利用概率和分组方法进行有效的故障定位

IF 1.6 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal of System Assurance Engineering and Management Pub Date : 2024-08-18 DOI:10.1007/s13198-024-02479-5
Saksham Sahai Srivastava, Arpita Dutta, Rajib Mall
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引用次数: 0

摘要

故障定位(FL)是调试程序的关键活动。对这项工作的任何改进都会显著提高软件开发的总成本。在本文中,我们提出了一种基于条件概率统计的故障定位技术,该技术可以推导出语句覆盖信息与测试用例执行结果之间的关联。这种与失败测试用例结果之间的关联显示了特定语句包含故障的概率。随后,我们使用分组方法对获得的语句排序序列进行细化,以更好地进行故障定位。我们将所提出的故障定位技术命名为 CGFL,它是基于条件概率和分组的故障定位技术的缩写。我们在 Defects4j 和 SIR 存储库中的 11 个开源数据集上评估了所提方法的有效性。结果表明,与 D\(^*\), Tarantula, Ochiai, Crosstab, BPNN, RBFNN, DNN 和 CNN 等当代故障定位技术相比,所提出的 CGFL 方法平均有效率高出 24.56%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Effective fault localization using probabilistic and grouping approach

Fault localization (FL) is the key activity while debugging a program. Any improvement to this activity leads to significant improvement in total software development cost. In the paper, we present a conditional probability statistics based fault localization technique that derives the association between statement coverage information and test case execution result. This association with the failed test case result shows the fault containing probability of that specific statement. Subsequently, we use a grouping method to refine the obtained statement ranking sequence for better fault localization. We named our proposed FL technique as CGFL, it is an abbreviation of Conditional probability and Grouping based Fault Localization. We evaluated the effectiveness of the proposed method over eleven open-source data sets from Defects4j and SIR repositories. Our obtained results show that on average, the proposed CGFL method is 24.56% more effective than contemporary FL techniques namely D\(^*\), Tarantula, Ochiai, Crosstab, BPNN, RBFNN, DNN, and CNN.

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来源期刊
CiteScore
4.30
自引率
10.00%
发文量
252
期刊介绍: This Journal is established with a view to cater to increased awareness for high quality research in the seamless integration of heterogeneous technologies to formulate bankable solutions to the emergent complex engineering problems. Assurance engineering could be thought of as relating to the provision of higher confidence in the reliable and secure implementation of a system’s critical characteristic features through the espousal of a holistic approach by using a wide variety of cross disciplinary tools and techniques. Successful realization of sustainable and dependable products, systems and services involves an extensive adoption of Reliability, Quality, Safety and Risk related procedures for achieving high assurancelevels of performance; also pivotal are the management issues related to risk and uncertainty that govern the practical constraints encountered in their deployment. It is our intention to provide a platform for the modeling and analysis of large engineering systems, among the other aforementioned allied goals of systems assurance engineering, leading to the enforcement of performance enhancement measures. Achieving a fine balance between theory and practice is the primary focus. The Journal only publishes high quality papers that have passed the rigorous peer review procedure of an archival scientific Journal. The aim is an increasing number of submissions, wide circulation and a high impact factor.
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