Finished readme file.

Author: DanielLin1986

Data/CodeMetrics.xlsx

@@ -9,6 +9,7 @@ The page contains the code and data used in the paper [Vulnerability Discovery w
  * [Tensorflow](https://www.tensorflow.org/)
  * [Keras](https://github.com/fchollet/keras/tree/master/keras)
  * Python >= 2.7
+ * [CodeSensor](https://github.com/fabsx00/codesensor)
 
 The dependencies can be installed using [Anaconda](https://www.anaconda.com/download/). For example:
 
@@ -18,12 +19,17 @@ $ bash Anaconda3-5.0.1-Linux-x86_64.sh
 
 ### Instructions:
 
- * 
+The Vulnerabilities_info.xlsx file contains information of the collected function-level vulnerabilities. These vulnerabilities are from 3 open source projects: [FFmpeg](https://github.com/FFmpeg/FFmpeg), [LibTIFF](https://github.com/vadz/libtiff) and [LibPNG](https://github.com/glennrp/libpng). And vulnerability information was collected from [National Vulnerability Database(NVD)](https://nvd.nist.gov/) until the mid of July 2017.
 
+The "Data" folder contains the source code of vulnerable functions within the Zip file of the 3 projects. After unzipping the files, one will find that the source code of each function was named with its CVE ID. 
 
-### Stuff used to make this:
+The "Code" folder contains the Python code sample for invoking the CodeSensor to parse functions to ASTs (for detail information and usage of CodeSensor, please visiter the author's blog: http://codeexploration.blogspot.com.au/) It also contains the Python code sample for implementing LSTM based on Keras with Tensorflow backend.
+
+We used [Understand](https://scitools.com/) which is a commercial code enhancement tool for extracting function-level code metrics. In CodeMetrics.xlsx file, we include 23 code metrics extracted from the vulnerable functions of 3 projects. 
+
+### Contact:
+
+You are welcomed to improve our code as well as our method. Please cite our paper if you use the code/data in your work. For acquiring more data or enquiries, please contact: junzhang@swin.edu.au.
+
+Thanks and enjoy coding!
 
- * [markdown-it](https://github.com/markdown-it/markdown-it) for Markdown parsing
- * [CodeMirror](http://codemirror.net/) for the awesome syntax-highlighted editor
- * [highlight.js](http://softwaremaniacs.org/soft/highlight/en/) for syntax highlighting in output code blocks
- * [js-deflate](https://github.com/dankogai/js-deflate) for gzipping of data to make it fit in URLs