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Libo Li

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  1. Evaluating software defect prediction performance: an updated benchmarking study

    2019 · arXiv (Cornell University)

    Accurately predicting faulty software units helps practitioners target faulty units and prioritize their efforts to maintain software quality. Prior studies use machine-learning models to detect faulty software code. We revisit past studies and point out …