# CoDiSum

**Repository Path**: danielljc/CoDiSum

## Basic Information

- **Project Name**: CoDiSum
- **Description**: Implementation of 'Commit message generation for source code change'.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-20
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CoDiSum

Code and data of the paper **Commit Message Generation for Source Code Changes**.

## Intro

CoDiSum is a deep neural network model used to generate commit message for source code changes. It take processed `diff` as input and outputs natural language description.

In this repository, we provide the implementation of our CoDiSum model with Python Keras APIs.

## Requirements

* Python >= 3.6.2
* Numpy >= 1.15.0
* Keras >= 2.1.5
* Tensorflow >= 1.7.0

## Usage

example usage:

Create a dir `models` to save the model file and run
```
python CopyNetPlusgen.py
```

This command will lead to a full training and prediction process. Related parameters are in `CopyNetPlusgen.py` file, named in uppercase.

## Datasets

We put the data set in a compressed file `data4CopynetV3.zip`, You can extract directly to the current folder.

## Model

![Image text](./images/overview.png)

## Citing

If you find CoDiSum useful in your research, we ask that you cite the following paper:

```
@inproceedings{
author = {Xu, Shengbin and Yao, Yuan and Xu, Feng and Gu, Tianxiao and Tong, Hanghang and Lu, Jian},
title = {Commit Message Generation for Source Code Changes},
booktitle = {Proceedings of the 28th International Joint Conference on Artificial Intelligence},
year = {2019},
}
```