This paper considers finite-automata based algorithms for handling linear arithmetic with both real and integer variables. Previous work has shown that this theory can be dealt with by using finite automata on infinite words, but this involves some difficult and delicate to implement algorithms. The contribution of this paper is to show, using topological arguments, that only a restricted class of automata on infinite words are necessary for handling real and integer linear arithmetic. This allows the use of substantially simpler algorithms, which have been successfully implemented.

~re study the verification of properties of communication protocols modeled by a finite set of finite-state machines that communicate by exchanging messages via unbounded FIFO queues. It is well-known that most interesting verification problems, such as deadlock detection, are undecidable for this class of systems. However, in practice, these verification problems may very well turn out to be decidable for a subclass containing most "real" protocols. Motivated by this optimistic (and, we claim, realistic) observation, we present an algorithm that may construct a finite and exact representation of the state space of a communication protocol, even if this state space is infinite. Our algorithm performs a loop.first search in the state space of the protocol being analyzed. A loop-first search is a search technique that attempts to explore first the results of successive executions of loops in the protocol description (code). A new data structure named Queue-con~ent Decision Diagram (QDD) is introduced for representing (possibly infinite) sets of queue-contents. Operations for manipulating QDDs during a loop-first search are presented. A loop-first search using QDDs has been implemented, and experiments on several communication protocols with infinite state spaces have been performed. For these examples, our tool completed its search, and produced a finite symbolic representation for these infinite state spaces.

Checking infinite-state systems is frequently done by encoding infinite sets of states as regular languages. Computing such a regular representation of, say, the reachable set of states of a system requires acceleration techniques that can finitely compute the effect of an unbounded number of transitions. Among the acceleration techniques that have been proposed, one finds both specific and generic techniques. Specific techniques exploit the particular type of system being analyzed, e.g. a system manipulating queues or integers, whereas generic techniques only assume that the transition relation is represented by a finite-state transducer, which has to be iterated. In this paper, we investigate the possibility of using generic techniques in cases where only specific techniques have been exploited so far. Finding that existing generic techniques are often not applicable in cases easily handled by specific techniques, we have developed a new approach to iterating transducers. This new approach builds on earlier work, but exploits a number of new conceptual and algorithmic ideas, often induced with the help of experiments, that give it a broad scope, as well as good performance.

Abstract. This paper presents an overview of algorithms for constructing automata from linear arithmetic constraints. It identifies one case in which the special structure of the automata that are constructed allows a linear-time determinization procedure to be used. Furthermore, it shows through theoretical analysis and experiments that the special structure of the constructed automata does, in quite a general way, render the usual upper bounds on automata operations vastly overpessimistic.

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Thanks to the development of a number of efficiency enhancing techniques, state-space exploration based verification, and in particular model checking, has been quite successful for finite-state systems. This has prompted efforts to apply a similar approach to systems with infinite state spaces. Doing so amounts to developing algorithms for computing a symbolic representation of the infinite state space, as opposed to requiring the user to characterize the state space by assertions. Of course, in most cases, this can only be done at the cost of forgoing any general guarantee of success. The goal of this paper is to survey a number of results in this area and to show that a surprisingly common characteristic of the systems that can be analyzed with this approach is that their state space can be represented as a regular language.* "Charg@ de Recherches" (Post-Doctoral Researcher) for the National Fund for Scientific Research (Belgium).

Symbolic approaches attack the state explosion problem by introducing implicit representations that allow the simultaneous manipulation of large sets of states. The most commonly used representation in this context is the Binary Decision Diagram (BDD). This paper takes the point of view that other structures than BDD's can be useful for representing sets of values, and that combining implicit and explicit representations can be fruitful. It introduces a representation of complex periodic sets of integer values, shows how this representation can be manipulated, and describes its application to the state-space exploration of protocols. Preliminary experimental results indicate that the method can dramatically reduce the resources required for state-space exploration.

This paper considers finite-automata based algorithms for handling linear arithmetic with both real and integer variables. Previous work has shown that this theory can be dealt with by using finite automata on infinite words, but this involves some difficult and delicate to implement algorithms. The contribution of this paper is to show, using topological arguments, that only a restricted class of automata on infinite words are necessary for handling real and integer linear arithmetic. This allows the use of substantially simpler algorithms and opens the path to the implementation of a usable system for handling this combined theory.⋆ This work was partially funded by a grant of the "Communauté française de Belgique -Direction de la recherche scientifique -Actions de recherche concertées".