Run CODENN

See details of CODENN in our paper

Summarizing Source Code using a Neural Attention Model (https://github.com/sriniiyer/codenn/blob/master/summarizing_source_code.pdf)

Requirements

• Torch (http://torch.ch/docs/getting-started.html)
• Cutorch
• antlr4 for parsing C# (pip install antlr4-python2-runtime)

Setup environment

export PYTHONPATH=~/codenn/src/:~/codenn/src/sqlparse export CODENN_DIR=~/codenn/ export CODENN_WORK=./workdir

Build both csharp and sql datasets

Install modified sqlparse

cd src/sqlparse/ sudo python setup.py install

Build datasets

cd src/model ./buildData.sh

Train codenn models and predict on test set

./run.sh {sql|csharp}