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Tele Design of Reactive Systems Summer 2001 Prof. Dr. Stefan Leue Institute for Computer Science Albert-Ludwigs-Universität Freiburg

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Presentation on theme: "Tele Design of Reactive Systems Summer 2001 Prof. Dr. Stefan Leue Institute for Computer Science Albert-Ludwigs-Universität Freiburg"— Presentation transcript:

1 tele Design of Reactive Systems Summer 2001 Prof. Dr. Stefan Leue Institute for Computer Science Albert-Ludwigs-Universität Freiburg leue@uni-freiburg.de Copyright © Stefan Leue 2001

2 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 2 Temporal Logic based Requirement Specification Part 5a

3 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 3 Properties  Property  A system execution (computation) will be modeled as a sequence of states or events –  0 = –  1 =  A system property is represented by a set of computations –  = {  0,  1,...}  Definition  a program P has the property  if all its computations are in .  Property Representation  normally too cumbersome to enumerate all infinite computations, therefore use of mathematical formalisms –state machines  property corresponds to accepted language –  -regular expressions –temporal logic

4 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 4 Safety and Liveness  Classification of Properties  safety: something bad will never happen –example: it is never the case that more than one process is in the critical section (mutual exclusion) –invariant violation  liveness: something good will eventually happen –example: any process attempting to get access to the critical section will eventually be granted access

5 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 5 Safety and Liveness  Notation   : finite set of states   + : set of all non-empty, finite sequences of states from     : set of all non-empty, infinite sequences of states from   Finitary and infinitary properties  We call    + a finitary property, and  a finitary or partial computation  We call     an infinitary property, and  an infinitary computation

6 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 6 Safety and Liveness  Prefixes

7 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 7 Safety and Liveness

8 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 8 Safety and Liveness

9 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 9 Safety and Liveness

10 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 10 Safety and Liveness

11 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 11 Safety and Liveness

12 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 12 Safety and Liveness  Why the safety/liveness classification?  Intuitively –checking safety property: simple exploration of all states –checking livenes property: exploration of all states, checking in every state whether any continuation of the prefix will satisfy property  Consequence –more search effort for liveness properties –therefore more expensive to verify

13 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 13 Safety and Liveness  Example if the system is in a state in which a message has been sent, then it will eventually reach a state in which a message has been received

14 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 14 Safety and Liveness

15 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 15 Safety and Liveness

16 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 16 Safety and Liveness

17 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 17 Safety and Liveness

18 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 18 Safety and Liveness

19 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 19 Safety and Liveness

20 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 20 Safety and Liveness  Other Classifications  topological –safety: closed sets –liveness: dense sets  temporal logic (more later)  automata theoretic

21 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 21 Safety and Liveness  Examples  Safety –partial correctness  program doesn't produce wrong results and does not enter an unwanted state –mutual exclusion  never two processes in critical section at the same time –absence of deadlock  the program never reaches a deadlock state  Liveness –termination  the programme will eventually reach a final state –progress  the programme will eventually receive the requested service

22 tele © Stefan Leue 2002 Design of Reactive Systems / Summer 2002 V - 22 References  [Hughes and Cresswell] G. Huges and M. Cresswell, An Introduction to Modal Logic, Methuen, 1968  [Huth and Ryan] M. Huth and M. Ryan, Logic in Computer Science - Modelling and reasoning about systems, Cambridge University Press, 2000  [Manna and Pnueli 92] Z. Manna and A. Pnueli, The Temporal Logic of Reactive and Concurrent Systems - Specifications, Springer Verlag, 1992  [Schwarz and Melliar-Smith] R. Schwarz and M. Melliar- Smith, From State Machines to Temporal Logic: Specification Methods for Protocol Standards, IEEE Transactions on Communications, 30(12), S. 2486 - 2496, Dezember 1982.


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