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Software Architecture Knowledge Management : Theory and Practice, Paperback / softback Book

Software Architecture Knowledge Management : Theory and Practice Paperback / softback

Edited by Muhammad Ali Babar, Torgeir Dingsoyr, Patricia Lago, Hans van der Vliet

Paperback / softback

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A software architecture manifests the major early design decisions, which determine the system’s development, deployment and evolution.

Thus, making better architectural decisions is one of the large challenges in software engineering.

Software architecture knowledge management is about capturing practical experience and translating it into generalized architectural knowledge, and using this knowledge in the communication with stakeholders during all phases of the software lifecycle. This book presents a concise description of knowledge management in the software architecture discipline.

It explains the importance of sound knowledge management practices for improving software architecture processes and products, and makes clear the role of knowledge management in software architecture and software development processes.

It presents many approaches that are in use in software companies today, approaches that have been used in other domains, and approaches under development in academia.

After an initial introduction by the editors, the contributions are grouped in three parts on "Architecture Knowledge Management", "Strategies and Approaches for Managing Architectural Knowledge", and "Tools and Techniques for Managing Architectural Knowledge". The presentation aims at information technology and software engineering professionals, in particular software architects and software architecture researchers.

For the industrial audience, the book gives a broad and concise understanding of the importance of knowledge management for improving software architecture process and building capabilities in designing and evaluating better architectures for their mission- and business-critical systems.

For researchers, the book will help to understand the applications of various knowledge management approaches in an industrial setting and to identify research challenges and opportunities.

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