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Software engineering for science / edited by Jeffrey Carver, Neil P. Chue Hong, and George K. Thiruvathukal

Contributor(s): Material type: Computer fileComputer fileLanguage: English Publication details: Boca Raton : Taylor & Francis, CRC Press, [2017];©2017Description: 1 online resourceISBN:
  • 9781315368924
Subject(s): DDC classification:
  • 005.100 S681
Online resources:
Contents:
1. Software process for multiphysics multicomponent codes / Anshu Dubey, Katie Antypas, Ethan Coon, and Katherine Riley -- 2. A rational document driven design process for scientific software / W. Spencer Smith -- 3. Making scientific software easier to understand, test, and communicate through software engineering / Matthew Patrick -- 4. Testing of scientific software : impacts on research credibility, development productivity, maturation, and sustainability / Roscoe A. Bartlett and 5 others -- 5. Preserving reproducibility through regression testing / Daniel Hook -- 6. Building a function testing platform for complex scientific code / Dali Wang, Zhuo Yao, and Frank Winkler -- 7. Automated metamorphic testing and scientific software / Upulee Kanewala, Anders Lundgren, and James M. Bieman -- 8. 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 -- 9. 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 -- 10. HydroShare : a case study of the application of modern software engineering to a large distributed federally-funded scientific software development project / Ray Idaszak and 10 others
List(s) this item appears in: Computational Sciences
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Includes bibliographical references (pages 235-264) and index

1. Software process for multiphysics multicomponent codes / Anshu Dubey, Katie Antypas, Ethan Coon, and Katherine Riley -- 2. A rational document driven design process for scientific software / W. Spencer Smith -- 3. Making scientific software easier to understand, test, and communicate through software engineering / Matthew Patrick -- 4. Testing of scientific software : impacts on research credibility, development productivity, maturation, and sustainability / Roscoe A. Bartlett and 5 others -- 5. Preserving reproducibility through regression testing / Daniel Hook -- 6. Building a function testing platform for complex scientific code / Dali Wang, Zhuo Yao, and Frank Winkler -- 7. Automated metamorphic testing and scientific software / Upulee Kanewala, Anders Lundgren, and James M. Bieman -- 8. 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 -- 9. 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 -- 10. HydroShare : a case study of the application of modern software engineering to a large distributed federally-funded scientific software development project / Ray Idaszak and 10 others

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