Technical Debt in Computational Science

Technical debt is a useful metaphor for understanding the long-term impact of technical choices. The analysis of technical debt has found its place in the software industry, with results that are applicable to scientific software as well. But technical debt is also a useful concept to look at how we...

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Veröffentlicht in:Computing in science & engineering Jg. 17; H. 6; S. 103 - 107
1. Verfasser: Hinsen, Konrad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
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ISSN:1521-9615, 1558-366X
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Abstract Technical debt is a useful metaphor for understanding the long-term impact of technical choices. The analysis of technical debt has found its place in the software industry, with results that are applicable to scientific software as well. But technical debt is also a useful concept to look at how we use computers in doing scientific research.
AbstractList Technical debt is a useful metaphor for understanding the long-term impact of technical choices. The analysis of technical debt has found its place in the software industry, with results that are applicable to scientific software as well. But technical debt is also a useful concept to look at how we use computers in doing scientific research.
Author Hinsen, Konrad
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Cites_doi 10.1109/MCSE.2015.27
10.1126/science.1231535
10.1145/361604.361612
10.1038/467775a
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Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Nov-Dec 2015
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  article-title: Machine Learning: The High Interest Credit Card of Technical Debt
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StartPage 103
SubjectTerms Computation
Computer languages
Computer programs
Computer Science
Metaphors
Scientific computing
scientific programming
Software
Software development
technical debt
Title Technical Debt in Computational Science
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