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Managing Software Crisis: A Smart Way to Enterprise Agility

  • Book
  • © 2018

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

  • Higher School of Economics, National Research University, Moscow, Russia

    Sergey V. Zykov

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

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