Distributed Analysis with µCRL: A Compendium of Case Studies
Stefan Blom, Jens R. Calamé, Bert Lisser, Simona Orzan, Jun Pang, Jaco van de Pol, Mohammad Torabi Dashti, and Anton J. WijsProceedings of the 13th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2007), Lecture Notes in Computer Science 4424, pp. 683 – 689, 2007.
Abstract
Models in process algebra with abstract data types can be analysed by
state space generation and reduction tools. The µCRL toolset
implements a suite of distributed verification tools for clusters of
workstations. We illustrate their application to large case studies
from a wide range of application areas, such as functional analysis,
scheduling, security analysis, test case generation and game solving.
BibTeX
@inproceedings{BCLOPPDW-TACAS07, author = "Stefan Blom and Jens R.\ Calam\'{e} and Bert Lisser and Simona Orzan and Jun Pang and Jaco van de Pol and Mohammad Torabi Dashti and Anton J.\ Wijs", title = "Distributed Analysis with {$\mu$}CRL: A Compendium of Case Studies", booktitle = "Proceedings of the 13th International Conference on Tools and Algorithms for the Construction and Analysis of Systems", series = "Lecture Notes in Computer Science", volume = 4424, pages = "683--689", publisher = "Springer-Verlag", year = 2007 }