Pink pony is an open-source software command-line application that suggests functional clusters based on the common changes on git. Functionally related files are grouped into the same cluster. In this way the tool can help to split a monolithic application into a set of microservices.

What changes together should be also together

The application produces 2 files:

• cluster.txt: contains clusters;
• graphViz.dot: a .dot file to visualize the co-change graph.

To run the Pink pony application you have to download the recently released version.

• mr: Markov Clustering is a hard clustering algorithm;
• ch: Chinese Whispers is a hard clustering algorithm;
• max: MaxMax is a soft clustering algorithm for undirected graphs;
• watset: Watset is a local-global meta-algorithm for fuzzy graph clustering.

The implementation of the algorithms used from Watset project

Depending on the investigation that you want to do, the application provides two options:

• file : Suggests functional clusters on file level.

• module : Suggests functional clusters on module level.

• This will suggest functional clusters from files.

$ java -jar pinkpony.jar path\to\.git file max

• This will suggest modules under the specific module

moduleName
    file1
    file2
    ...
    fileN

    cluster1
        file1
        file3
    cluster2
        file6
        file89
        ...
    clusterN
        file2
        file15

$ java -jar pinkpony.jar path\to\.git file max moduleName

• The following command will suggest new co-change modules from the submodules of mod1, mod2, mod3 with the Markov Clustering algorithm.

mod1
    subMod1 
    sudMod2 
    subMod3 
mod2 
    subMod4 
    sudMod5 
mod3 
    subMod6 
    sudMod7 
    subMod8 
    subMod9 
 

 
cluster1        
    subMod3
    subMod9
    subMod8
cluster2
    subMod4
    subMod5
    subMod1
...

$ java -jar pinkpony.jar path\to\.git module mr mod1 mod1 mod2  

The Pink Pony application is a part of my thesis project.