A structural linearization principle for processes |
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Authors: | Robert P. Kurshan Michael Merritt Ariel Orda Sonia R. Sachs |
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Affiliation: | (1) AT&T Bell Labs, 07974 Murray Hill, NJ, USA;(2) Dept. of Electrical Engineering, Technion, 32000 Haifa, Israel;(3) Dept. of Elec. Eng. and CS, U. C. Berkeley, 94720 Berkeley, CA, USA |
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Abstract: | In [11], an induction principle for processes was given which allows one to apply model-checking techniques to parameterized families of processes. A limitation of the induction principle is that it does not apply to the case in which one process depends directly upon a parameterized number of processes, which grows without bound. This would seem to preclude its application to families ofN processes interconnected in a star topology. Nonetheless, we show that if the dependency can be computed incrementally, then the direct dependency upon the parameterized number of processes may be re-expressed recursively in terms of a linear cascade of processes, yielding in effect a linearization of the inter-process dependencies and allowing the induction principle to apply.A previous version of this paper appears in the Proceedings of CAV 1993 (LNCS 697). |
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Keywords: | Automatic verification distributed algorithms induction invariant linearization model checking star topology |
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