Zykov, Sergey V.
Managing Software Crisis: A Smart Way to Enterprise Agility [electronic resource] / - 1st ed. 2018. - XXII, 153 p. 46 illus., 36 illus. in color. | Binding - Card Paper | - Smart Innovation, Systems and Technologies, 92 2190-3018 ; . - Smart Innovation, Systems and Technologies, 92 .
This book discusses smart, agile software development methods and their applications for enterprise crisis management, presenting a systematic approach that promotes agility and crisis management in software engineering. The key finding is that these crises are caused by both technology-based and human-related factors. Being mission-critical, human-related issues are often neglected. To manage the crises, the book suggests an efficient agile methodology including a set of models, methods, patterns, practices and tools. Together, these make a survival toolkit for large-scale software development in crises. Further, the book analyses lifecycles and methodologies focusing on their impact on the project timeline and budget, and incorporates a set of industry-based patterns, practices and case studies, combining academic concepts and practices of software engineering.
9783319779171
Computer Engineering
Computational Intelligence. Artificial Intelligence. Software Engineering.
006.3
Managing Software Crisis: A Smart Way to Enterprise Agility [electronic resource] / - 1st ed. 2018. - XXII, 153 p. 46 illus., 36 illus. in color. | Binding - Card Paper | - Smart Innovation, Systems and Technologies, 92 2190-3018 ; . - Smart Innovation, Systems and Technologies, 92 .
This book discusses smart, agile software development methods and their applications for enterprise crisis management, presenting a systematic approach that promotes agility and crisis management in software engineering. The key finding is that these crises are caused by both technology-based and human-related factors. Being mission-critical, human-related issues are often neglected. To manage the crises, the book suggests an efficient agile methodology including a set of models, methods, patterns, practices and tools. Together, these make a survival toolkit for large-scale software development in crises. Further, the book analyses lifecycles and methodologies focusing on their impact on the project timeline and budget, and incorporates a set of industry-based patterns, practices and case studies, combining academic concepts and practices of software engineering.
9783319779171
Computer Engineering
Computational Intelligence. Artificial Intelligence. Software Engineering.
006.3