Abstract
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
Generalisation Using the Metrics Apprentice
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