{"id":167959,"date":"2015-02-01T00:00:00","date_gmt":"2015-02-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/ic-cut-a-compositional-search-strategy-for-dynamic-test-generation\/"},"modified":"2018-10-16T21:32:02","modified_gmt":"2018-10-17T04:32:02","slug":"ic-cut-a-compositional-search-strategy-for-dynamic-test-generation","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/ic-cut-a-compositional-search-strategy-for-dynamic-test-generation\/","title":{"rendered":"IC-Cut: A Compositional Search Strategy for Dynamic Test Generation"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We present IC-Cut, short for \u201cInterface-Complexity based Cut\u201d, a new compositional search strategy for systematically testing large programs. IC-Cut dynamically detects function interfaces that are simple enough to be cost-effective for summarization. IC-Cut then hierarchically decomposes the program into units defined by such functions and their sub-functions in the call graph. These units are tested independently, their test results are recorded as low-complexity function summaries, and the summaries are reused when testing higher-level functions in the call graph, thus limiting overall path explosion. When the decomposed units are tested exhaustively, they constitute verified components of the program. IC-Cut is run dynamically and on-the-fly during the search, typically refining cuts as the search advances. We have implemented this algorithm as a new search strategy in the whitebox fuzzer SAGE. We present detailed experimental results obtained when fuzzing the ANI Windows image parser. Our results show that IC-Cut alleviates path explosion while preserving or even increasing code coverage and bug finding compared to the current generationalsearch strategy used in SAGE.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present IC-Cut, short for \u201cInterface-Complexity based Cut\u201d, a new compositional search strategy for systematically testing large programs. IC-Cut dynamically detects function interfaces that are simple enough to be cost-effective for summarization. IC-Cut then hierarchically decomposes the program into units defined by such functions and their sub-functions in the call graph. These units are tested 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