Call for Papers
About the Journal
Editorial Board
Publication Ethics
Instructions for Authors
Announcements
Current Issue
Back Issues
Search for Articles
Categories
Search for Articles
 

JCSE, vol. 9, no. 3, pp.142-154, 2015

DOI: http://dx.doi.org/10.5626/JCSE.2015.9.3.142

Selecting Test Cases for Result Inspection to Support Effective Fault Localization

Yihan Li1,2*, Jicheng Chen1, Fan Ni1,2, Yaqian Zhao1,2, and Hongwei Wang1
1State Key Laboratory of High-end Server & Storage Technology, Inspur, Beijing, China, and 2School of Computer Science and Engineering, Beihang University, Beijing, China

Abstract: Fault localization techniques help locate faults in source codes by exploiting collected test information and have shown promising results. To precisely locate faults, the techniques require a large number of test cases that sufficiently exercise the executable statements together with the label information of each test case as a failure or a success. However, during the process of software development, developers may not have high-coverage test cases to effectively locate faults. With the test case generation techniques, a large number of test cases without expected outputs can be automatically generated. Whereas the execution results for generated test cases need to be inspected by developers, which brings much manual effort and potentially hampers fault-localization effectiveness. To address this problem, this paper presents a method to select a few test cases from a number of test cases without expected outputs for result inspection, and in the meantime selected test cases can still support effective fault localization. The experimental results show that our approach can significantly reduce the number of test cases that need to be inspected by developers and the effectiveness of fault localization techniques is close to that of whole test cases.

Keyword: Fault localization; Debugging; Test case selection; Passed tests; Failed tests

Full Paper:   404 Downloads, 2309 View

 
 
ⓒ Copyright 2010 KIISE – All Rights Reserved.    
Korean Institute of Information Scientists and Engineers (KIISE)   #401 Meorijae Bldg., 984-1 Bangbae 3-dong, Seo-cho-gu, Seoul 137-849, Korea
Phone: +82-2-588-9240    Fax: +82-2-521-1352    Homepage: http://jcse.kiise.org    Email: office@kiise.org