软件缺陷预测模型间的比较实验:问题、进展与挑战
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国家自然科学基金(62172205);江苏省研究生科研与实践创新计划项目(KYCX22_0153)


Comparing Software Defect Prediction Models: Research Problem, Progress, and Challenges
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    摘要:

    近年来研究者提出了大量的软件缺陷预测模型,新模型往往通过与过往模型进行比较实验来表明其有效性.然而,研究者在设计新旧模型间的比较实验时并没有达成共识,不同的工作往往采用不完全一致的比较实验设置,这可能致使在对比模型时得到误导性结论,最终错失提升缺陷预测能力的机会.本文对近年来国内外学者所做的缺陷预测模型间的比较实验进行系统性的总结.首先,阐述缺陷预测模型间的比较实验的研究问题.然后,分别从缺陷数据集、数据集划分、基线模型、性能指标、分类阈值五个方面对现有的比较实验进行总结.最后,指出目前在进行缺陷预测模型间比较实验时面临的挑战并给出建议的研究方向.

    Abstract:

    In recent years, a large number of software defect prediction models have been proposed. Once a new defect prediction model is proposed, it is often compared with previous defect prediction models to evaluate its effectiveness. However, there is no consensus on how to compare the newly proposed defect prediction model with previous defect prediction models. Different studies often adopt different settings for comparison, which may lead to misleading conclusions in the comparisons of prediction models, and consequently lead to missing the opportunity to improve the effectiveness of defect prediction. This paper systematically reviews the comparative experiments of software defect prediction models conducted by domestic and foreign scholars in recent years. First, we introduce the comparisons of defect prediction models. Then, the research progress is summarized from the perspectives of defect dataset, dataset split, baseline models, performance indicators, and classification thresholds, respectively, in the comparisons. Finally, we summarize the opportunities and challenges in comparative experiments of defect prediction models and outline the research directions in the future.

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刘旭同,郭肇强,刘释然,张鹏,卢红敏,周毓明.软件缺陷预测模型间的比较实验:问题、进展与挑战.软件学报,,():0

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历史
  • 收稿日期:2021-09-16
  • 最后修改日期:2022-03-11
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  • 在线发布日期: 2022-07-22
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