Issue No. 02 - Mar./Apr. (2018 vol. 20)
Arne Johanson , XING Marketing Solutions GmbH
Wilhelm Hasselbring , Kiel University
Despite the increasing importance of in silico experiments to the scientific discovery process, state-of-the-art software engineering practices are rarely adopted in computational science. To understand the underlying causes for this situation and to identify ways to improve it, the authors conducted a literature survey on software engineering practices in computational science. They identified 13 recurring key characteristics of scientific software development that are the result of the nature of scientific challenges, the limitations of computers, and the cultural environment of scientific software development. Their findings allow them to point out shortcomings of existing approaches for bridging the gap between software engineering and computational science and to provide an outlook on promising research directions that could contribute to improving the current situation.
natural sciences computing, software engineering
A. Johanson and W. Hasselbring, "Software Engineering for Computational Science: Past, Present, Future," in Computing in Science & Engineering, vol. 20, no. 2, pp. 90-109, 2018.