{"id":168251,"date":"2015-07-01T00:00:00","date_gmt":"2015-07-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/angelic-verification-precise-verification-modulo-unknowns\/"},"modified":"2018-10-16T20:11:44","modified_gmt":"2018-10-17T03:11:44","slug":"angelic-verification-precise-verification-modulo-unknowns","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/angelic-verification-precise-verification-modulo-unknowns\/","title":{"rendered":"Angelic Verification: Precise Verification Modulo Unknowns"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Verification of open programs can be challenging in the presence of an unconstrained environment. Verifying properties that depend on the environment yields a large class of uninteresting false alarms. Using a verifier on a program thus requires extensive initial investment in modeling the environment of the program. We propose a technique called <em>angelic verification<\/em> for verification of open programs, where we constrain a verifier to report warnings only when no acceptable environment specification exists to prove the assertion. Our framework is parametric in a vocabulary and a set of angelic assertions that allows a user to configure the tool. We describe several instantiations of the framework and an evaluation on a set of real-world benchmarks to show that our technique is competitive with industrial-strength tools even without models of the environment.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Verification of open programs can be challenging in the presence of an unconstrained environment. Verifying properties that depend on the environment yields a large class of uninteresting false alarms. Using a verifier on a program thus requires extensive initial investment in modeling the environment of the program. We propose a technique called angelic verification for [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13560],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-168251","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-programming-languages-software-engineering","msr-locale-en_us"],"msr_publishername":"Springer","msr_edition":"Computer Aided Verification 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