Through its identification and exploration of software development practices, captured as software guidelines that can be represented to automated software development, decision making, and knowledge management, this brings industry and academia together to address the need for the growing applications and supporting knowledge-based approaches to software development.

Software exists in a wide array of products, ranging from toys, entertainment systems, medical systems, and home appliances to large-scale products such as aircraft and communication systems. Knowledge Engineering for Software Development Life Cycles: Support Technologies and Applications bridges the best practices and design principles successfully employed over last two decades with modern Knowledge Engineering (KE), which has provided some of the most valuable techniques and tools to support encoding knowledge and experiences. Through its identification and exploration of software development practices, captured as software guidelines that can be represented to automated software development, decision making, and knowledge management, this book brings industry and academia together to address the need for the growing applications and supporting knowledge-based approaches to software development.