Comparative analysis of regression and machine learning methods for predicting fault proneness models

International Journal of Computer Applications in Technology

Volumn 35, Issue 2-4, 2009, Pages 183-193

  Singh, Yogesh ^a   Kaur, Arvinder ^a   Malhotra, Ruchika ^a  

^a GURU GOBIND SINGH INDRAPRASTHA UNIVERSITY   (India)

Author keywords

Decision tree; Logistic regression; Metrics; Receiver operating characteristics curve; Software quality; Support vector machine

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; COMPUTERIZED TOMOGRAPHY; DECISION TREES; LEARNING ALGORITHMS; MACHINE LEARNING; NEURAL NETWORKS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; SYSTEMS ANALYSIS;

AREA UNDER THE ROC CURVE; LOGISTIC REGRESSIONS; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; METRICS; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; RECEIVER OPERATING CHARACTERISTICS; SOFTWARE QUALITY;

OBJECT ORIENTED PROGRAMMING;

EID: 67650330214     PISSN: 09528091     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJCAT.2009.026595     Document Type: Article

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