A Useful Resource for Defect Prediction Models

Ragneala, Roxana

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A Useful Resource for Defect Prediction Models

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Ragneala, Roxana
International Max Planck Research School, MPI for Informatics, Max Planck Society;

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Ragneala, R. (2009). A Useful Resource for Defect Prediction Models. Master Thesis, Universität des Saarlandes, Saarbrücken.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0027-BA8D-E

Abstract

Predicting likely software defects in the future is valuable for project managers when planning resource allocation for software testing. But building prediction models using only code metrics may not be suffice for accurate results. In this work, we investigate the value of code history metrics that can be collected from the project's version archives for the purpose of defect prediction. Our results suggest that prediction models built using code history metrics outperform those using traditional code metrics only.