ENGLISH

Stochastic Model Checking. Rigorous Dependability Analysis Using Model Checking Techniques for Stochastic Systems: International Autumn School, ROCKS 2012, Vahrn, Italy, October 22-26, 2012, Advanced Lectures

By Anne Remke , Mariëlle Stoelinga (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2014
ISBN
978-3-662-45488-6, 978-3-662-45489-3
DOI
10.1007/978-3-662-45489-3
Language
english
Format
PDF
Filesize
7 MB (7020495 bytes)
Series
Lecture Notes in Computer Science 8453 Theoretical Computer Science and General Issues
Edition
1
Pages
281\290
Time added
2014-11-10 20:00:00
CompilersInterpreters; Probability and Statistics in ComputLogics and Meanings of Programs; Software Engineer

Description

The use of stochastic models in computer science is wide spread, for instance in performance modeling, analysis of randomized algorithms and communication protocols which form the structure of the Internet. Stochastic model checking is an important field in stochastic analysis. It has rapidly gained popularity, due to its powerful and systematic methods to model and analyze stochastic systems. This book presents 7 tutorial lectures given by leading scientists at the ROCKS Autumn School on Stochastic Model Checking, held in Vahrn, Italy, in October 2012. The 7 chapters of this tutorial went through two rounds of reviewing and improvement and are summarizing the state-of-the-art in the field, centered around the tree areas of stochastic models, abstraction techniques and stochastic model checking.

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