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HOLÍK, L. ABDULLA, P. ATIG, M. BUI PHI, D. CHEN, Y. REZINE, A. RUMMER, P.
Originální název
Flatten and conquer: a framework for efficient analysis of string constraints
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
We describe a uniform and efficient framework for checking the satisfiability of a large class of string constraints. The framework is based on the observation that both satisfiability and unsatisfiability of common constraints can be demonstrated through witnesses with simple patterns. These patterns are captured using flat automata each of which consists of a sequence of simple loops. We build a Counter-Example Guided Abstraction Refinement (CEGAR) framework which contains both an under- and an over-approximation module. The flow of information between the modules allows to increase the precision in an automatic manner. We have implemented the framework as a tool and performed extensive experimentation that demonstrates both the generality and efficiency of our method.
Klíčová slova
Automata Theory, Formal Verification, String Equation
Autoři
HOLÍK, L.; ABDULLA, P.; ATIG, M.; BUI PHI, D.; CHEN, Y.; REZINE, A.; RUMMER, P.
Vydáno
18. 6. 2017
Nakladatel
Association for Computing Machinery
Místo
New York
ISBN
978-1-4503-4988-8
Kniha
Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation
Edice
ACM
Strany od
602
Strany do
617
Strany počet
16
URL
https://dl.acm.org/citation.cfm?doid=3062341.3062384
BibTex
@inproceedings{BUT146274, author="Lukáš {Holík} and Parosh {Abdulla} and Mohamed {Atig} and Diep {Bui Phi} and Yu-Fang {Chen} and Ahmed {Rezine} and Philipp {Rummer}", title="Flatten and conquer: a framework for efficient analysis of string constraints", booktitle="Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation", year="2017", series="ACM", pages="602--617", publisher="Association for Computing Machinery", address="New York", doi="10.1145/3062341.3062384", isbn="978-1-4503-4988-8", url="https://dl.acm.org/citation.cfm?doid=3062341.3062384" }