度量学徒:使用文化算法为软件系统制定质量度量

G. S. Cowan, R. Reynolds
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引用次数: 2

摘要

Metrics学徒用一种进化计算的形式处理软件质量概念的领域知识库,以便为一个限定的应用程序或软件开发环境学习软件度量。所使用的进化计算方法,即文化算法,使用关于个体群体成员表现的信念来增强进化学习过程。在Metrics学徒中,这些信念是领域知识库的集成部分,并且那些在学习过程中最有用的信念会在未来的学习任务中被重用。对软件质量问题和概念领域进行编码的语义网络使用可扩展的大纲的扩展来显示,称为大纲知识显示。
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The Metrics Apprentice: using cultural algorithms to formulate quality metrics for software systems
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.
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