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Healy, Andrew, Monahan, Rosemary and Power, James F. (2017) Predicting SMT Solver Performance for Software Verification. Electronic Proceedings in Theoretical Computer Science, 240. pp. 20-37. ISSN 2075-2180
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Abstract
The Why3 IDE and verification system facilitates the use of a wide range of Satisfiability Modulo Theories (SMT) solvers through a driver-based architecture. We present Where4: a portfolio-based approach to discharge Why3 proof obligations. We use data analysis and machine learning techniques on static metrics derived from program source code. Our approach benefits software engineers by providing a single utility to delegate proof obligations to the solvers most likely to return a useful result. It does this in a time-efficient way using existing Why3 and solver installations - without requiring low-level knowledge about SMT solver operation from the user.
| Item Type: | Article |
|---|---|
| Keywords: | Why3; Satisfiability ModuloTheories (SMT); Where4; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 11670 |
| Identification Number: | 10.4204/EPTCS.240.2 |
| Depositing User: | Rosemary Monahan |
| Date Deposited: | 12 Nov 2019 12:37 |
| Journal or Publication Title: | Electronic Proceedings in Theoretical Computer Science |
| Publisher: | Open Publishing Association |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/11670 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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