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Empirical Software Engineering Models: Can They Become the Equivalent of Physical Laws in Traditional Engineering? Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Skating to Where the Puck Is Going: Future Systems and Software Engineering Opportunities and Challenges

Author : Barry Boehm

Published in: Perspectives on the Future of Software Engineering

Publisher: Springer Berlin Heidelberg

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Abstract

This paper provides an update and extension of a 2005 paper on The Future of Systems and Software Engineering Processes. Some of its challenges and opportunities are similar, such as the need to simultaneously achieve high levels of both agility and assurance. Others have emerged as increasingly important, such as the opportunities and challenges of dealing with smart systems involving ultralarge volumes of data; with multicore chips; with social networking services; and with cloud computing or software as a service. The paper is organized around eight relatively surprise-free trends and two “wild cards” whose trends and implications are harder to foresee. The eight surprise-free trends are:
1.
Increasing emphasis on rapid development and adaptability;
 
2.
Increasing software criticality and need for assurance;
 
3.
Increased complexity, global systems of systems, and need for scalability and interoperability;
 
4.
Increased needs to accommodate COTS, software services, and legacy systems;
 
5.
Smart systems with increasingly large volumes of data and ways to learn from them;
 
6.
Increased emphasis on users, social networking services, web applications, and end value;
 
7.
Computational plenty and multicore chips;
 
8.
Increasing integration of software and systems engineering. The two wild-card trends are:
 
9.
Increasing software autonomy; and
 
10.
Combinations of biology and computing.
 

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Metadata
Title
Skating to Where the Puck Is Going: Future Systems and Software Engineering Opportunities and Challenges
Author
Barry Boehm
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Perspectives on the Future of Software Engineering

Print ISBN: 978-3-642-37394-7

Electronic ISBN: 978-3-642-37395-4

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-37395-4_19

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