Predicting defect densities in source code files with decision tree learners

Proceedings - International Conference on Software Engineering

Volumn , Issue , 2006, Pages 119-125

  Knab, Patrick ^a   Pinzger, Martin ^a   Bernstein, Abraham ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

data mining; decision tree learner; defect prediction

Indexed keywords

CURRENT DATA; DEFECT PREDICTION; INPUT DATAS; MACHINE-LEARNING; MOZILLA; NEURAL NET; OPEN SOURCE SOFTWARE; OPEN SOURCES; SOFTWARE ENTITIES; SOURCE CODES; SOURCE FILES;

DATA MINING; DECISION TREES; DEFECTS; EXPERIMENTS; FORECASTING; INFORMATION DISSEMINATION; LEARNING SYSTEMS; OPEN SYSTEMS; SOFTWARE ENGINEERING; WEB BROWSERS;

DEFECT DENSITY;

EID: 77949343227     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1137983.1138012     Document Type: Conference Paper

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