publication . Article . Other literature type . 2007

Object-oriented software fault prediction using neural networks

Kanmani, S.; Uthariaraj, V. Rhymend; Sankaranarayanan, V.; Thambidurai, P.;
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  • Published: 01 May 2007 Journal: Information and Software Technology, volume 49, pages 483-492 (issn: 0950-5849, Copyright policy)
  • Publisher: Elsevier BV
Abstract
This paper introduces two neural network based software fault prediction models using Object-Oriented metrics. They are empirically validated using a data set collected from the software modules developed by the graduate students of our academic institution. The results are compared with two statistical models using five quality attributes and found that neural networks do better. Among the two neural networks, Probabilistic Neural Networks outperform in predicting the fault proneness of the Object-Oriented modules developed.
Subjects
free text keywords: Software, Information Systems, Computer Science Applications, Predictive modelling, Artificial neural network, Computer science, Object-oriented programming, Machine learning, computer.software_genre, computer, Data mining, Artificial intelligence, business.industry, business, Probabilistic logic, Linear discriminant analysis, Statistical model, Software fault, Probabilistic neural network
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publication . Article . Other literature type . 2007

Object-oriented software fault prediction using neural networks

Kanmani, S.; Uthariaraj, V. Rhymend; Sankaranarayanan, V.; Thambidurai, P.;