Overview
- Focuses on crisis management in software production
- Identifies the primary reasons for the software crisis
- Analyses the so-called “human factor errors” resulting from crisis conditions, and the non-systematic software lifecycle
- Highlights the knowledge transfer issues in software-related projects
- Outlines efficient methods for software-related project lifecycles
- Offers troubleshooting advice
Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 92)
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Table of contents (4 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Managing Software Crisis: A Smart Way to Enterprise Agility
Authors: Sergey V. Zykov
Series Title: Smart Innovation, Systems and Technologies
DOI: https://doi.org/10.1007/978-3-319-77917-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-77916-4Published: 04 May 2018
Softcover ISBN: 978-3-030-08573-5Published: 05 January 2019
eBook ISBN: 978-3-319-77917-1Published: 20 April 2018
Series ISSN: 2190-3018
Series E-ISSN: 2190-3026
Edition Number: 1
Number of Pages: XXII, 153
Number of Illustrations: 10 b/w illustrations, 36 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Software Engineering