Software Engineering for Computational Science

Johanson, Arne and Hasselbring, Wilhelm (2019) Software Engineering for Computational Science [Paper] In: Software Engineering 2019, 20.02.2019, Stuttgart.

[img]
Preview
Text
SE2019SECS.pdf - Published Version

Download (37Kb) | Preview

Abstract

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, we conducted a literature survey on software engineering practices in computational science. We identified 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. Our findings allow us 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.

Document Type: Conference or Workshop Item (Paper)
Keywords: Software Engineering, Computational Science
Research affiliation: Kiel University > Software Engineering
Projects: Sprat
Date Deposited: 01 Mar 2019 08:25
Last Modified: 01 Mar 2019 08:25
URI: http://eprints.uni-kiel.de/id/eprint/45950

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...