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HOLÍK, L. JANKŮ, P. BUI PHI, D. CHEN, Y. LIN, H. WU, W. ABDULLA, P. ATIG, M.
Originální název
Efficient handling of string-number conversion
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
String-number conversion is an important class of constraints needed for the symbolic execution of string-manipulating programs. In particular solving string constraints with string-number conversion is necessary for the analysis of scripting languages such as JavaScript and Python, where string-number conversion is a part of the definition of the core semantics of these languages. However, solving this type of constraint is very challenging for the state-of-the-art solvers. We propose in this paper an approach that can efficiently support both string-number conversion and other common types of string constraints. Experimental results show that it significantly outperforms other state-of-the-art tools on benchmarks that involves string-number conversion.
Klíčová slova
String Solver, Formal Verification, Automata
Autoři
HOLÍK, L.; JANKŮ, P.; BUI PHI, D.; CHEN, Y.; LIN, H.; WU, W.; ABDULLA, P.; ATIG, M.
Vydáno
11. 6. 2020
Nakladatel
Association for Computing Machinery
Místo
New York
ISBN
978-1-4503-7613-6
Kniha
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation
Edice
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
Strany od
943
Strany do
957
Strany počet
15
URL
https://dl.acm.org/doi/10.1145/3385412.3386034
BibTex
@inproceedings{BUT169183, author="HOLÍK, L. and JANKŮ, P. and BUI PHI, D. and CHEN, Y. and LIN, H. and WU, W. and ABDULLA, P. and ATIG, M.", title="Efficient handling of string-number conversion", booktitle="Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation", year="2020", series="Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)", pages="943--957", publisher="Association for Computing Machinery", address="New York", doi="10.1145/3385412.3386034", isbn="978-1-4503-7613-6", url="https://dl.acm.org/doi/10.1145/3385412.3386034" }
Dokumenty
pldi2020.pdf