{"id":160503,"date":"2008-01-01T00:00:00","date_gmt":"2008-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/loop-summarization-using-abstract-transformers\/"},"modified":"2018-10-16T20:19:57","modified_gmt":"2018-10-17T03:19:57","slug":"loop-summarization-using-abstract-transformers","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/loop-summarization-using-abstract-transformers\/","title":{"rendered":"Loop Summarization using Abstract Transformers"},"content":{"rendered":"<p align=\"LEFT\">Existing program analysis tools that implement abstraction rely on saturating procedures to compute over-approximations of fixpoints. As an alternative, we propose a new algorithm to compute an over-approximation of the set of reachable states of a program by replacing loops in the control flow graph by their abstract transformer. Our technique is able to generate diagnostic information in case of property violations, which we call leaping counterexamples. We have implemented this technique and report experimental results on a set of large ANSIC programs using abstract domains that focus on properties related to string-buffers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Existing program analysis tools that implement abstraction rely on saturating procedures to compute over-approximations of fixpoints. As an alternative, we propose a new algorithm to compute an over-approximation of the set of reachable states of a program by replacing loops in the control flow graph by their abstract transformer. 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