Rights statement: © 2018 Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ICSE-SEIS '18 Proceedings of the 40th International Conference on Software Engineering http://dx.doi.org/10.1145/3183428.3183430
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Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - SE in ES
T2 - Opportunities for Software Engineering and Cloud Computing in Environmental Science
AU - Simm, William Alexander
AU - Samreen, Faiza
AU - Bassett, Richard
AU - Ferrario, Maria Angela Felicita Cristina
AU - Blair, Gordon Shaw
AU - Young, Paul John
AU - Whittle, Jonathan Nicholas David
N1 - © 2018 Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ICSE-SEIS '18 Proceedings of the 40th International Conference on Software Engineering http://dx.doi.org/10.1145/3183428.3183430
PY - 2018/6/3
Y1 - 2018/6/3
N2 - New and emergent computing architectures and software engineering practices provide an opportunity for environmental models to be deployed more efficiently and democratically. In this paper we aim to capture the software engineering practices of environmental scientists, highlight opportunities for software engineering and work towards developing a domain specific language for the configuration and deployment of environmental models. We hold a series of interviews with environmental scientists involved in developing and deploying computer based environmental models about the approach taken in engineering models, and describe a case study in deploying an environmental model (WRF: Weather Research & Forecasting) on a cloud architecture. From these studies we find a number of opportunities for a) software engineering methods and tools such as Domain Specific Languages to play a role in abstracting from underlying computing complexity, and for b) new architectures to increase efficiency and availability of deployment. Together, we propose they will allow scientists to concentrate on fundamental science rather than specifics of the underlying computing.
AB - New and emergent computing architectures and software engineering practices provide an opportunity for environmental models to be deployed more efficiently and democratically. In this paper we aim to capture the software engineering practices of environmental scientists, highlight opportunities for software engineering and work towards developing a domain specific language for the configuration and deployment of environmental models. We hold a series of interviews with environmental scientists involved in developing and deploying computer based environmental models about the approach taken in engineering models, and describe a case study in deploying an environmental model (WRF: Weather Research & Forecasting) on a cloud architecture. From these studies we find a number of opportunities for a) software engineering methods and tools such as Domain Specific Languages to play a role in abstracting from underlying computing complexity, and for b) new architectures to increase efficiency and availability of deployment. Together, we propose they will allow scientists to concentrate on fundamental science rather than specifics of the underlying computing.
U2 - 10.1145/3183428.3183430
DO - 10.1145/3183428.3183430
M3 - Conference contribution/Paper
SN - 9781450356619
SP - 61
EP - 70
BT - ICSE-SEIS '18 Proceedings of the 40th International Conference on Software Engineering
PB - ACM
CY - New York
ER -