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
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@@ -10,17 +10,7 @@ To measure the obtained memory gains when using Moclodash for cloning models, we
## Downloading the tool
## 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/).
Download links have been removed, now the evaluation tool must be compiled manually.
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.
@@ -10,5 +10,7 @@ The tool is available as two eclipse plugins:
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@@ -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 material generator, which adds an new type of run configuration to do so
* one with the cloning runtime library
* one with the cloning runtime library
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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.