Affiliations: University of Chieti-Pescara, Viale Pindaro 42, 65127 Pescara, Italy. [email protected] | University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy. [email protected] | IASI-CNR, Viale Manzoni 30, 00185 Rome, Italy. [email protected] | IMT Institute for Advanced Studies Lucca, Piazza San Ponziano 6, 55100 Lucca, Italy. [email protected]
Note: [] Address for correspondence: IMT Institute for Advanced Studies Lucca, Piazza San Ponziano 6, 55100 Lucca, Italy
Abstract: Program specialization has been proposed as a means of improving constraint-based analysis of infinite state reactive systems. In particular, safety properties can be specified by constraint logic programs encoding (backward or forward) reachability algorithms. These programs are then transformed, before their use for checking safety, by specializing them with respect to the initial states (in the case of backward reachability) or with respect to the unsafe states (in the case of forward reachability). By using the specialized reachability programs, we can considerably increase the number of successful verifications. An important feature of specialization algorithms is the so called polyvariance, that is, the number of specialized variants of the same predicate that are introduced by specialization. Depending on this feature, the specialization time, the size of the specialized program, and the number of successful verifications may vary. We present a specialization framework which is more general than previous proposals and provides control on polyvariance. We demonstrate, through experiments on several infinite state reactive systems, that by a careful choice of the degree of polyvariance we can design specialization-based verification procedures that are both efficient and precise.
Keywords: Program specialization, constraint logic programming, polyvariance, generalization, verification of infinite state reactive systems, unfold/fold transformation
