Research group

Machine Learning Methods in Software Engineering

Change Patterns in Python

Project supervisor: Timofey Bryksin
Status: Active

In this project, we use Code Change Miner to mine the patterns of code changes in Python and study them in detail. This includes determining the most frequent ones, categorizing them, comparing them between different domains and timeframes. We also plan to hand-pick the most useful patterns and present them to the developing team of PyCharm for finding possible future inspections.