Software engineering for science /
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
Taylor & Francis, CRC Press,
2017.
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| Series: | Chapman & Hall/CRC computational science series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Software process for mulitphysics multicomponent codes / Anshu Dubey, Katie Antypas, Ethan Coon, and Katherine Riley
- A rational document driven design process for scientific software / W. Spencer Smith
- Making scientific software easier to understand, test, and communicate through software engineering / Matthew Patrick
- Testing of scientific software : impacts on research credibility, development productivity, maturation, and sustainability / Roscoe A. Bartlett, Anshu Dubey, Xiaoye Sherry Li, J. David Moulton, James M. Willenbring, and Ulrike Meier Yang
- Preserving reproducibility through regression testing / Daniel Hook
- Building a function testing platform for complex scientific code / Dali Wang, Zhuo Yao, and Frank Winkler
- Automated metamorphic testing of scientific software / Upulee Kanewala, Anders Lundgren, and James M. Bieman
- Evaluating hierarchical domain-specific languages for computational science : applying the Sprat approach to a marine ecosystem model / Arne N. Johanson, Wilhelm Hasselbring, Andreas Oschlies, and Boris Worm
- Providing mixed-language and legacy support in a library : experiences of developing PETSc / Satish Balay, Jed Brown, Matthew Knepley, Lois Curfman McInnes, and Barry Smith
- HydroShare : a case study of the application of modern software engineering to a large distributed federally-funded scientific software development project / Ray Idaszak, David G. Tarboton (Principal Investigator), Hong Yi, Laura Christopherson, Michael J. Stealey, Brian Miles, Pabitra Dash, Alva Couch, Calvin Spealman, Jeffery S. Horsburgh, and Daniel P. Ames.