Decoupling as a Fundamental Value of Computer Science

Minds and Machines 21 (2):241-259 (2011)
Abstract
Computer science is an engineering science whose objective is to determine how to best control interactions among computational objects. We argue that it is a fundamental computer science value to design computational objects so that the dependencies required by their interactions do not result in couplings, since coupling inhibits change. The nature of knowledge in any science is revealed by how concepts in that science change through paradigm shifts, so we analyze classic paradigm shifts in both natural and computer science in terms of decoupling. We show that decoupling pervades computer science both at its core and in the wider context of computing at large, and lies at the very heart of computer science’s value system
Keywords Computer science   Decoupling   Values
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DOI 10.1007/s11023-011-9233-3
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Toward a New Philosophy of Biology: Observations of an Evolutionist.Ernst Mayr - 1988 - Belknap Press of Harvard University Press.
Abstraction in Computer Science.Timothy Colburn & Gary Shute - 2007 - Minds and Machines 17 (2):169-184.
Metaphor in Computer Science.T. R. Colburn & G. M. Shute - 2008 - Journal of Applied Logic 6 (4):526-533.

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Some Philosophical Issues in Computer Science.Amnon Eden - 2011 - Minds and Machines 21 (2):123-133.

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