Software Engineering for Science
eBook - PDF

Software Engineering for Science

  1. 274 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

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.

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Yes, you can access Software Engineering for Science by Jeffrey C. Carver, Neil P. Chue Hong, George K. Thiruvathukal in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. List of Figures
  7. List of Tables
  8. About the Editors
  9. List of Contributors
  10. Acknowledgments
  11. Introduction
  12. 1 Software Process for Multiphysics Multicomponent Codes
  13. 2 A Rational Document Driven Design Process for Scientific Software
  14. 3 Making Scientific Software Easier to Understand, Test, and Communicate through Software Engineering
  15. 4 Testing of Scientific Software: Impacts on Research Credibility, Development Productivity, Maturation, and Sustainability
  16. 5 Preserving Reproducibility through Regression Testing
  17. 6 Building a Function Testing Platform for Complex Scientific Code
  18. 7 Automated Metamorphic Testing of Scientific Software
  19. 8 Evaluating Hierarchical Domain-Specific Languages for Computational Science: Applying the Sprat Approach to a Marine Ecosystem Model
  20. 9 Providing Mixed-Language and Legacy Support in a Library: Experiences of Developing PETSc
  21. 10 HydroShare – A Case Study of the Application of Modern Software Engineering to a Large Distributed Federally-Funded Scientific Software Development Project
  22. References
  23. Index