Compositional Verification of Concurrent and Real-Time Systems

  • Eric Y. T. Juan
  • Jeffrey J. P. Tsai

Table of contents

  1. Front Matter
    Pages i-xix
  2. Eric Y. T. Juan, Jeffrey J. P. Tsai
    Pages 1-6
  3. Eric Y. T. Juan, Jeffrey J. P. Tsai
    Pages 7-15
  4. Eric Y. T. Juan, Jeffrey J. P. Tsai
    Pages 17-27
  5. Eric Y. T. Juan, Jeffrey J. P. Tsai
    Pages 29-81
  6. Eric Y. T. Juan, Jeffrey J. P. Tsai
    Pages 83-128
  7. Eric Y. T. Juan, Jeffrey J. P. Tsai
    Pages 129-142
  8. Eric Y. T. Juan, Jeffrey J. P. Tsai
    Pages 143-186
  9. Back Matter
    Pages 187-196

About this book


With the rapid growth of networking and high-computing power, the demand for large-scale and complex software systems has increased dramatically. Many of the software systems support or supplant human control of safety-critical systems such as flight control systems, space shuttle control systems, aircraft avionics control systems, robotics, patient monitoring systems, nuclear power plant control systems, and so on. Failure of safety-critical systems could result in great disasters and loss of human life. Therefore, software used for safety­ critical systems should preserve high assurance properties. In order to comply with high assurance properties, a safety-critical system often shares resources between multiple concurrently active computing agents and must meet rigid real-time constraints. However, concurrency and timing constraints make the development of a safety-critical system much more error prone and arduous. The correctness of software systems nowadays depends mainly on the work of testing and debugging. Testing and debugging involve the process of de­ tecting, locating, analyzing, isolating, and correcting suspected faults using the runtime information of a system. However, testing and debugging are not sufficient to prove the correctness of a safety-critical system. In contrast, static analysis is supported by formalisms to specify the system precisely. Formal verification methods are then applied to prove the logical correctness of the system with respect to the specification. Formal verifica­ tion gives us greater confidence that safety-critical systems meet the desired assurance properties in order to avoid disastrous consequences.


distributed systems embedded systems formal method formal methods formal verification modeling real-time system reliability robot robotics safety-critical system software verification

Authors and affiliations

  • Eric Y. T. Juan
    • 1
  • Jeffrey J. P. Tsai
    • 2
  1. 1.Department of Information and Computer EngineeringChung Yuan Christian UniversityChung LiTaiwan
  2. 2.Department of Computer ScienceUniversity of Illinois at ChicagoChicagoUSA

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5349-2
  • Online ISBN 978-1-4615-1009-3
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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