWARE ENGINEERING;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 78049348524     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2010.5575249     Document Type: Conference Paper

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