Abstract:
Computational science (also scientific computing) involves the development of models and simulations to understand natural systems answering questions that neither theory nor experiment alone are equipped to answer. Despite the increasing importance of so-called in-silico experiments to the scientific discovery process, state-of-the-art software engineering practices are not fully adopted in computational science. However, software engineering is central to any effort to increase computational science’s software productivity. Among the methods and techniques that software engineering can offer to computational science, I’ll present work model-driven software engineering with domain specific languages and on modular software architectures. For good scientific practice, it is important that research results may properly be checked by reviewers, and possibly be repeated and extended by other researchers. This is of particular interest for "digital science" i.e. for in-silico experiments. In this talk, I’ll discuss some efforts on open science in both, computational science and computer science.
Reference: A. Johanson, W. Hasselbring: “Software Engineering for Computational Science: Past, Present, Future”, In: Computing in Science & Engineering, pp. 90-109, March/April 2018.
https://doi.org/10.1109/MCSE.2018.108162940#
Biodata:
Prof. Dr. Wilhelm (Willi) Hasselbring is professor of Software Engineering and former dean of the Faculty of Engineering at Kiel University, Germany. In the competence cluster Software Systems Engineering (KoSSE), he coordinates technology transfer projects with industry. In the excellence cluster Future Ocean, in the Helmholtz Research School Ocean System Science and Technology (HOSST), and in the new Helmholtz School for Marine Data Science (MarDATA), he collaborates with the GEOMAR Helmholtz Centre for Ocean Research Kiel.
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