Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-22110-1_23
Title: A specialization calculus for pruning disjunctive predicates to support verification
Authors: Chin, W.-N. 
Gherghina, C.
Voicu, R. 
Le, Q.L.
Craciun, F. 
Qin, S.
Issue Date: 2011
Source: Chin, W.-N.,Gherghina, C.,Voicu, R.,Le, Q.L.,Craciun, F.,Qin, S. (2011). A specialization calculus for pruning disjunctive predicates to support verification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6806 LNCS : 293-309. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-22110-1_23
Abstract: Separation logic-based abstraction mechanisms, enhanced with user-defined inductive predicates, represent a powerful, expressive means of specifying heap-based data structures with strong invariant properties. However, expressive power comes at a cost: the manipulation of such logics typically requires the unfolding of disjunctive predicates which may lead to expensive proof search. We address this problem by proposing a predicate specialization technique that allows efficient symbolic pruning of infeasible disjuncts inside each predicate instance. Our technique is presented as a calculus whose derivations preserve the satisfiability of formulas, while reducing the subsequent cost of their manipulation. Initial experimental results have confirmed significant speed gains from the deployment of predicate specialization. While specialization is a familiar technique for code optimization, its use in program verification is new. © 2011 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/42073
ISBN: 9783642221095
ISSN: 03029743
DOI: 10.1007/978-3-642-22110-1_23
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Dec 13, 2017

Page view(s)

55
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.