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
Software engineering for science
β Scribed by Carver, Jeffrey; Hong, Neil P. Chue; Thiruvathukal, George Kuriakose
- Publisher
- Taylor & Francis, CRC Press
- Year
- 2017
- Tongue
- English
- Leaves
- 300
- Series
- Chapman & Hall/CRC computational science series
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
About the Editors
Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops).
Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object.
George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.
β¦ Table of Contents
Content: 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.
β¦ Subjects
Science;Data processing;Software engineering
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