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D3.1 Description of Use Cases

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D3.1 Description of Use Cases

Version
1.2
Status
Approved
Created
By Shadi Shahoud, on 3/10/20 12:18 PM
Modified
By Shadi Shahoud, on 3/10/20 12:18 PM
Description
One of the main goals of the SmILES project is to combine the modelling and simulation expertise of five research partners ‐ AIT, DTU, EDF, KIT and VITO ‐ each with a different research focus, simulation tradition, choice of toolchain etc. Furthermore, each of the partners introduces a different system configuration, each with a particular set of possibilities and limitations. Use cases representing the individual partners’ interests (“Partner UCs”) can be expected to differ considerably. This document presents a part of the work conducted in task 1 of work package 3 of the SmILES project. It includes the adaptation of a test description procedure based on work in the H2020 ERIGrid project, the collection of partner use cases and the selection of joint use cases by identification of similarities and overlaps.
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2017-07-25T09:48:05Z
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Version 1.2
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By Shadi Shahoud, on 3/10/20 12:18 PM
Version 1.1
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By Clemens Duepmeier, on 12/20/19 2:21 PM
Version 1.0
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By Claudia Greceanu, on 6/25/18 11:25 AM

D3.1 Description of Use Cases

Thumbnail Uploaded by Claudia Greceanu, 6/25/18 11:25 AM One of the main goals of the SmILES project is to combine the modelling and simulation expertise of five research partners ‐ AIT, DTU, EDF, KIT and VITO ‐ each with a different research focus, simulation tradition, choice of toolchain etc. Furthermore, each of the partners introduces a different system configuration, each with a particular set of possibilities and limitations. Use cases representing the individual partners’ interests (“Partner UCs”) can be expected to differ considerably. This document presents a part of the work conducted in task 1 of work package 3 of the SmILES project. It includes the adaptation of a test description procedure based on work in the H2020 ERIGrid project, the collection of partner use cases and the selection of joint use cases by identification of similarities and overlaps.
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