Automated variable renaming: Are We There Yet?

In this work, we present a large-scale study investigating the potential of data-driven approaches to support automated variable renaming.

Repository Structure:

• Code 📒

  • The code for training and testing the model is available here

• Miscellaneous 📕

  • Under this path, we also relase extra scripts we used for the experiment. (e.g; the java typename ids resolver)

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External Materials:

• Datasets 📎

  • CSV Files: Each file contains multiple columns: methodBody, methodTokens, methodIndex, extractedVars, extractedFrom. Some of those files, also contain extra columns mainly useful for keeping track of general statistic
  • Model-Specific-Dataset: For each one of the experimented model, we created a specific (train,test and eval dataset) based on the aforementioned CSVs

• Models 💻

  • Here, you can find the model we trained and made it publicly available

• Results 📈

  • Under this folder you will find all the predictions concerning the experiment