Process Algebra and Probabilistic Methods. Performance Modelling and Verification

Joint International Workshop, PAPM-PROBMIV 2001, Aachen, Germany, September 12-14, 2001. Proceedings
2001
ISBN: 978-3-540-42556-4
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 2165, 224 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 365 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Gilmore, Stephen

Alfaro, Luca de

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering Objektorientierte Softwareentwicklung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Prozedurale Programmierung
• Mathematik | Informatik Mathematik Algebra Homologische Algebra
• Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines

Inhaltsverzeichnis

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.