foyzulhassan / uniloc Goto Github PK

UniLoc, a unified technique to localize faults in both source code and build scripts given CI failures.

To restore database server, install docker and docker-compose. Here is link to install docker and docker-compose:

docker:
https://docs.docker.com/docker-for-windows/install/

docker-compose:
https://docs.docker.com/compose/install/

How to Restore Data:
1. Go to Dockerfile folder. 2. In mysql-dump folder unzip the backup sql script and return to Dockerfile folder.
3. In Dockerfile folder run following command: docker-compose up
If you have permission issue, use sudo to run the command.

Other useful commands: To stop and remove existing docker images, run following commands:
docker stop $(sudo docker ps -a -q) docker rm $(sudo docker ps -a -q)

To cleanup docker image data module, run following commmands:    
	docker system prune -a
	docker volume prune   

After restoring the data, our UniLoc tool is ready to execute.

To build the project execute:
mvn package

To cleanup prior executable:
mvn clean

To run the project execute:
java -jar uniloc-1.0.0-SNAPSHOT.jar

If you run the project for the first time, please select menu option 1 to download Git Repo for analysis. To execute other different approaches of fault localization, select appropriate id. Result for will stored in database, also summary will be shown in the command line.

For detailed performance analysis, you need to execute query using mysql-client or mysql-workbench. In project "scripts" folder you can find sql queries to perform analysis for different approaches.