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基本説明
Contents: Characterizing Software Engineering Knowledge; Culturing Programs: Using Cultural Algorithms to Extreact Common Sense Knowledge about the Programming Process; and more.
Full Description
This is the first book that attempts to provide a framework in which to embed an automatic programming system based on evolutionary learning (genetic programming) into a traditional software engineering environment. As such, it looks at how traditional software engineering knowledge can be integrated with an evolutionary programming process in a symbiotic way.
Contents
SWEEP: A System for the Software Engineering of Evolving Programs - The Genetic Programming Element Agents - The Metrics Apprentice: Using Cultural Algorithms to Formulate Quality Metrics for Software Systems - An Example Problem for Automatic Programming: Solving the Noisy Sine Problem with Discipulus - Data Collection and Analysis - Analysis: The Relationship of Software Metrics to Bloat - Defining a New Software Metric to Estimate Generalization Using the Metrics Apprentice