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Symbolic PathFinder: symbolic execution of Java bytecode

Authors:

Corina S. Păsăreanu,

Neha RungtaAuthors Info & Claims

ASE '10: Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering

Pages 179 - 180

https://doi.org/10.1145/1858996.1859035

Published: 20 September 2010 Publication History

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Abstract

Symbolic Pathfinder (SPF) combines symbolic execution with model checking and constraint solving for automated test case generation and error detection in Java programs with unspecified inputs. In this tool, programs are executed on symbolic inputs representing multiple concrete inputs. Values of variables are represented as constraints generated from the analysis of Java bytecode. The constraints are solved using off-the shelf solvers to generate test inputs guaranteed to achieve complex coverage criteria. SPF has been used successfully at NASA, in academia, and in industry.

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Cited By

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Wu YHumayun AGulzar MKim M(2024)Natural Symbolic Execution-Based Testing for Big Data AnalyticsProceedings of the ACM on Software Engineering10.1145/36608251:FSE(2677-2700)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660825
Yi QYu YYang G(2024)Compatible Branch Coverage Driven Symbolic Execution for Efficient Bug FindingProceedings of the ACM on Programming Languages10.1145/36564438:PLDI(1633-1655)Online publication date: 20-Jun-2024
https://dl.acm.org/doi/10.1145/3656443
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Symbolic PathFinder: symbolic execution of Java bytecode

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Information

Published In

ASE '10: Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering

September 2010

534 pages

ISBN:9781450301169

DOI:10.1145/1858996

General Chair:
Charles Pecheur
Université catholique de Louvain, Belgium
,
Program Chairs:
Jamie Andrews
University of Western Ontario, Canada
,
Elisabetta Di Nitto
Politecnico di Milano, Italy

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Published: 20 September 2010

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September 20 - 24, 2010

Antwerp, Belgium

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Wu YHumayun AGulzar MKim M(2024)Natural Symbolic Execution-Based Testing for Big Data AnalyticsProceedings of the ACM on Software Engineering10.1145/36608251:FSE(2677-2700)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660825
Yi QYu YYang G(2024)Compatible Branch Coverage Driven Symbolic Execution for Efficient Bug FindingProceedings of the ACM on Programming Languages10.1145/36564438:PLDI(1633-1655)Online publication date: 20-Jun-2024
https://dl.acm.org/doi/10.1145/3656443
Hu GWang ZTang CShen JDong ZYao SChen H(2024)WeBridge: Synthesizing Stored Procedures for Large-Scale Real-World Web ApplicationsProceedings of the ACM on Management of Data10.1145/36393192:1(1-29)Online publication date: 26-Mar-2024
https://dl.acm.org/doi/10.1145/3639319
Yang MLie DPapernot N(2024)Exploring Strategies for Guiding Symbolic Analysis with Machine Learning Prediction2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER60148.2024.00073(659-669)Online publication date: 12-Mar-2024
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Liu XYu PMa X(2024)An Empirical Study on Automated Test Generation Tools for Java: Effectiveness and ChallengesJournal of Computer Science and Technology10.1007/s11390-023-1935-539:3(715-736)Online publication date: 1-May-2024
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Zhang GShuai ZMa KLiu KChen ZWang J(2024)FDSE: Enhance Symbolic Execution by Fuzzing-based Pre-Analysis (Competition Contribution)Fundamental Approaches to Software Engineering10.1007/978-3-031-57259-3_16(304-308)Online publication date: 6-Apr-2024
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