A memory-based reasoning approach for assessing software quality

R. Paul, Venkata U. B. Challagulla, F. Bastani, I. Yen
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引用次数: 2

Abstract

Several methods have been explored for assuring the reliability of mission critical systems (MCS), but no single method has proved to be completely effective. This paper presents an approach for quantifying the confidence in the probability that a program is free of specific classes of defects. The method uses memory-based reasoning techniques to admit a variety of data from a variety of projects for the purpose of assessing new systems. Once a sufficient amount of information has been collected, the statistical results can be applied to programs that are not in the analysis set to predict their reliabilities and guide the testing process. The approach is applied to the analysis of Y2K defects based on defect data generated using fault-injection simulation.
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用于评估软件质量的基于记忆的推理方法
为了保证关键任务系统(MCS)的可靠性,人们已经探索了几种方法,但没有一种方法被证明是完全有效的。本文提出了一种量化程序不存在特定种类缺陷的概率置信度的方法。该方法使用基于记忆的推理技术来承认来自各种项目的各种数据,以评估新系统。一旦收集了足够数量的信息,统计结果可以应用于不在分析集中的程序,以预测其可靠性并指导测试过程。将该方法应用于基于故障注入模拟生成的缺陷数据的Y2K缺陷分析。
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