Dashboard for analyzing and visualizing software artifacts' data scanned with jQAssistant and stored in a Neo4j graph database.
A web-based dashboard for software analysis and visualization using software artifacts' data scanned by jQAssistant. This screencast shows how to scan, analyze, and visualize software artifacts' data with the open source stack (jQAssistant, Neo4j, React, D3).
Interactively explore jUnit in this online demo of the dashboard.
The dashboard requires a Neo4j database where the information of the software to be analyzed has been imported with jQAssistant. There are three possibilities how to achieve this.
jqa-dashboard/data/jqassistant
. Therefore, copy this folder in your project root and run $ mvn jqassistant:analyze
. Then you can start the Neo4j database with $ mvn jqassistant:server
. The dashboard uses the bolt driver to connect to the database (bolt://localhost, port 7687). You can change the default connection settings on the settings page of the dashboard.$ neo4j-admin load --from=<path-to-neo4j-dump> [--force=true]
.Clone the repository and execute the following command.
$ npm run install-dashboard
After installation you can run the dashboard by executing this command.
$ npm run dashboard
For updating all packages and dependencies after running git pull you can execute this command.
$ npm run update-dashboard
The dashboard can also be run via Docker. Therefore, you can use these pre-built Docker images.
$ docker run --env PORT=3000 -it visualsoftwareanalytics/jqa-dashboard:dashboard
If needed, you can use one of these commands to additionally run a Neo4j server with sample data already loaded.
$ docker run -it -p 7474:7474 -p 7687:7687 visualsoftwareanalytics/jqa-dashboard:neo4j-junit
or
$ docker run -it -p 7474:7474 -p 7687:7687 visualsoftwareanalytics/jqa-dashboard:neo4j-petclinic
⇄ Pull requests and ★ Stars are always welcome. We kindly invite you to read the contributing guide to get started.
You can find a complete list of publications on our website.