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It is widely known that a small number of modules in any system are likely to contain the majority of faults. Early identification and consequent attention to such modules may mitigate or prevent many defects. The objective of this study is to use product metrics to build a prediction model of the number of change requests (CRs) that are likely to occur in individual modules during testing. The study first empirically validates eight product metrics, while considering the confounding effects ofdoi:10.1016/s0164-1212(03)00091-8 fatcat:mjlxfyyfznamljpnnvsfo6lkmy