Introduction
Software guidelines have been with us in many forms within Software Engineering community such as knowledge, experiences, domain expertise, laws, software design principles, rules, design heuristics, hypothesis, experimental results, programming rules, best practices, observations, skills, algorithms have played major role in software development (guidelines based software engineering). Also there has been a significant development in new software paradigms such as components, agile, aspects, and services. How can we best use those 30 years of best practices in solving software related problems? There has been little evidence of automated approaches to the development of large scale systems and software reuse. The demands of Software Engineering imply a growing need for using Artificial Intelligence and Knowledge Engineering (KE) to support all aspects of the software development process. This book aims to provide insights into the application of knowledge based approaches to the development of software systems, agile software development, software product line, software components, software architecture, automated code generators, automated test case generations, intelligent systems supporting software reuse and productivity, domain-specific software modelling, automated requirements and semantic knowledge capturing techniques, intelligent software intensive devices and applications. In recent years there has been significant application of neural networks and genetic programming applied to software development for a variety of applications. This book also aims to identify how software development best practices captured as software guidelines can be represented to automated software development, decision making, and knowledge management.

Objective of the book
One of the main aims of this book is to bridge current state of the art between two major areas of knowledge engineering and software engineering. This book also aims to provide hands-on techniques and automation methods to faster software development activities supported by a range of KE techniques that can be employed. It also brings best practice guidelines for software development that can be encoded as knowledge and can be adopted them in everyday practice.

Target Audience
This book will be suitable for research communities, academics and well as practitioners.

Recommended Topics
This book welcomes chapters on a wide range of issues related to knowledge based activities supporting all aspects of software development. The general topics are of interest include KE supporting software requirements, guidelines, process & management, tools, metrics, quality, reuse, testing, and methods.

The coverage topics include, but are NOT limited to, the following: