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DTSTAMP:20230831T095745Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230626T112000
DTEND;TZID=Europe/Stockholm:20230626T115000
UID:submissions.pasc-conference.org_PASC23_sess104_pos104@linklings.com
SUMMARY:P04 - A Research Software Engineering Workflow for Computational S
 cience and Engineering
DESCRIPTION:Poster\n\nMoritz Schwarzmeier, Tomislav Marić, Tobias Tolle, J
 an-Patrick Lehr, Ioannis Pappagianidis, Benjamin Lambie, Dieter Bothe, and
  Christian Bischof (TU Darmstadt)\n\nWe present a Research Software Engine
 ering (RSE) workflow for developing research software in Computational Sci
 ence and Engineering (CSE) in university research groups. Their members ha
 ve backgrounds from different scientific disciplines and often lack educat
 ion in RSE. Research software development lasts many years, contrary to te
 am members leaving regularly. Combining and re-using ideas and results fro
 m others is a fundamental principle of science. In CSE, research software 
 embodies research ideas. As CSE research advances, research software shoul
 d grow sustainably over the years. To increase the sustainability of resea
 rch software, our workflow simplifies investigation and integration of res
 earch ideas, ensures reproducibility, and new functionality does not impai
 r existing one. These practices speed up research and increase the quality
  of scientific output. Our CSE-RSE workflow is simple, effective, and larg
 ely ensures the FAIR principles (Wilkinson, et al. The FAIR guiding princi
 ples for scientific data management and stewardship. Sci Data 3, 160018 (2
 016)). The workflow uses established practices and tools, pragmatically ad
 apted for CSE research software: version-control, secondary-data standards
 , continuous integration, and containerization. A detailed description of 
 the CSE-RSE workflow is available as preprint (Marić, et al. A Research So
 ftware Engineering Workflow for Computational Science and Engineering. Pre
 print, https://doi.org/10.48550/arXiv.2208.07460 (2022)).\n\nSession Chair
 : Elaine M. Raybourn (Sandia National Laboratories)
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