Targeted Test Input Generation using Symbolic-concrete Backward Execution
Title | Targeted Test Input Generation using Symbolic-concrete Backward Execution |
Publication Type | Conference Proceedings |
Year of Publication | 2014 |
Authors | Peter Dinges, University of Illinois at Urbana-Champaign, Gul Agha, University of Illinois at Urbana-Champaign |
Conference Name | 29th IEEE/ACM International Conference on Automated Software Engineering (ASE 2014) |
Publisher | ACM |
Conference Location | Västerås, Sweden |
Keywords | Concolic; Symcretic; Backward Execution; Goal-Directed, UIUC |
Abstract | Knowing inputs that cover a specific branch or statement in a program is useful for debugging and regression testing. Symbolic backward execution (SBE) is a natural approach to find such targeted inputs. However, SBE struggles with complicated arithmetic, external method calls, and data- dependent loops that occur in many real-world programs. We propose symcretic execution, a novel combination of SBE and concrete forward execution that can efficiently find targeted inputs despite these challenges. An evaluation of our approach on a range of test cases shows that symcretic execution finds inputs in more cases than concolic testing tools while exploring fewer path segments. Integration of our approach will allow test generation tools to fill coverage gaps and static bug detectors to verify candidate bugs with concrete test cases. |
URL | https://publish.illinois.edu/science-of-security-lablet/files/2014/06/Targeted-Test-Input-Generation... |
Citation Key | node-23464 |
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