This tool is the implementation of the approach presented in this paper:
Bousse E., Combemale B., Baudry B. (2014) Scalable Armies of Model Clones through Data Sharing. In: Dingel J., Schulte W., Ramos I., Abrahão S., Insfran E. (eds) Model-Driven Engineering Languages and Systems. MODELS 2014. Lecture Notes in Computer Science, vol 8767. Springer, Cham. https://doi.org/10.1007/978-3-319-11653-2_18
@@ -10,17 +10,7 @@ To measure the obtained memory gains when using Moclodash for cloning models, we
## Downloading the tool
You can download the latest build of the evaluation tool suite at [this page](https://ci.inria.fr/moclodash/job/moclodash-evaluation/lastSuccessfulBuild/).
Five versions are available:
* Linux gtk x86
* Linux gtk x86_64
* Macos x86_64
* Windows x86
* Windows x86_64
Note that this tool suite contains all the required dependencies, including the moclodash plugins themselves. Thus, you don't have to download them manually to run the evaluation.
Download links have been removed, now the evaluation tool must be compiled manually.
@@ -10,5 +10,7 @@ The tool is available as two eclipse plugins:
* one with the cloning material generator, which adds an new type of run configuration to do so
* one with the cloning runtime library
Nightly builds can be installed using [this eclipse update site](https://ci.inria.fr/moclodash/job/moclodash/lastSuccessfulBuild/artifact/moclodash/fr.inria.diverse.cloning.updatesite/target/repository/).
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Nightly builds can be installed using [this eclipse update site](https://ci.inria.fr/moclodash/job/moclodash/lastSuccessfulBuild/artifact/moclodash/fr.inria.diverse.cloning.updatesite/target/repository/). -->
The update site has been disabledd, now these plugins must be compiled and installed manually.