Exploratory study of a UML metric for fault prediction

Proceedings - International Conference on Software Engineering

Volumn 2, Issue , 2010, Pages 361-364

  Camargo Cruz, Ana Erika ^a  

^a JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

CK metrics; fault prone code; fault proneness prediction; logistic regression; UML

Indexed keywords

CODE METRICS; EXPLORATORY STUDIES; FAULT PREDICTION; FAULT-PRONE; FAULT-PRONENESS PREDICTION; LINEAR SCALING; LOGISTIC REGRESSIONS; PREDICTION MODEL;

COMPUTER SOFTWARE; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

FORECASTING;

EID: 77954755255     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1810295.1810393     Document Type: Conference Paper

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