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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