Process Analysis Toolkit (PAT) 3.5 Help |
PAT is a self-contained framework for to support composing, simulating
and reasoning of concurrent, real-time systems and other possible domains.
It comes with user friendly interfaces, featured model editor and animated
simulator. Most importantly, PAT implements various model checking techniques
catering for different properties such as deadlock-freeness,
divergence-freeness, reachability, LTL properties with fairness
assumptions, refinement checking and probabilistic model checking. To
achieve good performance, advanced optimization techniques are implemented in
PAT, e.g. partial order reduction, symmetry reduction, process counter
abstraction, parallel model checking. The main functionalities of PAT are listed as follows: We design PAT as an extensible and modularized framework, which
allows user to build customized model checkers easily. We provide a library of
model checking algorithms as well as the support for customizing language
syntax, semantics, model checking algorithms and reduction techniques, graphic
user interfaces, and domain specific abstraction
techniques. Delightfully, PAT has been growing up to eleven modules today to
deal with problems in different domains including Real Time Systems, Web Service
Models, Probability Models, and Sensor Networks etc. In order to be
state-of-the-art, we are actively developing PAT to cope with latest
formal-automated system analysis techniques.Welcome to Process Analysis Toolkit (PAT)!
This manual will introduce you various aspects of PAT, including using PAT and specific knowledge of different modules in PAT. In this chapter, we will discuss about why we need system verification and what PAT is designed for. See Section 1.1 Preface. Also we will give an outline to show how this manual is organized and what are the main topics covered. See Section1.2 Organization.
PAT project is initialized in School of Computing, National University of Singapore in July 2007.
The key members designing PAT are:
Should you meet any difficulty using PAT or find bugs of PAT or have some suggestion on improving PAT, please do not hesitate to contact any one of us. Alternatively, you can send an email to pat@comp.nus.edu.sg.
We own thanks to research collaborators, including Prof.
Jun Pang, Prof.
Hai Wang, Prof. Jing Sun, Prof.
Wei Chen, Prof.
Annie Y. Liu and Prof.
Geguang Pu.
We would like to thank Prof.
Jing Sun, Prof.
Hugh Anderson, Prof. Jonathan S. Ostroff for using PAT for the course
teaching. Their valuable feedback made PAT more suitable for
teaching.
We are very grateful for the valuable
comments and suggestions from professor Tony Hoare, professor Joxan Jaffar, professor Jim Woodcock, professor Jim Davis, professor Jens
Palsberg, professor Auguston Mikhail, professor Kokichi
FUTATSUGI, professor Phil
Brooke, professor Kenji Taguchi, professor Doron A. Peled so on.
We have special thanks to our Japanese user group, especially Hiroshi Fujimoto, Kenji Taguchi, Masaru Nagaku, Toshiyuki Fujikura.