Mapping the research software sustainability space
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2018
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| _version_ | 1866915362445983744 |
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| author | Druskat, Stephan Katz, Daniel S. |
| author_facet | Druskat, Stephan Katz, Daniel S. |
| contents | A growing number of largely uncoordinated initiatives focus on research software sustainability. A comprehensive mapping of the research software sustainability space can help identify gaps in their efforts, track results, and avoid duplication of work. To this end, this paper suggests enhancing an existing schematic of activities in research software sustainability, and formalizing it in a directed graph model. Such a model can be further used to define a classification schema which, applied to research results in the field, can drive the identification of past activities and the planning of future efforts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1807_01772 |
| institution | arXiv |
| publishDate | 2018 |
| record_format | arxiv |
| spellingShingle | Mapping the research software sustainability space Druskat, Stephan Katz, Daniel S. Software Engineering A growing number of largely uncoordinated initiatives focus on research software sustainability. A comprehensive mapping of the research software sustainability space can help identify gaps in their efforts, track results, and avoid duplication of work. To this end, this paper suggests enhancing an existing schematic of activities in research software sustainability, and formalizing it in a directed graph model. Such a model can be further used to define a classification schema which, applied to research results in the field, can drive the identification of past activities and the planning of future efforts. |
| title | Mapping the research software sustainability space |
| topic | Software Engineering |
| url | https://arxiv.org/abs/1807.01772 |