Comparing software fault predictions of pure and zero-inflated Poisson regression models

International Journal of Systems Science

Volumn 36, Issue 11, 2005, Pages 705-715

  Khoshgoftaar, Taghi M ^a,d,e,f,g   Gao, Kehan ^c,f,g   Szabo, Robert M ^b,d,g,h  

^a Florida Atlantic Univ   (United States)

^b IBM   (United States)

^c EASTERN CONNECTICUT STATE UNIVERSITY   (United States)

^d FLORIDA ATLANTIC UNIVERSITY   (United States)

^e Empirical Software Eng Laboratory   (United States)

^f ASSOCIATION FOR COMPUTING MACHINERY   (United States)

^g IEEE   (United States)

^h JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Comparative hypothesis test; Performance metrics; Poisson regression; Software quality estimation; Zero inflated Poisson regression

Indexed keywords

COMPARATIVE HYPOTHESIS TEST; PERFORMANCE METRICS; POISSON REGRESSION; SOFTWARE QUALITY ESTIMATION; ZERO-INFLATED POISSON REGRESSION;

FAULT TOLERANT COMPUTER SYSTEMS; MATHEMATICAL MODELS; POISSON DISTRIBUTION; REGRESSION ANALYSIS; RELIABILITY; ROBUSTNESS (CONTROL SYSTEMS);

COMPUTER SOFTWARE;

EID: 29344465787     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207720500159995     Document Type: Article

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