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Top 10 metrics for life science software good practices
Metrics for assessing adoption of good development practices are a useful way to ensure that software is sustainable, reusable and functional. Sustainability means that the software used today will be available - and continue to be improved and supported - in the future. We report here an initial se...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007752/ https://www.ncbi.nlm.nih.gov/pubmed/27635232 http://dx.doi.org/10.12688/f1000research.9206.1 |
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author | Artaza, Haydee Chue Hong, Neil Corpas, Manuel Corpuz, Angel Hooft, Rob Jimenez, Rafael C. Leskošek, Brane Olivier, Brett G. Stourac, Jan Svobodová Vařeková, Radka Van Parys, Thomas Vaughan, Daniel |
author_facet | Artaza, Haydee Chue Hong, Neil Corpas, Manuel Corpuz, Angel Hooft, Rob Jimenez, Rafael C. Leskošek, Brane Olivier, Brett G. Stourac, Jan Svobodová Vařeková, Radka Van Parys, Thomas Vaughan, Daniel |
author_sort | Artaza, Haydee |
collection | PubMed |
description | Metrics for assessing adoption of good development practices are a useful way to ensure that software is sustainable, reusable and functional. Sustainability means that the software used today will be available - and continue to be improved and supported - in the future. We report here an initial set of metrics that measure good practices in software development. This initiative differs from previously developed efforts in being a community-driven grassroots approach where experts from different organisations propose good software practices that have reasonable potential to be adopted by the communities they represent. We not only focus our efforts on understanding and prioritising good practices, we assess their feasibility for implementation and publish them here. |
format | Online Article Text |
id | pubmed-5007752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-50077522016-09-14 Top 10 metrics for life science software good practices Artaza, Haydee Chue Hong, Neil Corpas, Manuel Corpuz, Angel Hooft, Rob Jimenez, Rafael C. Leskošek, Brane Olivier, Brett G. Stourac, Jan Svobodová Vařeková, Radka Van Parys, Thomas Vaughan, Daniel F1000Res Opinion Article Metrics for assessing adoption of good development practices are a useful way to ensure that software is sustainable, reusable and functional. Sustainability means that the software used today will be available - and continue to be improved and supported - in the future. We report here an initial set of metrics that measure good practices in software development. This initiative differs from previously developed efforts in being a community-driven grassroots approach where experts from different organisations propose good software practices that have reasonable potential to be adopted by the communities they represent. We not only focus our efforts on understanding and prioritising good practices, we assess their feasibility for implementation and publish them here. F1000Research 2016-08-16 /pmc/articles/PMC5007752/ /pubmed/27635232 http://dx.doi.org/10.12688/f1000research.9206.1 Text en Copyright: © 2016 Artaza H et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Opinion Article Artaza, Haydee Chue Hong, Neil Corpas, Manuel Corpuz, Angel Hooft, Rob Jimenez, Rafael C. Leskošek, Brane Olivier, Brett G. Stourac, Jan Svobodová Vařeková, Radka Van Parys, Thomas Vaughan, Daniel Top 10 metrics for life science software good practices |
title | Top 10 metrics for life science software good practices |
title_full | Top 10 metrics for life science software good practices |
title_fullStr | Top 10 metrics for life science software good practices |
title_full_unstemmed | Top 10 metrics for life science software good practices |
title_short | Top 10 metrics for life science software good practices |
title_sort | top 10 metrics for life science software good practices |
topic | Opinion Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007752/ https://www.ncbi.nlm.nih.gov/pubmed/27635232 http://dx.doi.org/10.12688/f1000research.9206.1 |
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