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JDart: Dynamic Symbolic Execution for Java Bytecode (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 constraint solver is then used for generating new concrete values from recorded constraints that drive execution along previously un...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480698/ http://dx.doi.org/10.1007/978-3-030-45237-7_28 |
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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 constraint solver is then used for generating new concrete values from recorded constraints that drive execution along previously unexplored paths. JDart is built on top of the Java PathFinder software model checker and uses the JConstraints library for the integration of constraint solvers. |
format | Online Article Text |
id | pubmed-7480698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-74806982020-09-10 JDart: Dynamic Symbolic Execution for Java Bytecode (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 constraint solver is then used for generating new concrete values from recorded constraints that drive execution along previously unexplored paths. JDart is built on top of the Java PathFinder software model checker and uses the JConstraints library for the integration of constraint solvers. 2020-03-13 /pmc/articles/PMC7480698/ http://dx.doi.org/10.1007/978-3-030-45237-7_28 Text en © The Author(s) 2020 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: Dynamic Symbolic Execution for Java Bytecode (Competition Contribution) |
title | JDart: Dynamic Symbolic Execution for Java Bytecode (Competition Contribution) |
title_full | JDart: Dynamic Symbolic Execution for Java Bytecode (Competition Contribution) |
title_fullStr | JDart: Dynamic Symbolic Execution for Java Bytecode (Competition Contribution) |
title_full_unstemmed | JDart: Dynamic Symbolic Execution for Java Bytecode (Competition Contribution) |
title_short | JDart: Dynamic Symbolic Execution for Java Bytecode (Competition Contribution) |
title_sort | jdart: dynamic symbolic execution for java bytecode (competition contribution) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480698/ http://dx.doi.org/10.1007/978-3-030-45237-7_28 |
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