Replication Kit For Paper: "Are There Any Unit Tests? An Empirical Study On Unit Testing In Open Source Python Projects"

Replication Kit for the Paper "Are there any Unit Tests? An Empirical Study on Open Source Python Projects" by Fabian Trautsch, Jens Grabowski. You can cite the paper via: @inproceedings{trautsch2017there,<br> title={Are There Any Unit Tests? An Empirical Study on Unit Testing in Open Source Python Projects},<br> author={Trautsch, Fabian and Grabowski, Jens},<br> booktitle={Proceedings of the IEEE International Conference on Software Testing, Verification and Validation (ICST)},<br> pages={207--218},<br> year={2017},<br> organization={IEEE}<br> } Contents:<br> 1) Used version of the vcsSHARK<br> - located in “vcsSHARK”<br> 2) Used version of the testImpSHARK<br> - located in “testImpSHARK”<br> 3) Analysis implementations<br> - located in “testImpSHARK/testimpshark/analysis”<br> 4) Raw Data CSV Files<br> - located in “testImpSHARK/testimpshark/analysis/data<br> 5) Raw MongoDB<br> - located in “mongo_backup” <br> Usage:<br> 1) Usage instructions for the vcsSHARK is given on its github homepage (http://ftrautsch.github.io/vcsSHARK/index.html) or directly in the “vcsSHARK/pyvcsshark/main.py” file 2) Usage instructions for the testImpSHARK:<br> - if only one revision should be analyzed use “testImpSHARK/main.py”<br> - if all revisions should be analyzed use “testImpSHARK/execution.py”<br> - in both files concrete instructions can be found 3) Each analysis file is commented. For some of them (rq1_boxplot.py and rq4.py the connection to the MongoDB must be changed). For the R files, the path to the data must be adapted. Otherwise, the files can be directly executed. 4) The MongoDB can be restored via:<br> mongorestore --gzip --archive=smartshark040816.gz --db smartshark --host &lt;HOST&gt; --port &lt;PORT&gt; --username &lt;USERNAME&gt; --password &lt;PASSWORD&gt; --authenticationDatabase &lt;AUTHENTICATION_DATABASE&gt; <br> Tests:<br> 1) The tests can be run directly via the unittest framework of python: e.g., python -m unittest tests/test_common.py