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University research groups in Computational Science and Engineering (CSE)generally lack dedicated funding and personnel for Research SoftwareEngineering (RSE), which, combined with the pressure to maximize the number ofscientific publications, shifts the focus away from sustainable researchsoftware development and reproducible results. The neglect of RSE in CSE atUniversity research groups negatively impacts the scientific output: researchdata - including research software - related to a CSE publication cannot befound, reproduced, or re-used, different ideas are not combined easily into newideas, and published methods must very often be re-implemented to beinvestigated further. This slows down CSE research significantly, resulting inconsiderable losses in time and, consequentially, public funding.  We propose a RSE workflow for Computational Science and Engineering (CSE)that addresses these challenges, that improves the quality of research outputin CSE. Our workflow applies established software engineering practices adaptedfor CSE: software testing, result visualization, and periodical cross-linkingof software with reports/publications and data, timed by milestones in thescientific publication process. The workflow introduces minimal work overhead,crucial for university research groups, and delivers modular and testedsoftware linked to publications whose results can easily be reproduced. Wedefine research software quality from a perspective of a pragmatic researcher:the ability to quickly find the publication, data, and software related to apublished research idea, quickly reproduce results, understand or re-use a CSEmethod, and finally extend the method with new research ideas.

A pragmatic workflow for research software engineering in computational science