CCLearner

Folders and Files

CCLearner_Feature -- Generate data for training model
CCLearner_Test -- Detect clone pairs by leveraging training models
CCLearner_Train -- Generate training models
Recall_Query -- SQL scripts for calculating recall rates of different types of clones
Run -- Jar Files and dependencies for easy mode
CCLearner.conf -- Configuration file of CCLearner

Prerequisite

Ubuntu14.04, JAVA 8

BigCloneBench Preparation

Extract SQL script

$ tar -xvzf era_bigclonebench.sql.tar.gz

Extract raw java files

$ tar -xvzf era_bcb_sample.tar.gz

PostgreSQL installation

$ apt-get update
$ apt-get install postgresql postgresql-contrib

Database configuration and data import

# Change user
$ sudo -i -u postgres

# Run PostgreSQL console
$ psql

# Create dependent roles for BigCloneBench
postgres=# CREATE ROLE postgresql;
postgres=# CREATE ROLE bigclonebench;

# Data dump
postgres=# \i /home/cclearner/Desktop/CCLearner/era_bigclonebench.sql

# Create another user for use
CREATE USER cclearner with PASSWORD 'cclearner';
ALTER ROLE cclearner Superuser;

pgAdmin installation

$ apt-get install pgadmin3

Customization

To run all the experiments in our paper, the following parameters could be changed. For 1-7, change the path with your own username and directory.

source.file.path
output.dir
feature.file.path
model.file.path
pos.file.path
sim.file.path
clones.file.path
feature.num
feature.name
training.iteration
training.input.num
training.hidden.num (also need to modify the source file in CCLearner_Train)
testing.folder (users can reduce the number of testing folders to save time)

Execution -- Easy Mode (Recommended)

By using the default or modified configuration file, go to Run folder and execute the following commands

java -jar CCLearner_Feature.jar
java -jar CCLearner_Train.jar
java -jar CCLearner_Test.jar (may take some time)

Execution -- Developer Mode

To change datasets, more parameters or the source code, open CCLearner_Feature, CCLearner_Train, CCLearner_Test, rebuild and rerun the given project

Evaluation

Data import

Table "tools_clones" in PostgreSQL is used for data import. It is better to use pgAdmin to truncate table and import csv file into database.

Double click server's name to connect server and database
Right click "tools_clones" and click "truncate".
Right click "tools_clones" and click "import..." (Choose Filename; Format - "csv"; Encoding - "UTF8")

Calculate recall rate

In pgAdmin, click SQL icon on the top menu, choose one query file from Recall_Query folder and execute the query.

The numbers of true clones with different types in BigCloneBench for testing are T1(2,383), T2(671), VST3(873), ST3(5,365), MT3(31,413), WT3/4(1,540,513).

Recall Rate = Query Result / corresponding number of true clones

liuqingli/CCLearner