PR Size
Last updated
Last updated
The average number of lines of code added and deleted across all merged pull requests (PRs) within a specified time frame
When a PR is raised, Typo calculates the line of codes added or removed from the branch. The average of these changes in each PR over the selected time is then displayed.
Benchmarking PR size helps teams understand the impact of code changes on development cycles and project timelines, leading to more accurate planning and resource allocation. It also fosters a culture of efficiency and collaboration by encouraging developers to create concise and manageable code contributions.
Measuring PR size provides valuable insights into the development process, enabling teams to identify areas for improvement, streamline workflows, and ultimately deliver higher-quality software more efficiently. Here are a few points highlighting how it contributes to improving their efficiency:
Code Quality Assessment: PR size serves as an indicator of the complexity and comprehensiveness of code changes. By tracking PR size metrics, teams can assess the quality of code being introduced into the codebase. Smaller PR sizes often correlate with cleaner, more manageable code that is easier to review and maintain.
Efficient Code Reviews: Smaller PR sizes facilitate more efficient code review processes. Developers can review and provide feedback on smaller chunks of code more effectively, leading to faster turnaround times for PR approvals. This helps prevent bottlenecks in the review process and accelerates the pace of development.
Reduced Cycle Time: Smaller PR sizes contribute to shorter cycle times for feature development and bug fixes. With focused, incremental changes, developers can iterate more quickly, leading to faster delivery of features and enhancements to users. This agile approach fosters a more responsive development environment.
Early Detection of Issues: Larger PR sizes increase the likelihood of introducing bugs or technical debt into the codebase. By monitoring PR size metrics, teams can identify trends and patterns that may indicate areas where developers are struggling to break down tasks effectively. Early detection allows for proactive measures to address issues before they escalate.
