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A critique of software defect prediction models
1999
IEEE Transactions on Software Engineering
Many organizations want to predict the number of defects (faults) in software systems, before they are deployed, to gauge the likely delivered quality and maintenance effort. To help in this, numerous software metrics and statistical models have been developed, with a correspondingly large literature. We provide a critical review of this literature and the state-of-the-art. Most of the wide range of prediction models use size and complexity metrics to predict defects. Others are based on
doi:10.1109/32.815326
fatcat:xp7sjmgfirhfphoduy54u7u75u