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Symbolic execution for software testing: three decades later
Abstract
The challenges---and great promise---of modern symbolic execution techniques, and the tools to help implement them.
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Cited by
A survey of symbolic execution techniques
Baldoni, R., Coppa, E., D’elia, D. C., Demetrescu, C., & Finocchi, I. (2019) · ACM Computing Surveys · doi:10.1145/3182657 · Cited by 708
Large language models for software engineering: survey and open problems
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE) · doi:10.1109/icse-fose59343.2023.00008 · Cited by 650
Large Language Models for Software Engineering: Survey and Open Problems
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · arXiv · doi:10.48550/arxiv.2310.03533 · Cited by 523
AutoCodeRover: Autonomous Program Improvement
Zhang, Y., Ruan, H., Fan, Z., & Roychoudhury, A. (2024) · Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis · doi:10.1145/3650212.3680384 · Cited by 202
AutoCodeRover: Autonomous Program Improvement
Zhang, Y., Ruan, H., Fan, Z., & Roychoudhury, A. (2024) · arXiv · doi:10.48550/arxiv.2404.05427 · Cited by 202
Metadata
- Authors
- Cadar, C., & Sen, K.
- Venue
- Communications of the ACM
- Published
- 2013-02
- Volume
- 56
- Issue
- 2
- Pages
- 82-90
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2107147876
- Cited by
- 776
- References
- 0
- FWCI
- 180.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Symbolic execution for software testing: three decades later. https://app.cochat.ai/papers/10.1145/2408776.2408795
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- Cadar, C., & Sen, K. (2013). Symbolic execution for software testing: three decades later. Communications of the ACM. https://doi.org/10.1145/2408776.2408795
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
