The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
SBFL-Suitability: A Software Characteristic for Fault Localization
Open accessAbstract
Spectrum-Based Fault Localization (in short, SBFL) is one of the popular techniques to localize faulty code fragments of a given program. SBFL utilizes the information about which statements are executed by each of the success or failure test cases. There are various implementation ways for the same functionality if we use high-level programming languages. The authors consider that differences in these implementation ways may affect the efficiency of localizing faults using SBFL. In this paper, we define a characteristic to what extent a program is suitable for SBFL as SBFL-Suitability, and we propose a technique for measuring SBFL-Suitability. The proposed technique generates many slightly-variant programs from a given program with Mutation Testing, and then it measures how accurately SBFL detects the changed program statements in the variant programs. We conducted an experiment to investigate how SBFL-Suitability differs depending on the differences in source code structures. As a result, we found that (1) the fewer statements in the same nesting level, the higher SBFL-Suitability tends to be, and (2) the presence of Early Return improves SBFL-Suitability.
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“Ochiai is a lightweight unsupervised Spectrum-Based Fault Localization (SBFL) technique [30] based on the intuition that methods covered by more failing tests and fewer passing tests are considered more suspicious (e.g., faulty).”
From Order Matters! An Empirical Study on Large Language Models' Input Order Bias in Software Fault Localization (2024) · cites this paper as [30]
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A Survey on Software Fault Localization
Wong, W. E., Gao, R., Li, Y., Abreu, R., & Wotawa, F. (2016) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2521368 · Cited by 1,110
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Cited by
Sorted by citations
Rafi, M. N., Kim, D. J., Chen, T.-H., & Wang, S. (2024) · arXiv · doi:10.48550/arxiv.2412.18750
Metadata
- Authors
- Sasaki, Y., Higo, Y., Matsumoto, S., & Kusumoto, S.
- Affiliations
- Japan Research Institute (JP)
- The University of Osaka (JP)
- Venue
- 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)
- Publisher
- IEEE
- Published
- 2020-09
- Pages
- 702-706
- ISSN
- 1063-6773 (ISSN-L)
- OpenAlex
- W3097433885
- Cited by
- 17
- References
- 1
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 4 · 2022: 1 · 2021: 1
- FWCI
- 0.99
- Type
- conference paper
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- IEEE International Conference on Software Maintenance (ICSM) (publishedVersion)
- OUKA (Osaka University Knowledge Archive) (Osaka University) (submittedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- Funders
- Japan Society for the Promotion of Science (18H03222, 20H04166)
- Topics
- Physical Sciences › Computer Science › Software › Software Testing and Debugging Techniques
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Keywords
- spectrum-based fault localization, mutation testing, program variants, early returns, source code structure
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