Software defect prediction using semi-supervised learning with dimension reduction

2012 27th IEEE/ACM International Conference on Automated Software Engineering, ASE 2012 - Proceedings

Volumn , Issue , 2012, Pages 314-317

  Lu, Huihua ^a   Cukic, Bojan ^a   Culp, Mark ^b  

^a West Virginia University   (United States)

^b WEST VIRGINIA UNIVERSITY   (United States)

Author keywords

Dimension reduction; Semi supervised learning; Software fault prediction; Software metrics

Indexed keywords

DIMENSION REDUCTION; DIMENSIONAL COMPLEXITY; FAULT-PRONE MODULES; HIGH-QUALITY SOFTWARE; MODEL TRAINING; MULTI-DIMENSIONAL SCALING; NON ESSENTIAL; QUALITY MODELING; RANDOM FORESTS; SEMI-SUPERVISED LEARNING; SOFTWARE DEFECT PREDICTION; SOFTWARE FAULT PREDICTION; SOFTWARE METRICS; SOFTWARE MODULES;

COMPUTER SOFTWARE; DECISION TREES; LEARNING ALGORITHMS;

SUPERVISED LEARNING;

EID: 84866952457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2351676.2351734     Document Type: Conference Paper

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