Multi-perspective representation learning for source code analytics (invited tutorial)

Abstract

Programming languages are artificial and highly restricted languages. But source code is there to tell computers as well as programmers what to do, as an act of communication. Despite its weird syntax and is riddled with different delimiters, the good news is that the very large corpus of open-source code is available. That makes it reasonable to apply machine learning techniques to source code to enable the source code analytics.

BibTeX

@inproceedings{Jin:FSE22,
  author    = {Zhi Jin},
  title     = {Multi-perspective representation learning for source code analytics (invited tutorial)},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages     = {5},
  publisher = {{ACM}},
  year      = {2022},
}

Multi-perspective representation learning for source code analytics (invited tutorial)

Abstract

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