Coverart for item
The Resource Software engineering for science, edited by Jeffrey Carver, Neil P. Chue Hong, and George K. Thiruvathukal

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

Label
Software engineering for science
Title
Software engineering for science
Statement of responsibility
edited by Jeffrey Carver, Neil P. Chue Hong, and George K. Thiruvathukal
Contributor
Subject
Language
eng
Summary
"Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains"--The publisher
Member of
Dewey number
005.1
Index
index present
Language note
Text in English
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Carver, Jeffrey,
  • Hong, Neil P. Chue,
  • Thiruvathukal, George K.
Series statement
Chapman & Hall/CRC Computational science series
http://library.link/vocab/subjectName
  • Science
  • Software engineering
Label
Software engineering for science, edited by Jeffrey Carver, Neil P. Chue Hong, and George K. Thiruvathukal
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
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
Control code
ocn962305565
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781315332888
Level of compression
unknown
Note
Taylor & Francis
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)962305565
Label
Software engineering for science, edited by Jeffrey Carver, Neil P. Chue Hong, and George K. Thiruvathukal
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
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
Control code
ocn962305565
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781315332888
Level of compression
unknown
Note
Taylor & Francis
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)962305565

Library Locations

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