CLPS-MFL: Using Concept Lattice of Program Spectrum for Effective Multi-fault Localization

Xiaobing Sun, Bixin Li, Wanzhi Wen
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引用次数: 4

Abstract

Fault localization (FL) is an important but challenging task during software testing. Among techniques studied in this field, using program spectrum as a bug indicator is a promising approach. However, its effectiveness may be affected when multiple simultaneous faults are present. To alleviate this limitation, we propose a novel approach, CLPS-MFL, which combines concept lattice with program spectrum to localize multiple faults. Our approach first uses formal concept analysis to transform the obtained program spectrum into a concept lattice. Then, it uses three strategies to identify the failure root causes based on the properties of the concept lattice. Our empirical studies on three subject programs validate the effectiveness of the CLPS-MFL approach for localizing multiple faults.
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CLPS-MFL:基于程序谱概念格的多故障有效定位
故障定位是软件测试中的一项重要而又具有挑战性的任务。在该领域研究的技术中,利用程序谱作为bug指示器是一种很有前途的方法。然而,当多个故障同时存在时,其有效性可能会受到影响。为了解决这一问题,我们提出了一种新的CLPS-MFL方法,该方法结合了概念格和程序谱来定位多故障。我们的方法首先使用形式概念分析将得到的程序谱转换为概念格。然后,根据概念格的性质,采用三种策略识别故障根源。我们对三个主题项目的实证研究验证了CLPS-MFL方法在多故障定位方面的有效性。
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