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
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