ARTAZA, H., N. C. HONG, M. CORPAS, A. CORPUZ, R. HOOFT, R. C. JIMENEZ, B. LESKOŠEK, B. G. OLIVIER, J. STOURAC, Radka SVOBODOVÁ VAŘEKOVÁ, T. VAN PARYS and D. VAUGHAN. Top 10 metrics for life science software good practices [version 1; referees: 2 approved]. F1000Research. F1000 Research Ltd., 2016, vol. 5, August, p. nestránkováno, 9 pp. ISSN 2046-1402. Available from: https://dx.doi.org/10.12688/f1000research.9206.1.
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Basic information
Original name Top 10 metrics for life science software good practices [version 1; referees: 2 approved]
Authors ARTAZA, H., N. C. HONG, M. CORPAS, A. CORPUZ, R. HOOFT, R. C. JIMENEZ, B. LESKOŠEK, B. G. OLIVIER, J. STOURAC, Radka SVOBODOVÁ VAŘEKOVÁ, T. VAN PARYS and D. VAUGHAN.
Edition F1000Research, F1000 Research Ltd. 2016, 2046-1402.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 20600 2.6 Medical engineering
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.12688/f1000research.9206.1
Keywords in English biomedicine; feasibility study; human; organization; software
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Changed by Changed by: Mgr. Eva Špillingová, učo 110713. Changed: 20/3/2017 10:58.
Abstract
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.
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