JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)

JDart performs dynamic symbolic execution of Java programs: it executes programs with concrete inputs while recording symbolic constraints on executed program paths. A portfolio of constraint solvers is then used for generating new concrete values from recorded constraints that drive execution along...

Descripción completa

Detalles Bibliográficos
Autores principales: Mues, Malte, Howar, Falk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984567/
http://dx.doi.org/10.1007/978-3-030-72013-1_30
_version_ 1783668092951330816
author Mues, Malte
Howar, Falk
author_facet Mues, Malte
Howar, Falk
author_sort Mues, Malte
collection PubMed
description JDart performs dynamic symbolic execution of Java programs: it executes programs with concrete inputs while recording symbolic constraints on executed program paths. A portfolio of constraint solvers is then used for generating new concrete values from recorded constraints that drive execution along previously unexplored paths. For SV-COMP 2021, we improved JDart by implementing exploration strategies, bounded analysis, and path-specific constraint solving strategies, as well as by enabling the use of SMT-Lib string theory for encoding of string operations.
format Online
Article
Text
id pubmed-7984567
institution National Center for Biotechnology Information
language English
publishDate 2021
record_format MEDLINE/PubMed
spelling pubmed-79845672021-03-23 JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution) Mues, Malte Howar, Falk Tools and Algorithms for the Construction and Analysis of Systems Article JDart performs dynamic symbolic execution of Java programs: it executes programs with concrete inputs while recording symbolic constraints on executed program paths. A portfolio of constraint solvers is then used for generating new concrete values from recorded constraints that drive execution along previously unexplored paths. For SV-COMP 2021, we improved JDart by implementing exploration strategies, bounded analysis, and path-specific constraint solving strategies, as well as by enabling the use of SMT-Lib string theory for encoding of string operations. 2021-02-26 /pmc/articles/PMC7984567/ http://dx.doi.org/10.1007/978-3-030-72013-1_30 Text en © The Author(s) 2021 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Mues, Malte
Howar, Falk
JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)
title JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)
title_full JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)
title_fullStr JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)
title_full_unstemmed JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)
title_short JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)
title_sort jdart: portfolio solving, breadth-first search and smt-lib strings (competition contribution)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984567/
http://dx.doi.org/10.1007/978-3-030-72013-1_30
work_keys_str_mv AT muesmalte jdartportfoliosolvingbreadthfirstsearchandsmtlibstringscompetitioncontribution
AT howarfalk jdartportfoliosolvingbreadthfirstsearchandsmtlibstringscompetitioncontribution

Ejemplares similares