PDF An Introduction to Assertional Reasoning for Concurrent Systems

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This is a tutorial introduction to assertional reasoning based on temporal logic. The objective is to provide a working familiarity with the.
Table of contents

It describes programs, service programs, how to establish that a program implements a service program, and the benefits of using service programs when writing other programs. A program consists of main code and functions. The program can create threads to execute local functions, call functions of other systems, and instantiate programs. Thus a program can create a collection of concurrently-executing and interacting systems. Service programs are programs that define the intended external behavior of regular programs.

They have a special structure that make them easy to understand, and hence easy to use when writing other programs. If a program A implements a service program B , then replacing an instantiation of B in any program C by an instantiation of A preserves all the correctness properties of program C. To establish that a program A implements a service program B , one simply shows that the program of A and B -inverse satisfies certain conditions. Assertional reasoning is used to account for every possible evolution. Please log in to get access to this content Log in Register for free.

To get access to this content you need the following product:. Springer Professional "Technik" Online-Abonnement. Springer Professional "Wirtschaft" Online-Abonnement. Abadi, L. Lamport, The existence of refinement mappings. Lamport, Composing specifications. ACM Trans.


Alaettinoglu, A. Shankar, Stepwise assertional design of distance-vector routing algorithms. Linn Jr. IFIP Transactions, vol. C-8 North-Holland, New York, , pp.

Logics and Models of Concurrent Systems

Andrews, A method for solving synchronization problems. Andrews, F. Schneider, Concepts and notations for concurrent programming. ACM Comput. Ashcroft, Proving assertions about parallel programs. Back, Invariant based programming: basic approach and teaching experiences. Aspects Comput. Back, R. Back, F. Kurki-Suonio, Distributed cooperation with action systems. Back, K. Sere, Stepwise refinement of parallel algorithms. Sere, Stepwise refinement of action systems.

Software 12 , 17—30 Back, J. Wright, Contracts, games, and refinement. Control , 25—45 Wright, Compositional action system refinement. Addison-Wesley, San Francisco, Carruth, J. Misra, Proof of a real-time mutual-exclusion algorithm. Parallel Process. Chandy, J. Misra, The drinking philosophers problem. Misra, An example of stepwise refinement of distributed programs: quiescence detection. Misra, Proof of distributed algorithms: an exercise, in: Developments in Concurrency and Communication , ed. Hoare Addison-Wesley Longman, Boston, , pp.

Clarke, E.

Emerson, A. Sistla, Automatic verification of finite-state concurrent systems using temporal logic specifications. Clarke Jr. Grumberg, D. UMI Order No.

Volume 25, Number 1, March 1993

Misra, T. Nipkow, E.

  • Subband and Wavelet Transforms: Design and Applications.
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  • Modelling, Specification, and Verification of Distributed Systems VT'07, 5p.
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Lecture Notes in Computer Science, vol. Cohen, L.

  1. Aldous Huxley and the Search for Meaning: A Study of the Eleven Novels?
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  4. Cohen, M. Dahlweid, M. Hillebrand, D. Leinenbach, M. Moskal, T. Santen, W. Papers Table of contents 17 papers About About these proceedings Table of contents Search within book. Front Matter Pages Clarke, M. Browne, E. Emerson, A. Pages Resolution Modal Logics. Tools for Verifying Network Protocols.

    ACM Computing Surveys, Volume 25

    Things have grown incalculable by being calculated. The curse of concurrency in computing is its complexity. Even a small-scale concurrent system may expose an amazingly complex behavior that would make it very challenging to formally reason about. But we have to meet the challenge! Due to inherent limitations of centralized computing, all computing systems nowadays is becoming distributed, ranging from Internet-scale services to multiprocessors.

    Modelling, Specification, and Verification of Distributed Systems VT'07, 5p

    Therefore, understanding the principles of concurrency is indispensable in all aspects of designing and engineering modern computing systems. The main challenge here is to balance correctness of the system's executions with its availability and efficiency, in the presence of possible misbehavior of the system components and the environment such as faults and asynchrony.

    Students who complete this module will learn how to design concurrent algorithms, reason about their correctness, and derive matching complexity bounds. The primary focus of the module is on understanding of the foundations of concurrent computing.