research-article

Coevolution of information ecosystems: a study of the statistical relations among the growth rates of hardware, system software, and application software

Author:

Liguo YuAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 36, Issue 6

Pages 1 - 5

https://doi.org/10.1145/2047414.2047435

Published: 14 November 2011 Publication History

Abstract

With the increasing use of information technology, information ecosystems have emerged. Information ecosystems not only include software products, but also include hardware products. For example, application software depends on system software, and both application software and system software depend on hardware devices. Together, they play important roles in an information ecosystem. This paper analyzes the coevolution of information ecosystem, where three representatives of computer hardware, system software, and application software products are studied. Specifically, we analyze (1) the growth rate of Intel processors, Linux operating systems, and Apache web servers; and (2) the statistical relations among the evolution of Intel processors, Linux operating systems, and Apache web servers. Our study finds that a system software product grows slower than its supporting hardware products and a application software product grows slower than its supporting system software and hardware products.

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Cited By

Koot MWijnhoven F(2021)Usage impact on data center electricity needs: A system dynamic forecasting modelApplied Energy10.1016/j.apenergy.2021.116798291(116798)Online publication date: Jun-2021
https://doi.org/10.1016/j.apenergy.2021.116798
Ma WChen LZhou YXu B(2016)What Are the Dominant Projects in the GitHub Python Ecosystem?2016 Third International Conference on Trustworthy Systems and their Applications (TSA)10.1109/TSA.2016.23(87-95)Online publication date: Sep-2016
https://doi.org/10.1109/TSA.2016.23
Manikas K(2016)Revisiting software ecosystems ResearchJournal of Systems and Software10.1016/j.jss.2016.02.003117:C(84-103)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.jss.2016.02.003
Show More Cited By

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Coevolution of information ecosystems: a study of the statistical relations among the growth rates of hardware, system software, and application software

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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 36, Issue 6

November 2011

117 pages

ISSN:0163-5948

DOI:10.1145/2047414

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Copyright © 2011 Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 14 November 2011

Published in SIGSOFT Volume 36, Issue 6

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Cited By

Koot MWijnhoven F(2021)Usage impact on data center electricity needs: A system dynamic forecasting modelApplied Energy10.1016/j.apenergy.2021.116798291(116798)Online publication date: Jun-2021
https://doi.org/10.1016/j.apenergy.2021.116798
Ma WChen LZhou YXu B(2016)What Are the Dominant Projects in the GitHub Python Ecosystem?2016 Third International Conference on Trustworthy Systems and their Applications (TSA)10.1109/TSA.2016.23(87-95)Online publication date: Sep-2016
https://doi.org/10.1109/TSA.2016.23
Manikas K(2016)Revisiting software ecosystems ResearchJournal of Systems and Software10.1016/j.jss.2016.02.003117:C(84-103)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.jss.2016.02.003
Manikas KHansen K(2013)Software ecosystems - A systematic literature reviewJournal of Systems and Software10.1016/j.jss.2012.12.02686:5(1294-1306)Online publication date: 1-May-2013
https://dl.acm.org/doi/10.1016/j.jss.2012.12.026

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