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Temporal Costs of Computing Unit Redundancy in Steady and Transient State Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Managing Software Complexity with Power-Generics

Author : Stan Jarzabek

Published in: Towards a Synergistic Combination of Research and Practice in Software Engineering

Publisher: Springer International Publishing

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Abstract

Complexity of software quickly approaches the limits of what today’s programming paradigm can handle. Similarities (i.e., similar requirements, design solutions, as well as program structures) are inherent in software domain. In the paper, we discuss unexploited potentials of software similarities to ease management of complex software systems. We describe the concept of power-generics to exploit this potential. A key idea is meta-program level flexible parameterization, without restrictions of C++ templates or Java generics. To illustrate the concept, we discuss ART (Adaptive Reuse Technique) that extends conventional programming paradigms with an unconventional generative technique, in a synergistic and easy to adopt way. With ART, we illustrate general concepts discussed in the first part of the paper.

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previous chapter SIPE: A Domain-Specific Language for Specifying Interactive Programming Exercises
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Footnotes
1
System complexity if often measured in terms of the number of conceptual elements and relationships among them that must be understood in order to understand the system. It is this kind of cognitive complexity that we mean in the paper.
 
2
All quotes in this section refer to [4].
 
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2.
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Metadata
Title
Managing Software Complexity with Power-Generics
Author
Stan Jarzabek
Copyright Year
2018
Book
Towards a Synergistic Combination of Research and Practice in Software Engineering

Print ISBN: 978-3-319-65207-8

Electronic ISBN: 978-3-319-65208-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-65208-5_3

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