In a down-to-the earth manner the volume lucidly presents how the fundamental concepts
methodology and algorithms of Computational Intelligence are efficiently exploited in Software
Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced
design of software artifacts. It shows how the paradigm and the best practices of Computational
Intelligence can be creatively explored to carry out comprehensive software requirement
analysis support design testing and maintenance.Software Engineering is an intensive
knowledge-based endeavor of inherent human-centric nature which profoundly relies on acquiring
semiformal knowledge and then processing it to produce a running system. The knowledge spans a
wide variety of artifacts from requirements captured in the interaction with customers to
design practices testing and code management strategies which rely on the knowledge of the
running system. This volume consists of contributions written by widely acknowledged experts in
the field who reveal how the Software Engineering benefits from the key foundations and
synergistically existing technologies of Computational Intelligence being focused on knowledge
representation learning mechanisms and population-based global optimization strategies.This
book can serve as a highly useful reference material for researchers software engineers and
graduate students and senior undergraduate students in Software Engineering and its
sub-disciplines Internet engineering Computational Intelligence management operations
research and knowledge-based systems.
