The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Model checking and abstraction
Open accessAbstract
We describe a method for using abstraction to reduce the complexity of temporal-logic model checking. Using techniques similar to those involved in abstract interpretation, we construct an abstract model of a program without ever examining the corresponding unabstracted model. We show how this abstract model can be used to verify properties of the original program. We have implemented a system based on these techniques, and we demonstrate their practicality using a number of examples, including a program representing a pipelined ALU circuit with over 10 1300 states.
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Cites
Cousot, P., & Cousot, R. (1977) · Proceedings of the 4th ACM SIGACT-SIGPLAN symposium on Principles of programming languages - POPL '77 · doi:10.1145/512950.512973 · Cited by 6,279
Cited by
Construction of abstract state graphs with PVS
Graf, S., & Saidi, H. (1997) · Lecture Notes in Computer Science · doi:10.1007/3-540-63166-6_10 · Cited by 1,454
Practical verification of decision-making in agent-based autonomous systems
Dennis, L. A., Fisher, M., Lincoln, N. K., Lisitsa, A., & Veres, S. M. (2016) · Automated Software Engineering · doi:10.1007/s10515-014-0168-9 · Cited by 102
Metadata
- Authors
- Clarke, E. M., Grumberg, O., & Long, D. E.
- Venue
- ACM Transactions on Programming Languages and Systems
- Published
- 1994-09
- Volume
- 16
- Issue
- 5
- Pages
- 1512-1542
- ISSN
- 0164-0925 (ISSN-L)
- 1558-4593
- OpenAlex
- W2080593426
- Cited by
- 1,211
- References
- 1
- FWCI
- 19.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Model checking and abstraction. https://app.cochat.ai/papers/10.1145/186025.186051
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- Clarke, E. M., Grumberg, O., & Long, D. E. (1994). Model checking and abstraction. ACM Transactions on Programming Languages and Systems. https://doi.org/10.1145/186025.186051
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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.
