A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
Proceedings of the Conference on The Future of Software Engineering
The prediction of faulty classes using object-oriented design metrics
Journal of Systems and Software
Requirement-Based Automated Black-Box Test Generation
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
Analyzing Software Measurement Data with Clustering Techniques
IEEE Intelligent Systems
Reliability and Validity in Comparative Studies of Software Prediction Models
IEEE Transactions on Software Engineering
An empirical study of predicting software faults with case-based reasoning
Software Quality Control
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Since the inception of software project management, the quality of a software project is always a priority. Defects in a software development project lead to degradation of the quality which might be the cause of its failure. In order to predict the defects in a software development project we propose a Bayesian Network based approach. It is developed by using project repositories which store software metrics and defect information. In this approach we combine subjective judgements from experienced project managers and available defect rate data to produce a network and use this to forecast and hence control defect rates.