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| Content Provider | ACM Digital Library |
|---|---|
| Author | Pnueli, Amir |
| Abstract | We consider the problem of Uniform Algorithmic Verification of Parameterized Systems, which requires establishing in a single verification effort the correctness of a parameterized family of systems for any value of the parameter. As has been observed by several researchers, using regular expressions or equivalent formalisms (e.g. WS1S) as assertional language, we can perform symbolic model checking of systems of unbounded number of states.We start by showing that the verification problem can be viewed as taking place in a space of 3 dimensions: Time, Control, and Data. We will illustrate how regular expressions can be naturally applied to deal with any of these dimensions in case it becomes unbounded. Unfortunately, extending the tool of regular expressions to 2 dimension leads to undecidability.We therefore consider alternate ways of dealing with systems which have both unbounded control and unbounded data. By appropriate abstractions and encoding it is frequently possible to encode these two dimensions within a single dimension, using a coding scheme to which we refer as “sticks and stones”. The method will be illustrated on parameterized versions of the Bakery and Peterson's algorithms for mutual exclusion. Among other things, we will show that, in some cases, we can use languages more expressive than regular expressions and still get manageable verification algorithms. This is, for example, the case of Peterson's algorithm for N processes, which cannot be analyzed in terms of purely regular expressions. |
| File Format | |
| ISBN | 1581133839 |
| DOI | 10.1145/383962.383971 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2001-08-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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