On partial state matching

On partial state matching During explicit software model checking, the tools spend a lot of time in state matching. This is implied not only by processing a huge number of states, but also by the fact that state representation is usually not small either. In this article, we present two dead variable analyses; applying them during the code-model-checking process results in size reduction of both state representation and explored state space itself. We implemented the analyses inside Java PathFinder and evaluate their impact in terms of memory and time reduction using several non-trivial benchmarks. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Formal Aspects of Computing Springer Journals

On partial state matching

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Publisher
Springer London
Copyright
Copyright © 2017 by British Computer Society
Subject
Computer Science; Math Applications in Computer Science; Theory of Computation; Computational Mathematics and Numerical Analysis
ISSN
0934-5043
eISSN
1433-299X
D.O.I.
10.1007/s00165-016-0413-z
Publisher site
See Article on Publisher Site

Abstract

During explicit software model checking, the tools spend a lot of time in state matching. This is implied not only by processing a huge number of states, but also by the fact that state representation is usually not small either. In this article, we present two dead variable analyses; applying them during the code-model-checking process results in size reduction of both state representation and explored state space itself. We implemented the analyses inside Java PathFinder and evaluate their impact in terms of memory and time reduction using several non-trivial benchmarks.

Journal

Formal Aspects of ComputingSpringer Journals

Published: Jan 23, 2017

References

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