Published August 1, 2021
| Version v1
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Supplementary material for the paper "PyNose: A Test Smell Detector for Python"
- 1. University of California, Irvine
- 2. JetBrains Research
- 3. JetBrains Research, Saint Petersburg State University
Description
This archive contains:
- Lists of projects used in our study.
- A full list of examples of the newly introduced Suboptimal Assert test smell.
- An example of a change graph used to discover Python-specific test smells.
- The results of the small-scale mapping study: a full list of papers, a full list of test smells, and the correlation between them.
You can find all the details in README.txt
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PyNose.zip
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