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Currently the number of "passed" FMU imports is summed up over all versions of the tools / FMUs. This leads to an "advantage" for older tools (with more versions) and does not encourage importers to test against newly released versions / tools. For the users this makes the result tables (both tools page and cross-check) less meaningful.
In the discussion at the FMI Design Meeting in Roanne it turned out that this could be solved by introducing an additional column "latest_version" to tools.csv. The results could then be structured like this:
Tool A v1.1
Tool B v2.0
Model 1
Model 2
Model 1
Model 2
Tool A
passed
rejected
passed
failed
Tool C
passed
passed
passed
rejected
The advantage of this approach would be that it scales much better (less data and CPU time) and produces a table that fits on one page and gives a good overview of the current status of the interoperability of the tools.
Currently the number of "passed" FMU imports is summed up over all versions of the tools / FMUs. This leads to an "advantage" for older tools (with more versions) and does not encourage importers to test against newly released versions / tools. For the users this makes the result tables (both tools page and cross-check) less meaningful.
In the discussion at the FMI Design Meeting in Roanne it turned out that this could be solved by introducing an additional column "latest_version" to tools.csv. The results could then be structured like this:
The advantage of this approach would be that it scales much better (less data and CPU time) and produces a table that fits on one page and gives a good overview of the current status of the interoperability of the tools.