Code Review Process ER Diagram Template
This ER diagram template maps the full code review lifecycle from PR open to merge, ideal for engineering teams documenting their development workflows.
An ER diagram for the code review process captures every entity involved in taking a pull request from creation to merge—developers, reviewers, pull requests, comments, approvals, and repositories—along with the relationships that connect them. Each entity holds its own attributes: a pull request tracks its status, branch name, and timestamps; a review comment stores its body, line reference, and resolution state; an approval records who signed off and when. By modeling these relationships explicitly, teams gain a shared, unambiguous reference for how their review workflow is structured in the underlying data, whether that data lives in GitHub, GitLab, Jira, or a custom internal tool.
## When to Use This Template
Reach for this ER diagram template when you are designing or auditing the database schema that powers a code review tool, onboarding engineers to an existing review system, or documenting compliance requirements around who approved what and when. It is equally useful when integrating a third-party review platform with internal systems—having a clear entity map prevents mismatched field assumptions that cause bugs at the integration layer. Product managers and engineering leads also use it during sprint planning to align on what data needs to be captured before building new review-related features such as automated checks, SLA tracking, or reviewer assignment rules.
## Common Mistakes to Avoid
One frequent error is collapsing the PR and the code diff into a single entity. A pull request is a workflow object with status and participants, while a diff or file change is a content object with its own lifecycle; keeping them separate prevents schema bloat and query confusion. Another mistake is omitting the review round or iteration entity. Code review rarely ends after one pass, and without modeling review rounds you lose the ability to track how many cycles a PR went through before merge—a key metric for process improvement. Finally, avoid treating approval as a simple boolean on the PR entity. Approval belongs as its own entity linked to both a reviewer and a PR, so you can support multiple required approvers, capture timestamps, and handle approval revocations cleanly. Taking the time to normalize these relationships in your ER diagram before writing a single line of schema SQL will save significant refactoring effort later.
View Code Review Process as another diagram type
- Code Review Process as a Flowchart →
- Code Review Process as a Sequence Diagram →
- Code Review Process as a Class Diagram →
- Code Review Process as a State Diagram →
- Code Review Process as a User Journey →
- Code Review Process as a Gantt Chart →
- Code Review Process as a Mind Map →
- Code Review Process as a Timeline →
- Code Review Process as a Git Graph →
- Code Review Process as a Requirement Diagram →
- Code Review Process as a Node-based Flow →
- Code Review Process as a Data Chart →
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FAQ
- What entities should be included in a code review process ER diagram?
- Core entities include Repository, Pull Request, Developer (as both author and reviewer), Review, Review Comment, Approval, and Merge Event. Each captures a distinct object in the workflow with its own attributes and relationships.
- How does an ER diagram differ from a flowchart for modeling a code review process?
- A flowchart shows the sequence of steps in the review process, while an ER diagram shows the data entities and their relationships. Use an ER diagram when designing a database schema or documenting data structure; use a flowchart when communicating the order of human actions.
- Can this ER diagram template be adapted for GitHub, GitLab, or Bitbucket workflows?
- Yes. The core entities—pull request, reviewer, comment, and approval—exist across all major platforms. You may need to add platform-specific attributes such as GitHub's requested reviewers array or GitLab's merge request approvals ruleset, but the base template applies universally.
- What cardinality relationships are most important to define in a code review ER diagram?
- Key cardinalities include: one Repository to many Pull Requests, one Pull Request to many Reviews, one Review to many Comments, and many Developers to many Pull Requests through the Reviewer role. Getting these right ensures your schema supports real-world review scenarios accurately.