{"id":267396,"date":"2016-09-15T03:18:31","date_gmt":"2016-09-15T10:18:31","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=267396"},"modified":"2018-10-16T20:54:03","modified_gmt":"2018-10-17T03:54:03","slug":"inferring-annotations-device-drivers-verification-histories-2","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/inferring-annotations-device-drivers-verification-histories-2\/","title":{"rendered":"Inferring Annotations For Device Drivers From Verification Histories"},"content":{"rendered":"
This paper studies and optimizes automated program verification. Detailed reasoning about software behavior is often facilitated by program invariants that hold across all program executions. Finding program invariants is in fact an essential step in automated program verification. Automatic discovery of precise invariants, however, can be very difficult in practice. 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