Code Review Interface Linking Program Code With Design Intent
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Solution Overview
Problem
Manual code review methods require significant reviewer effort and time, and often lead to inefficiencies and reduced code quality due to the need for manual comparison with design documents, which can result in missed errors and inconsistencies.
Innovation Solution
A code review method that automatically associates function code with corresponding design descriptions, using commit messages and comments, and presents this association on a review interface, reducing the need for manual document retrieval and enhancing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual comparison between code and solution design document is performed, then code review thoroughness may be improved, but reviewer time and energy consumption increase significantly
Solution Approach 1:
The patent replaces the manual mechanical process of comparing code with design documents with an automated system that uses text analysis and natural language processing. The system automatically extracts code intent from comments and commit messages, retrieves relevant design document sections, and performs comparative analysis without manual intervention, thereby resolving the contradiction between thoroughness and time consumption.
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between the code repository and design document management system. This intermediary automatically associates code with its corresponding design documents, extracts relevant information, and presents it to reviewers in a structured format, reducing the time reviewers need to spend on manual document retrieval and comparison while maintaining review thoroughness.
2Loss of information
If reviewer manually retrieves and reads solution design document, then understanding of code intent is improved, but code review efficiency decreases
Solution Approach 1:
The patent extracts only the essential information from design documents that is relevant to the code being reviewed. Instead of requiring reviewers to read entire design documents, the system automatically identifies and extracts specific sections, paragraphs, or sentences that correspond to the code changes, thereby improving both understanding of code intent and review efficiency by reducing information overload.
Solution Approach 2:
The patent performs preliminary actions by automatically associating code with its corresponding design document sections before the review process begins. The system pre-extracts and prepares the relevant design information, so when reviewers access the code review interface, the necessary context is already available and organized, eliminating the need for manual document retrieval and reading during the review process.
3Ease of operation
If automatic association of code with design descriptions is implemented, then reviewer effort is reduced, but system complexity increases
Solution Approach 1:
The patent implements self-service functionality where the system automatically performs tasks that would otherwise require manual reviewer effort. The system autonomously extracts code intent from comments and commit messages, retrieves relevant design document sections, and associates them with the code. This automation reduces reviewer effort to minimal actions while the system handles the complex processing in the background.
Solution Approach 2:
The patent creates a universal system that handles multiple functions: extracting code intent from various sources (comments, commit messages), retrieving design documents from different storage locations, performing text analysis and matching, and presenting results in unified format. This multi-functional approach consolidates what would otherwise require multiple separate tools and manual processes into a single integrated system, reducing overall complexity despite the sophisticated capabilities required.
Data Source
AI summary
This disclosure provides method, an apparatus, a device cluster, and a storage medium for code review. An example method includes: presenting program code and a document on a code review interface in a column-based manner or a split-screen manner, and presenting an association relationship between the program code and the document. An association manner may be automatically or manually associating the program code with a function description in the document. When the program code or the document changes, the association relationship can be automatically updated and modified.