Applying machine learning to solve an estimation problem in software inspections

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2415 LNCS, Issue , 2002, Pages 516-521

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

^a Phase it Intelligent Solutions AG   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; DEFECTS; MACHINE LEARNING; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; SOFTWARE ENGINEERING;

BAYESIAN; DEFECT CONTENTS; DOCUMENT-BASED; ESTIMATION PROBLEM; PREDICTIVE PERFORMANCE; SOFTWARE INSPECTION; HEIDELBERG;

NEURAL NETWORKS; LEARNING SYSTEMS;

EID: 84902181061     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_84     Document Type: Conference Paper

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