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Auflistung nach Schlagwort "research software"

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  • Zeitschriftenartikel
    From FAIR research data toward FAIR and open research software
    (it - Information Technology: Vol. 62, No. 1, 2020) Hasselbring, Wilhelm; Carr, Leslie; Hettrick, Simon; Packer, Heather; Tiropanis, Thanassis
    The Open Science agenda holds that science advances faster when we can build on existing results. Therefore, research data must be FAIR (Findable, Accessible, Interoperable, and Reusable) in order to advance the findability, reproducibility and reuse of research results. Besides the research data, all the processing steps on these data – as basis of scientific publications – have to be available, too. For good scientific practice, the resulting research software should be both open and adhere to the FAIR principles to allow full repeatability, reproducibility, and reuse. As compared to research data, research software should be both archived for reproducibility and actively maintained for reusability. The FAIR data principles do not require openness, but research software should be open source software. Established open source software licenses provide sufficient licensing options, such that it should be the rare exception to keep research software closed. We review and analyze the current state in this area in order to give recommendations for making research software FAIR and open.
  • Konferenzbeitrag
    Software engineering, research software and requirements engineering
    (Softwaretechnik-Trends Band 44, Heft 1, 2024) Druskat, Stephan; Felderer, Michael; Haupt, Carina
    Research software is developed with aims and in contexts that differ from other software, by individuals who are often not trained software engineers. Furthermore, research software projects often suffer from resource scarcity, but produce artifacts that are crucial for research and require software engineering. These circumstances have an impact on how software engineering activities are performed in research contexts. This holds in particular for requirements engineering, which plays a crucial role for the success of traditional software engineering projects. In this paper, we discuss the relationship between research software and requirements engineering. For that purpose, we also reflect on research software engineering and its relationship to software engineering research. Closer collaboration between software engineering research and research software engineering creates opportunities for knowledge exchange and better research software engineering practice, and interesting new research questions for software engineering research. This is true also for requirements engineering, where lightweight methods are required, depending on the type of research software developed.