Using Developer Information as a Factor for Fault Prediction

• Published in: International Conference on Software Engineering: Proceedings of the Third International Workshop on Predictor Models in Software Engineering; 20-26 May 2007 p. 8
• Main Authors: Weyuker, Elaine J., Ostrand, Thomas J., Bell, Robert M.
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 20.05.2007; IEEE
• Series: ACM Conferences
• Subjects: Accuracy; Computer industry; Computing methodologies > Modeling and simulation > Model development and analysis; Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation; Costs; Data mining; Fault diagnosis; Job shop scheduling; Predictive models; Software and its engineering > Software creation and management > Collaboration in software development > Programming teams; Software and its engineering > Software creation and management > Software verification and validation > Formal software verification; Software and its engineering > Software organization and properties > Software functional properties > Formal methods; Software systems; Software testing; System testing; Theory of computation > Semantics and reasoning > Program reasoning > Program verification
• ISBN: 9780769529547; 0769529542
• DOI: 10.1109/PROMISE.2007.14

We have been investigating different prediction models to identify which files of a large multi-release industrial software system are most likely to contain the largest numbers of faults in the next release. To make predictions we considered a number of different file characteristics and change information about the files, and have built fully-automatable models that do not require that the user have any statistical expertise. We now consider the effect of adding developer information as a prediction factor and assess the extent to which this affects the quality of the predictions.