The DOI matches its Crossref record.
Software requirements analysis for real-time process-control systems
Abstract
A set of criteria is defined to help find errors in, software requirements specifications. Only analysis criteria that examine the behavioral description of the computer are considered. The behavior of the software is described in terms of observable phenomena external to the software. Particular attention is focused on the properties of robustness and lack of ambiguity. The criteria are defined using an abstract state-machine model for generality. Using these criteria, analysis procedures can be defined for particular state-machine modeling languages to provide semantic analysis of real-time process-control software requirements.>
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Citations
Cited by
Engineering a Safer World: Systems Thinking Applied to Safety
(2012) · Choice Reviews Online · doi:10.5860/choice.49-6305 · Cited by 1,566
Self-citationAnalyzing software requirements errors in safety-critical, embedded systems
Lutz, R. R. (2002) · [1993] Proceedings of the IEEE International Symposium on Requirements Engineering · doi:10.1109/isre.1993.324825 · Cited by 285
Metadata
- Authors
- Jaffe, M. S., Leveson, N. G., Heimdahl, M. P. E., & Melhart, B. E.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1991-03
- Volume
- 17
- Issue
- 3
- Pages
- 241-258
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2135120182
- Cited by
- 231
- References
- 0
- FWCI
- 61.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Software requirements analysis for real-time process-control systems. https://app.cochat.ai/papers/10.1109/32.75414
- The paper
- Jaffe, M. S., Leveson, N. G., Heimdahl, M. P. E., & Melhart, B. E. (1991). Software requirements analysis for real-time process-control systems. IEEE Transactions on Software Engineering. https://doi.org/10.1109/32.75414
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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.
