A New Suite of Metrics for Object-Oriented Software

نویسندگان

  • Cara Stein
  • Letha H. Etzkorn
  • Glenn W. Cox
  • Phillip A. Farrington
  • Sampson Gholston
  • Dawn R. Utley
  • Julie Fortune
چکیده

Software practitioners need to be able to assess the quality of their software, and metrics provide an automated way to do that. Traditional software metrics count aspects of code related to its syntax. In contrast, semantic metrics, introduced by Etzkorn and Delugach, count things related to the meaning of software in its domain. Because semantic metrics do not depend on the structure of the code, they can be calculated from requirements and design documents before implementation. This paper introduces and validates a suite of new semantic metrics. These metrics measure aspects of the quality of object-oriented software and can be computed from source code or from design specifications.

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تاریخ انتشار 2004