Predicting software fault proneness model using neural network

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

Volumn 5089 LNCS, Issue , 2008, Pages 204-214

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

^a GURU GOBIND SINGH INDRAPRASTHA UNIVERSITY   (India)

Author keywords

Artificial neural network; Empirical validation; Metrics; Software quality

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; ELECTRIC REACTORS; FOOD PROCESSING; FORECASTING; IMAGE CLASSIFICATION; MATERIALS HANDLING; NASA; NEURAL NETWORKS;

ANN MODELING; ARTIFICIAL INTELLIGENCE TECHNIQUES; ARTIFICIAL NEURAL NETWORK; DATA SETS; EMPIRICAL VALIDATION; FAULT PRONENESS; FAULT-PRONE; INTERNATIONAL CONFERENCES; LOGISTIC REGRESSION; METRICS; PUBLIC DOMAINS; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; ROC CURVES; SOFTWARE FAULTS; SOFTWARE METRICS; SOFTWARE PROCESS IMPROVEMENT; SOFTWARE QUALITY; SOFTWARE QUALITY ATTRIBUTES; SOFTWARE QUALITY MODELING;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 48249127895     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69566-0_18     Document Type: Conference Paper

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