NDLI: A Study of Modified Testing-Based Fault Localization Method

Content Provider	IEEE Xplore Digital Library
Author	Yu-Min Chung Chin-Yu Huang Yu-Chi Huang
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Chin-Yu Huang; Yu-Chi Huang) \|\| 'Dept. of Software Dev., PEGATRON Corp., Taipei, Taiwan (Yu-Min Chung)
Abstract	In software development and maintenance, locating faults is generally a complex and time-consuming process. In order to effectively identify the locations of program faults, several approaches have been proposed. Similarity-aware fault localization (SAFL) is a testing-based fault localization method that utilizes testing information to calculate the suspicion probability of each statement. Dicing is also another method that we have used. In this paper, our proposed method focuses on predicates and their influence, instead of on statements in traditional SAFL. In our method, fuzzy theory, matrix calculating, and some probability are used. Our method detects the importance of each predicate and then provides more test data for programmers to analyze the fault locations. Furthermore, programmers will also gain some important information about the program in order to maintain their program accordingly. In order to speed up the efficiency, we also simplified the program. We performed an experimental study for several programs, together with another two testing-based fault localization (TBFL) approaches. These three methods were discussed in terms of different criteria such as line of code and suspicious code coverage. The experimental results show that the proposed method from our study can decrease the number of codes which have more probability of suspicion than real bugs.
Starting Page	168
Ending Page	175
File Size	334984
Page Count	8
File Format	PDF
ISBN	9780769534480
DOI	10.1109/PRDC.2008.34
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-15
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probability Programming profession Software testing Fault detection Computer bugs Software debugging Computer errors System testing Computer science Information systems Fault localization Fuzzy set theory
Content Type	Text
Resource Type	Article

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