Impact of Code Complexity On Software Analysis

نویسندگان

  • Charles D. De Oliveira
  • Elizabeth Fong
  • Paul E. Black
چکیده

The Software Assurance Metrics and Tool Evaluation (SAMATE) team studied thousands of warnings from static analyzers. Tools have difficulty distinguishing between the absence of a weakness and the presence of a weakness that is buried in otherwise-irrelevant code elements. This paper presents classes of these code elements, which we call “code complexities.” They have been present in software assurance as part of test cases generation strategy when evaluating static analyzers. Benefits of using code complexity include the development of coding guidelines, boosting diversification of test cases.

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تاریخ انتشار 2017