Semantic fault localization and suspiciousness ranking

M. Christakis, M. Heizmann, M.N. Mansur, C. Schilling, V. Wüstholz, in:, 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems , Springer Nature, 2019, pp. 226–243.

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Conference Paper | Published | English
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LNCS
Abstract
Static program analyzers are increasingly effective in checking correctness properties of programs and reporting any errors found, often in the form of error traces. However, developers still spend a significant amount of time on debugging. This involves processing long error traces in an effort to localize a bug to a relatively small part of the program and to identify its cause. In this paper, we present a technique for automated fault localization that, given a program and an error trace, efficiently narrows down the cause of the error to a few statements. These statements are then ranked in terms of their suspiciousness. Our technique relies only on the semantics of the given program and does not require any test cases or user guidance. In experiments on a set of C benchmarks, we show that our technique is effective in quickly isolating the cause of error while out-performing other state-of-the-art fault-localization techniques.
Publishing Year
Date Published
2019-04-04
Proceedings Title
25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems
Volume
11427
Page
226-243
Conference
TACAS: Tools and Algorithms for the Construction and Analysis of Systems
Conference Location
Prague, Czech Republic
Conference Date
2019-04-06 – 2019-04-11
IST-REx-ID

Cite this

Christakis M, Heizmann M, Mansur MN, Schilling C, Wüstholz V. Semantic fault localization and suspiciousness ranking. In: 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems . Vol 11427. Springer Nature; 2019:226-243. doi:10.1007/978-3-030-17462-0_13
Christakis, M., Heizmann, M., Mansur, M. N., Schilling, C., & Wüstholz, V. (2019). Semantic fault localization and suspiciousness ranking. In 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (Vol. 11427, pp. 226–243). Prague, Czech Republic: Springer Nature. https://doi.org/10.1007/978-3-030-17462-0_13
Christakis, Maria, Matthias Heizmann, Muhammad Numair Mansur, Christian Schilling, and Valentin Wüstholz. “Semantic Fault Localization and Suspiciousness Ranking.” In 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems , 11427:226–43. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-17462-0_13.
M. Christakis, M. Heizmann, M. N. Mansur, C. Schilling, and V. Wüstholz, “Semantic fault localization and suspiciousness ranking,” in 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems , Prague, Czech Republic, 2019, vol. 11427, pp. 226–243.
Christakis M, Heizmann M, Mansur MN, Schilling C, Wüstholz V. 2019. Semantic fault localization and suspiciousness ranking. 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems . TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 11427. 226–243.
Christakis, Maria, et al. “Semantic Fault Localization and Suspiciousness Ranking.” 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems , vol. 11427, Springer Nature, 2019, pp. 226–43, doi:10.1007/978-3-030-17462-0_13.
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