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Top 10 metrics for life science software good practices

Haydee Artaza, Neil Chue Hong, Manuel Corpas, Angel Corpuz, Rob Hooft, Rafael C Jiménez, Brane Leskošek, Brett G Olivier, Jan Stourac, Radka Svobodová Vařeková, et al. (2016) F1000RESEARCH. 5.
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
journal title
F1000RESEARCH
F1000Res.
volume
5
article number
2000
pages
9 pages
ISSN
2046-1402
DOI
10.12688/f1000research.9206.1
language
English
UGent publication?
no
classification
A2
additional info
all authors are equal contributors
copyright statement
I have retained and own the full copyright for this publication
id
8549673
handle
http://hdl.handle.net/1854/LU-8549673
date created
2018-02-12 13:53:49
date last changed
2018-04-19 07:14:39
@article{8549673,
  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.},
  articleno    = {2000},
  author       = {Artaza, Haydee and Chue Hong, Neil and Corpas, Manuel and Corpuz, Angel and Hooft, Rob and Jim{\'e}nez, Rafael C and Lesko\v{s}ek, Brane and Olivier, Brett G and Stourac, Jan and Svobodov{\'a} Va\v{r}ekov{\'a}, Radka and Van Parys, Thomas and Vaughan, Daniel},
  issn         = {2046-1402},
  journal      = {F1000RESEARCH},
  language     = {eng},
  pages        = {9},
  title        = {Top 10 metrics for life science software good practices},
  url          = {http://dx.doi.org/10.12688/f1000research.9206.1},
  volume       = {5},
  year         = {2016},
}
Chicago
Artaza, Haydee, Neil Chue Hong, Manuel Corpas, Angel Corpuz, Rob Hooft, Rafael C Jiménez, Brane Leskošek, et al. 2016. “Top 10 Metrics for Life Science Software Good Practices.” F1000RESEARCH 5.
APA
Artaza, H., Chue Hong, N., Corpas, M., Corpuz, A., Hooft, R., Jiménez, R. C., Leskošek, B., et al. (2016). Top 10 metrics for life science software good practices. F1000RESEARCH, 5.
Vancouver
1.
Artaza H, Chue Hong N, Corpas M, Corpuz A, Hooft R, Jiménez RC, et al. Top 10 metrics for life science software good practices. F1000RESEARCH. 2016;5.
MLA
Artaza, Haydee, Neil Chue Hong, Manuel Corpas, et al. “Top 10 Metrics for Life Science Software Good Practices.” F1000RESEARCH 5 (2016): n. pag. Print.