Community Code Review

Welcome to the website of the Community Code Review Working Group of DHTech!

Code review is a widespread technique to improve software and reduce the number of flaws. In a code review, a programmer (other than the original code author(s)) reviews the source code. They ask questions and make suggestions for improving the software. In addition to identifying and eliminating errors, code review can improve overall quality by making the source code more readable and maintainable.

Submit Code for Review   Become a Reviewer

Our Process

We are always trying to improve our code review process to fit best for the needs of the community. Currently, our process is as follows.

• We try to find two reviewers for each piece of code that is submitted for review.
• We schedule two weeks for the review to be completed.
• We schedule an half hour Zoom meeting at the beginning of the review period with both reviewers and the submitter(s) of the code to discuss general questions such as the problem the code is trying to solve, general setup requirements, and any other questions the reviewers might have.
• Reviewers and submitters are being added to a channel in the DHTech Slack workspace where they can communicate about the code and during the review process.
• Reviews are being conducted via pull requests in GitHub.
• We schedule a 1 hour wrap up Zoom meeting with reviewers and submitters to discuss the reviewer's comments on the code and any questions reviewers or submitters might have.
• Submitters are asked to recognize the work of the reviewers by adding their names to the code's repository or in other places where it makes sense.

Submission Deadlines

Our quarterly deadlines to submit code for review are as follows:

• March 31
• June 30
• September 30
• December 31

Submit Code for Review   Become a Reviewer

My code got reviewed and I liked it!

18 October 2022

In the DHtech Code Review Working Group, the chance arose to have a piece of code reviewed that I created for a research project dealing with knowledge networks, i.e. multilayer networks of people, material objects and representations of semantic concepts that can describe the spread of knowledge. At that time the code was written for my own use and I...

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