The DOI matches its Crossref record.
Safety analysis of timing properties in real-time systems
Abstract
The authors formalize the safety analysis of timing properties in real-time systems. The analysis is based on a formal logic, RTL (real-time logic), which is especially suitable for reasoning about the timing behavior of systems. Given the formal specification of a system and a safety assertion to be analyzed, the goal is to relate the safety assertion to the systems specification. There are three distinct cases: (1) the safety assertion is a theorem derivable from the systems specification; (2) the safety assertion is unsatisfiable with respect to the systems specification; or (3) the negation of the safety assertion is satisfiable under certain conditions. A systematic method for performing safety analysis is presented.
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Citations
Cited by
A logic for reasoning about time and reliability
Hansson, H., & Jonsson, B. (1994) · Formal Aspects of Computing · doi:10.1007/bf01211866 · Cited by 1,372
Misconceptions about real-time computing: a serious problem for next-generation systems
Stankovic, J. A. (1988) · Computer · doi:10.1109/2.7053 · Cited by 965
Metadata
- Authors
- Jahanian, F., & Mok, A. K.-L.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1986-09
- Volume
- SE-12
- Issue
- 9
- Pages
- 890-904
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2056359803
- Cited by
- 628
- References
- 0
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Safety analysis of timing properties in real-time systems. https://app.cochat.ai/papers/10.1109/tse.1986.6313045
- The paper
- Jahanian, F., & Mok, A. K.-L. (1986). Safety analysis of timing properties in real-time systems. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.1986.6313045
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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.
