Artemis was initially generated using JHipster 6.10.3. (Documentation and help)
Artemis supports the following exercises:
- Programming exercises with version control and automatic assessment with test cases and continuous integration
- Quiz exercises with multiple choice, drag and drop and short answer quiz questions
- Modeling exercises with semi-automatic assessment using machine learning concepts
- Text exercises with manual (and experimental semi-automatic) assessment
- File upload exercises with manual assessment
All these exercises are supposed to be run either live in the lecture with instant feedback or as homework. Students can submit their solutions multiple times within the due date and use the (semi-)automatically provided feedback to improve their solution.
Find here a guide on how to set up your local development environment.
You can find the guide for setting up Artemis in conjunction with Jenkins and GitLab here and Bamboo/Bitbucket/Jira here
You can find information on how to setup user registration here
Find here a guide on how to contribute to Artemis.
The following diagram shows the top-level design of Artemis which is decomposed into an application client (running as Angular web app in the browser) and an application server (based on Spring Boot). For programming exercises, the application server connects to a version control system (VCS) and a continuous integration system (CIS). Authentication is handled by an external user management system (UMS).
While Artemis includes generic adapters to these three external systems with a defined protocol that can be instantiated to connect to any VCS, CIS or UMS, it also provides 3 concrete implementations for these adapters to connect to:
- VCS: Atlassian Bitbucket Server
- CIS: Atlassian Bamboo Server
- UMS: Atlassian JIRA Server (more specifically Atlassian Crowd on the JIRA Server)
To build and optimize the Artemis application for production, run:
./gradlew -Pprod -Pwar clean bootWar
This will create a Artemis-.war file in the folder build/libs. The build command compiles the TypeScript into JavaScript files, concatenates and minifies the created files (including HTML and CSS files). It will also modify index.html so it references these new files. To ensure everything worked, run the following command to start the application on your local computer:
java -jar build/libs/*.war --spring.profiles.active=dev,artemis,bamboo,bitbucket,jira
(You might need to copy a yml file into the folder build/libs before, also see development setup)
Then navigate to http://localhost:8080 in your browser.
Refer to Using JHipster in production for more details.
The following command can automate the deployment to a server. The example shows the deployment to the main Artemis test server (which runs a virtual machine):
./artemis-server-cli deploy [email protected] -w build/libs/Artemis-4.4.5.war
The following UML deployment diagram shows a typical deployment of Artemis application server and application client. Student, Instructor and Teaching Assistant (TA) computers are all equipped equally with the Artemis application client being displayed in the browser.
The Continuous Integration Server typically delegates the build jobs to local build agents within the university infrastructure or to remote build agents, e.g. hosted in the Amazon Cloud (AWS).
The Artemis application server used the following data model in the MySQL database. It supports multiple courses with multiple exercises. Each student in the participating student group can participate in the exercise by clicking the Start Exercise button. Then a repository and a build plan for the student (User) will be created and configured. The initialization state variable (Enum) helps to track the progress of this complex operation and allows to recover from errors. A student can submit multiple solutions by committing and pushing the source code changes to a given example code into the version control system or using the user interface. Each submission is automatically tested by the continuous integration server, which notifies the Artemis application server, when a new result exists. In addition, teaching assistants can assess student solutions and "manually" create results. The current data model is more complex and supports different types of exercises such as programming exercises, modeling exercises, quiz, and text exercises.
The following UML component diagram shows more details of the Artemis application server architecture and its REST interfaces to the application client.
