Software engineering for science

by Carver, Jeffrey Hong, Neil P. Chue Thiruvathukal, George K., (George Kuriakose)

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Title Statements

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

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

Edition Statements

Publication Date:©2017

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton
Language:eng
Publication Date:©2017

The Physical Object

Description:1 online resource (xxxv, 274 pages)

Edition Identifiers

ISBN:9781498743860, 1498743862, 9781315368924, 1315368927, 9781315351926, 1315351927, 9781315332888, 1315332884
oclc:ocn962305565
LC Classification:Q183.9
Dewey Decimal:005.1

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.…

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