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Process Algebra and Probabilistic Methods. Performance Modelling and Verification : Joint International Workshop, PAPM-PROBMIV 2001, Aachen, Germany, September 12-14, 2001. Proceedings / edited by Luca de Alfaro, Stephen Gilmore.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
De Alfaro, Luca, 1966- editor.
Gilmore, Stephen, 1962- editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2165.
Lecture Notes in Computer Science, 0302-9743 ; 2165
Language:
English
Subjects (All):
Algebra.
Computers.
Probabilities.
Computer logic.
Software engineering.
Programming languages (Electronic computers).
Theory of Computation.
Probability Theory and Stochastic Processes.
Logics and Meanings of Programs.
Software Engineering.
Programming Languages, Compilers, Interpreters.
Local Subjects:
Algebra.
Theory of Computation.
Probability Theory and Stochastic Processes.
Logics and Meanings of Programs.
Software Engineering.
Programming Languages, Compilers, Interpreters.
Physical Description:
1 online resource (XII, 224 pages).
Edition:
First edition 2001.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the Joint Workshop on Process Algebra and Performance Modeling and Probabilistic Methods in Verification, PAPM-PROBMIV 2001, held in Aachen, Germany in September 2001. The 12 revised full papers presented together with one invited paper were carefully reviewed and selected from 23 submissions. Among the topics addressed are model representation, model checking, probabilistic systems analysis, refinement, Markov chains, random variables, stochastic timed systems, Max-Plus algebra, process algebra, system modeling, and the Mobius modeling framework.
Contents:
Invited Paper
Advances in Model Representations
Contributed Papers
Faster and Symbolic CTMC Model Checking
Reachability Analysis of Probabilistic Systems by Successive Refinements
Beyond Memoryless Distributions: Model Checking Semi-Markov Chains
Coin Lemmas with Random Variables
MoDeST - A Modelling and Description Language for Stochastic Timed Systems
Randomization Helps in LTL Model Checking
An Efficient Kronecker Representation for PEPA Models
Reward Based Congruences: Can We Aggregate More?
Using Max-Plus Algebra for the Evaluation of Stochastic Process Algebra Prefixes
Expressing Processes with Different Action Durations through Probabilities
Quantifying the Dynamic Behavior of Process Algebras
Implementing a Stochastic Process Algebra within the Möbius Modeling Framework.
Other Format:
Printed edition:
ISBN:
978-3-540-44804-4
9783540448044
Access Restriction:
Restricted for use by site license.

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