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Symbolic execution with mixed concrete-symbolic solving

Published: 17 July 2011 Publication History
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  • Abstract

    Symbolic execution is a powerful static program analysis technique that has been used for the automated generation of test inputs. Directed Automated Random Testing (DART) is a dynamic variant of symbolic execution that initially uses random values to execute a program and collects symbolic path conditions during the execution. These conditions are then used to produce new inputs to execute the program along different paths. It has been argued that DART can handle situations where classical static symbolic execution fails due to incompleteness in decision procedures and its inability to handle external library calls.
    We propose here a technique that mitigates these previous limitations of classical symbolic execution. The proposed technique splits the generated path conditions into (a) constraints that can be solved by a decision procedure and (b) complex non-linear constraints with uninterpreted functions to represent external library calls. The solutions generated from the decision procedure are used to simplify the complex constraints and the resulting path conditions are checked again for satisfiability. We also present heuristics that can further improve our technique. We show how our technique can enable classical symbolic execution to cover paths that other dynamic symbolic execution approaches cannot cover. Our method has been implemented within the Symbolic PathFinder tool and has been applied to several examples, including two from the NASA domain.

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    cover image ACM Conferences
    ISSTA '11: Proceedings of the 2011 International Symposium on Software Testing and Analysis
    July 2011
    394 pages
    ISBN:9781450305624
    DOI:10.1145/2001420
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 17 July 2011

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    Author Tags

    1. DART
    2. constraint solving
    3. symbolic execution
    4. test case generation

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    • (2022)Synergizing Symbolic Execution and Fuzzing By Function-level Selective Symbolization2022 29th Asia-Pacific Software Engineering Conference (APSEC)10.1109/APSEC57359.2022.00045(328-337)Online publication date: Dec-2022
    • (2022)Optimal Refinement-based Array Constraint Solving for Symbolic Execution2022 29th Asia-Pacific Software Engineering Conference (APSEC)10.1109/APSEC57359.2022.00042(299-308)Online publication date: Dec-2022
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