• DocumentCode
    3057528
  • Title

    The Metrics Apprentice: using cultural algorithms to formulate quality metrics for software systems

  • Author

    Cowan, George S. ; Reynolds, Robert G.

  • Author_Institution
    George S. Cowan & Assoc., Ypsilanti, MI, USA
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Abstract
    The Metrics Apprentice processes a domain knowledge base of software quality concepts with a form of evolutionary computation in order to learn software metrics for a delimited application or software development environment. The evolutionary computation method that is used, the Cultural Algorithm, uses beliefs about the performance of individual population members in order to enhance the evolutionary learning process. In the Metrics Apprentice, these beliefs are an integrated part of the domain knowledge base, and the ones that are most useful in the learning process persist for reuse in future learning tasks. The semantic network that encodes the domain of software quality issues and concepts is displayed using an extension of expandable outlines called the Outline Knowledge Display
  • Keywords
    belief maintenance; evolutionary computation; learning (artificial intelligence); semantic networks; software metrics; software quality; Metrics Apprentice; Outline Knowledge Display; cultural algorithms; delimited application; domain knowledge base; evolutionary computation; evolutionary computation method; evolutionary learning process; expandable outlines; future learning tasks; learning process; population members; quality metrics; semantic network; software development environment; software quality concepts; software quality issues; software systems; Application software; Cultural differences; Displays; Evolutionary computation; Genetic programming; Learning systems; Software algorithms; Software metrics; Software quality; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-5536-9
  • Type

    conf

  • DOI
    10.1109/CEC.1999.785474
  • Filename
    785474