Approximate Probabilistic Model Checking for Programs
From LRDE
- Authors
- Jérôme Darbon, Richard Lassaigne, Sylvain Peyronnet
- Where
- Proceedings of the IEEE 2nd International Conference on Intelligent Computer Communication and Processing (ICCP'06)
- Place
- Technical University of Cluj-Napoca, Romania
- Type
- inproceedings
- Date
- 2006-07-27
Abstract
In this paper we deal with the problem of applying model checking to real programs. We verify a program without constructing the whole transition system using a technique based on Monte-Carlo sampling, also called “approximate model checking”. This technique combines model checking and randomized approximation. Thus, it avoids the so called state space explosion phenomenon. We propose a prototype implementation that works directly on C source code. It means that, contrary to others approaches, we do not need to use a specific language nor specific data structures in order to describe the system we wish to verify. Finally, we present experimental results that show the effectiveness of the approach applied to finding bugs in real programs.
Documents
Bibtex (lrde.bib)
@InProceedings{ darbon.06.iccp, author = {J\'er\^ome Darbon and Richard Lassaigne and Sylvain Peyronnet}, title = {Approximate Probabilistic Model Checking for Programs}, booktitle = {Proceedings of the {IEEE} 2nd International Conference on Intelligent Computer Communication and Processing ({ICCP'06)}}, year = 2006, address = {Technical University of Cluj-Napoca, Romania}, month = sep, abstract = {In this paper we deal with the problem of applying model checking to real programs. We verify a program without constructing the whole transition system using a technique based on Monte-Carlo sampling, also called ``approximate model checking''. This technique combines model checking and randomized approximation. Thus, it avoids the so called state space explosion phenomenon. We propose a prototype implementation that works directly on C source code. It means that, contrary to others approaches, we do not need to use a specific language nor specific data structures in order to describe the system we wish to verify. Finally, we present experimental results that show the effectiveness of the approach applied to finding bugs in real programs.} }