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Cited by 395

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SemFix: Program repair via semantic analysis

Nguyen, Hoang Duong Thien, Qi, Dawei, Roychoudhury, Abhik, Chandra, Satish·2013·2013 35th International Conference on Software Engineering (ICSE)

Abstract

Debugging consumes significant time and effort in any major software development project. Moreover, even after the root cause of a bug is identified, fixing the bug is non-trivial. Given this situation, automated program repair methods are of value. In this paper, we present an automated repair method based on symbolic execution, constraint solving and program synthesis. In our approach, the requirement on the repaired code to pass a given set of tests is formulated as a constraint. Such a constraint is then solved by iterating over a layered space of repair expressions, layered by the complexity of the repair code. We compare our method with recently proposed genetic programming based repair on SIR programs with seeded bugs, as well as fragments of GNU Coreutils with real bugs. On these subjects, our approach reports a higher success-rate than genetic programming based repair, and produces a repair faster.

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Metadata

Authors
Nguyen, H. D. T., Qi, D., Roychoudhury, A., & Chandra, S.
Venue
2013 35th International Conference on Software Engineering (ICSE)
Publisher
IEEE
Published
2013-05
Pages
772-781
ISSN
0270-5257 (ISSN-L)
OpenAlex
W4244452926
Cited by
395
References
1
FWCI
12.18
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: SemFix: Program repair via semantic analysis. https://app.cochat.ai/papers/10.1109/icse.2013.6606623
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Nguyen, H. D. T., Qi, D., Roychoudhury, A., & Chandra, S. (2013). SemFix: Program repair via semantic analysis. 2013 35th International Conference on Software Engineering (ICSE). https://doi.org/10.1109/icse.2013.6606623

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