Agile Enterprise Engineering: Smart Application of Human Factors: Models, Methods, Practices, Case Studies

Автор: literator от 28-02-2020, 20:42, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Название: Agile Enterprise Engineering: Smart Application of Human Factors: Models, Methods, Practices, Case Studies
Автор: Sergey V. Zykov, Amitoj Singh
Издательство: Springer
Год: 2020
Страниц: 158
Язык: английский
Формат: pdf (true), epub
Размер: 26.3 MB

This concise book provides a survival toolkit for efficient, large-scale software development. Discussing a multi-contextual research framework that aims to harness human-related factors in order to improve flexibility, it includes a carefully selected blend of models, methods, practices, and case studies. To investigate mission-critical communication aspects in system engineering, it also examines diverse, i.e. cross-cultural and multinational, environments.

This book helps students better organize their knowledge bases, and presents conceptual frameworks, handy practices and case-based examples of agile development in diverse environments. Together with the authors’ previous books, "Crisis Management for Software Development and Knowledge Transfer" (2016) and "Managing Software Crisis: A Smart Way to Enterprise Agility" (2018), it constitutes a comprehensive reference resource adds value to this book.

Specifically, we consider the process and quality improvement approaches and lifecycles. Concerning the process frameworks for software development, we briefly discuss certain aspects of the “5A” model, DSDM, and DAD, and a number of other approaches such as:
• RUP (Rational Unified Process initiated by Rational Co. and later acquired/updated by IBM Corp.),
• MSF (Microsoft Solutions Framework, their de facto corporate standard),
• Scrum (a pioneering agile methodology incorporating techniques from sports and movie making),
• XP (Extreme Programming that originally failed for automobile production but was surprisingly successful in IT),
• Agile (one of the recent approaches that incorporates the merits of its predecessors).

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