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Modeling and Verifying Imprecise Requirements of Systems Using Event-B

  • Hong Anh LeEmail author
  • Loan Dinh Thi
  • Ninh Thuan Truong
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 244)

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.

Keywords

Fuzzy Logic Formal Method Safety Property Proof Obligation Fuzzy Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Hong Anh Le
    • 1
    Email author
  • Loan Dinh Thi
    • 2
  • Ninh Thuan Truong
    • 2
  1. 1.Hanoi University of Mining and GeologyHanoiVietnam
  2. 2.VNU - University of Engineering and TechnologyHanoiVietnam

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