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DOI: 10.4230/OASIcs.Gabbrielli.7
URN: urn:nbn:de:0030-drops-132294
URL: https://drops.dagstuhl.de/opus/volltexte/2020/13229/
Amadini, Roberto ; Gange, Graeme ; Schachte, Peter ; Søndergaard, Harald ; Stuckey, Peter J.
Abstract Interpretation, Symbolic Execution and Constraints
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Abstract
Abstract interpretation is a static analysis framework for sound over-approximation of all possible runtime states of a program. Symbolic execution is a framework for reachability analysis which tries to explore all possible execution paths of a program. A shared feature between abstract interpretation and symbolic execution is that each - implicitly or explicitly - maintains constraints during execution, in the form of invariants or path conditions. We investigate the relations between the worlds of abstract interpretation, symbolic execution and constraint solving, to expose potential synergies.
BibTeX - Entry
@InProceedings{amadini_et_al:OASIcs:2020:13229,
author = {Roberto Amadini and Graeme Gange and Peter Schachte and Harald S{\o}ndergaard and Peter J. Stuckey},
title = {{Abstract Interpretation, Symbolic Execution and Constraints}},
booktitle = {Recent Developments in the Design and Implementation of Programming Languages},
pages = {7:1--7:19},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-95977-171-9},
ISSN = {2190-6807},
year = {2020},
volume = {86},
editor = {Frank S. de Boer and Jacopo Mauro},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/13229},
URN = {urn:nbn:de:0030-drops-132294},
doi = {10.4230/OASIcs.Gabbrielli.7},
annote = {Keywords: Abstract interpretation, symbolic execution, constraint solving, dynamic analysis, static analysis}
}
| Keywords: | Abstract interpretation, symbolic execution, constraint solving, dynamic analysis, static analysis | |
| Seminar: | Recent Developments in the Design and Implementation of Programming Languages | |
| Issue date: | 2020 | |
| Date of publication: | 27.11.2020 |
