{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/predicting-smt-solver-performance-for","title":"Predicting SMT Solver Performance for Software Verification","arxiv_id":"1701.08466","date":"2017-01-30","proceeding":null,"authors":["Andrew Healy","Rosemary Monahan","James F. Power"],"abstract":"The Why3 IDE and verification system facilitates the use of a wide range of\nSatisfiability Modulo Theories (SMT) solvers through a driver-based\narchitecture. We present Where4: a portfolio-based approach to discharge Why3\nproof obligations. We use data analysis and machine learning techniques on\nstatic metrics derived from program source code. Our approach benefits software\nengineers by providing a single utility to delegate proof obligations to the\nsolvers most likely to return a useful result. It does this in a time-efficient\nway using existing Why3 and solver installations - without requiring low-level\nknowledge about SMT solver operation from the user.","url_abs":"http://arxiv.org/abs/1701.08466v1","url_pdf":"http://arxiv.org/pdf/1701.08466v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"predicting-smt-solver-performance-for","repo_url":"https://github.com/ahealy19/F-IDE-2016","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}