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Content Aware Source Code Change Description Generation

2018-11-01WS 2018Unverified0· sign in to hype

Pablo Loyola, Edison Marrese-Taylor, Jorge Balazs, Yutaka Matsuo, Fumiko Satoh

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Abstract

We propose to study the generation of descriptions from source code changes by integrating the messages included on code commits and the intra-code documentation inside the source in the form of docstrings. Our hypothesis is that although both types of descriptions are not directly aligned in semantic terms ---one explaining a change and the other the actual functionality of the code being modified--- there could be certain common ground that is useful for the generation. To this end, we propose an architecture that uses the source code-docstring relationship to guide the description generation. We discuss the results of the approach comparing against a baseline based on a sequence-to-sequence model, using standard automatic natural language generation metrics as well as with a human study, thus offering a comprehensive view of the feasibility of the approach.

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