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ASE 2015

Pseudogen: A Tool to Automatically Generate Pseudo-Code from Source Code

Hiroyuki Fudaba, Yusuke Oda, Koichi Akabe, Graham Neubig, Hideaki Hata, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura

PDFDOI 10.1109/ase.2015.107dblp

Abstract

Understanding the behavior of source code written in an unfamiliar programming language is difficult. One way to aid understanding of difficult code is to add corresponding pseudo-code, which describes in detail the workings of the code in a natural language such as English. In spite of its usefulness, most source code does not have corresponding pseudo-code because it is tedious to create. This paper demonstrates a tool Pseudogen that makes it possible to automatically generate pseudo-code from source code using statistical machine translation (SMT). Pseudogen currently supports generation of English or Japanese pseudo-code from Python source code, and the SMT framework makes it easy for users to create new generators for their preferred source code/pseudo-code pairs.

BibTeX
@inproceedings{Fudaba-al:ASE15,
  author    = {Hiroyuki Fudaba and
               Yusuke Oda and
               Koichi Akabe and
               Graham Neubig and
               Hideaki Hata and
               Sakriani Sakti and
               Tomoki Toda and
               Satoshi Nakamura},
  title     = {Pseudogen: A Tool to Automatically Generate {Pseudo-Code} from Source Code},
  booktitle = {ASE},
  pages     = {824--829},
  publisher = {{IEEE} Computer Society},
  year      = {2015},
}

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