IT Crisisology: Smart Crisis Management in Software Engineering
Models, Methods, Patterns, Practices, Case Studies
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Beschreibung
This book focuses on crisis management in software development which includes forecasting, responding and adaptive engineering models, methods, patterns and practices. It helps the stakeholders in understanding and identifying the key technology, business and human factors that may result in a software production crisis. These factors are particularly important for the enterprise-scale applications, typically considered very complex in managerial and technological aspects and therefore, specifically addressed by the discipline of software engineering. Therefore, this book throws light on the crisis responsive, resilient methodologies and practices; therewith, it also focuses on their evolutionary changes and the resulting benefits.
This book focuses on crisis management in software development which includes forecasting, responding and adaptive engineering models, methods, patterns and practices. It helps the stakeholders in understanding and identifying the key technology, business and human factors that may result in a software production crisis. These factors are particularly important for the enterprise-scale applications, typically considered very complex in managerial and technological aspects and therefore, specifically addressed by the discipline of software engineering. Therefore, this book throws light on the crisis responsive, resilient methodologies and practices; therewith, it also focuses on their evolutionary changes and the resulting benefits.
Focuses on crisis management in software development Helps the stakeholders in understanding and identifying the key technology, business human factors that may likely result in a software production crisis Suggests case study-based approach
Autor*in
Sergey V. Zykov
Themen in »IT Crisisology: Smart Crisis Management in Software Engineering«
Crisis Management Software Engineering Agile Development Enterprise Engineering Human Resource Management Human Factor Application Case Study