Title :
Leveraging Method Call Anomalies to Improve the Effectiveness of Spectrum-Based Fault Localization Techniques for Object-Oriented Programs
Author :
Tu, Jingxuan ; Chen, Lin ; Zhou, Yuming ; Zhao, Jianjun ; Xu, Baowen
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanjing Univ., Nanjing, China
Abstract :
Spectrum-based fault localization (SFL) is a lightweight automated diagnosis technique. However, when applied to object-oriented programs, its diagnostic accuracy is limited as suspicious statements are distributed in different classes. In this paper, we propose an approach to leveraging method call anomalies to improve the effectiveness of SFL techniques for locating faulty statements in an object oriented program. First, we compute the suspiciousness for each class based on the difference in its method call sequences between passed and failed runs. Then, we use the suspiciousness information of classes to refine SFL ranks in order to enhance their fault localization effectiveness of object-oriented software. The empirical results show that the proposed approach is able to improve the effectiveness of SFL techniques.
Keywords :
object-oriented programming; program diagnostics; software fault tolerance; SFL; automated diagnosis technique; diagnostic accuracy; leveraging method call anomalies; object-oriented programs; object-oriented software; spectrum based fault localization techniques; suspiciousness information; Bars; Containers; Educational institutions; Java; Laboratories; Software; fault localization; method call anomalies; object-oriented; spectrumbased;
Conference_Titel :
Quality Software (QSIC), 2012 12th International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-2857-9
DOI :
10.1109/QSIC.2012.30