Using machine learning for estimating the defect content after an inspection

IEEE Transactions on Software Engineering

Volumn 30, Issue 1, 2004, Pages 17-28

  Padberg, Frank ^a   Ragg, Thomas ^b   Schoknecht, Ralf ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b Quantiom Bioinformatics GmbH and Co KG   (Germany)

Author keywords

Defect content estimation; Empirical methods; Neural networks; Nonlinear regression; Software inspections

Indexed keywords

ALGORITHMS; COMPUTER SOFTWARE SELECTION AND EVALUATION; DATA STRUCTURES; ERROR DETECTION; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

DEFECT CONTENT; DOCUMENT; NONLINEAR REGRESSION; SOFTWARE INSPECTIONS;

LEARNING SYSTEMS;

EID: 0742321260     PISSN: 00985589     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSE.2004.1265733     Document Type: Article

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