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Modern research in the sciences, engineering, humanities, and other fields depends on software, and specifically, research software. Much of this research software is developed in universities, by faculty, postdocs, students, and staff. In this paper, we focus on the role of university staff. We examine three different, independently-developed models under which these staff are organized and perform their work, and comparatively analyze these models and their consequences on the staff and on the software, considering how the different models support software engineering practices and processes. This information can be used by software engineering researchers to understand the practices of such organizations and by universities who want to set up similar organizations and to better produce and maintain research software.
2019 Intl. Work. on Soft. Eng. for Science (SE4Science), May 28, 2019, with ICSE'19
group management, FOS: Computer and information sciences, software sustainability, research software, scientific software, research software engineering, project management, Software Engineering (cs.SE), Computer Science - Software Engineering, Computer Science - Computers and Society, Computers and Society (cs.CY), software engineering
group management, FOS: Computer and information sciences, software sustainability, research software, scientific software, research software engineering, project management, Software Engineering (cs.SE), Computer Science - Software Engineering, Computer Science - Computers and Society, Computers and Society (cs.CY), software engineering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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