Abstract
Formal methods are mathematical techniques for describing system model properties. Such methods providing frameworks to specify and verify the correctness of systems which are usually described by precise requirements. In fact, system requirements are sometimes described with vague, imprecise, uncertain, ambiguous, or probabilistic terms. In this paper, we propose an approach to model and verify software systems with imprecise requirements using a formal method, e.g. Event-B. In the first step, we generalize our approach by representing some fuzzy concepts in the classical set theory. We then use such definitions to formalize the fuzzy requirements in Event-B and finally verify its properties such as safety, inconsistency and redundancy by using the Rodin tool. We also take a case study to illustrate the approach in detail.
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References
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Le, H.A., Thi, L.D., Truong, N.T. (2014). Modeling and Verifying Imprecise Requirements of Systems Using Event-B. In: Huynh, V., Denoeux, T., Tran, D., Le, A., Pham, S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-02741-8_27
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DOI: https://doi.org/10.1007/978-3-319-02741-8_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02740-1
Online ISBN: 978-3-319-02741-8
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