Contribute to the DSpace Development Fund
The newly established DSpace Development Fund supports the development of new features prioritized by DSpace Governance. For a list of planned features see the fund wiki page.
This page is dedicated to gathering resources / brainstorms for how to incentivize / encourage community developers to help with Code Reviewing and Pull Request Testing
General Goals / Ideas
- We need to find a way to encourage more reviewers from our large community of developers. Lots of people doing a small number of tests/reviewers scales very well.
- Document the incentives for people to do reviewers / functional testing.
- Find a way to make the codebase easier to work with. We've done some of this with Docker. But we should investigate ways to spin up DSpace in a temporary, virtual environment with minimal configuration/steps. This would allow anyone to more easily interact with & test individual PRs
- Find a way to acknowledge code reviews / functional testing in Release Notes in the same way as development/code is acknowledged.
Resources to make Developers feel welcome
General Goal: Find a way to encourage other developers to get involved & help out in small ways
- New Developers Hub - Draft docs for new developers started by Hardy Pottinger
Resources for making Code Reviews / Testing easier
General Goal: Find a way to make the codebase easier to work with & test PRs with.
- Testing DSpace 7 Pull Requests - How to use existing Docker scripts to spin up PRs more easily locally, in order to test them or review them.
- Spin up code in virtual environment (quickly) for easier reviews/testing
- GitHub CodeSpaces: https://docs.github.com/en/codespaces/overview
- Tim Donohue has played with this, and it's possible to spin up DSpace 7 in CodeSpaces. However, you need to use a 4 Core / 8GB RAM machine type (otherwise, the UI will often fail to build with an "error 137" - meaning it ran out of memory during the build process). Connecting the UI to a running Backend is also not super-easy right now, as codespaces assigns a random URL. We'd need to likely provide a Codespaces configuration for DSpace to make this easier.
- May be a way to use our Docker scripts in CodeSpaces, but it's not easy yet. See https://notes.alexkehayias.com/running-docker-compose-in-codespaces/
- GitPod: https://www.gitpod.io/for/opensource
- GitHub CodeSpaces: https://docs.github.com/en/codespaces/overview
- Automated Code Reviewing resources. Tools/resources exist which can do some automatic checking/verification of code quality in Pull Requests. Some examples include:
- Code Scanning in GitHub. We already do some of this, but currently we only scan for security-oriented code issues.
- Free & integrated into GitHub. Interface is a bit clunky at times though.
- Highly Configurable (e.g. see query types)
- Could configure this to also check PR code quality against coding best practices (currently we only scan for major bugs / security issues). See these settings
- SonarCloud.io - This is a hosted version of SonarQube.
- Free for open source projects. Integrates with GitHub & supports both Java and TypeScript. Can run on every new PR.
- Example projects: https://sonarcloud.io/explore/projects
- Test analysis run by Tim on DSpace backend/frontend: https://sonarcloud.io/organizations/tdonohue/projects (Keep in mind, there are definitely false positives listed here. These are just raw reports)
- Pros: Highly Configurable Used by other major OS projects like Apache. Good documentation/resources on how to fix any issues that are found. SonarQube is open source itself.
- DeepSource
- Free for open source projects. Integrates with GitHub & supports both Java and TypeScript. Can run on every new PR.
- Test analysis run by Tim on DSpace backend/frontend (Keep in mind, there are definitely false positives listed in both. These are just raw reports)
- Not as configurable, but able to turn off individual rules if they are too "noisy" or not useful.
- Pros: Some "autofix" options. Good documentation/resources on how to fix any issues that are found.
- Code Scanning in GitHub. We already do some of this, but currently we only scan for security-oriented code issues.
Resources for acknowledging code reviewers / testers
General Goal: Find a way to acknowledge / track code reviewers so that we can more easily include them in Release Notes (and include this as a form of contribution for service providers). Ideal is that it is either automated or semi-automated (e.g. a report that can be run regularly per release)
- All Contributors: https://github.com/all-contributors/all-contributors
- Great resource for acknowledging all types of contribution. However, it'd be nice if we could find a way to do this per release (i.e. in Release Notes) rather than just in general README.
- "Top Contributors" https://github.com/tdonohue/top-contributors
- Old (unmaintained) project from Tim Donohue to try to highlight/acknowledge top reviewers/code contributors per month using data from GitHub's API.
- Old demo at https://tdonohue.github.io/top-contributors/
- Maybe look at whether it's possible to adapt this to give similar stats per release?