Peer-Reviewed Journal Details
Mandatory Fields
Healy, A;Monahan, R;Power, JF
2017
January
Electronic Proceedings In Theoretical Computer Science
Predicting SMT Solver Performance for Software Verification
Published
0 ()
Optional Fields
BENCHMARKING
20
37
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.
SYDNEY
2075-2180
10.4204/EPTCS.240.2
Grant Details