Code Quality Evaluation Standards and Metrics

Good code should be clean, easy to understand, and help developers quickly locate and fix issues, thereby accelerating development cycles, reducing bug‑fix time, and facilitating onboarding and team collaboration.

Code Quality Evaluation Standards

While experienced developers can subjectively judge code quality, a consensus‑based set of standards is needed to achieve consistent assessments.

Commonly used standards include coding conventions, readability, maintainability, duplication, and testability.

Coding Conventions These cover adherence to best practices and team style guides, avoidance of problematic patterns, and mitigation of potential security vulnerabilities, all of which improve collaboration and maintainability.

Readability Code reviews are an effective way to assess readability; if peers can easily understand the code, its readability is high. Following coding conventions also enhances readability.

Maintainability Maintainability results from clear layering, modular design, high cohesion, low coupling, and interface‑driven programming, as well as factors such as codebase size, business complexity, technology stack, and documentation completeness.

Duplication Following the "Don’t Repeat Yourself" principle reduces redundant code. Regular duplication analysis helps identify repetitive blocks for refactoring into shared methods or components.

Testability Testability reflects code quality; poorly testable code is hard to unit‑test and often indicates design flaws.

Beyond these, many other quality criteria exist, but teams typically select a subset of widely accepted rules to define their own standards.

Code Quality Dimensions

The current version of @iceworks/doctor evaluates code across five dimensions:

Best Practices: Analyzes the project with @iceworks/eslint-plugin-best-practices, providing recommendations tailored to Ice and Rax projects to improve performance and avoid potential bugs.

Security Practices: Scans the code with @iceworks/eslint-plugin-security-practices to detect security risks such as unsafe URLs, sensitive keywords, plaintext credentials, and npm package certificate issues.

Alibaba Coding Standards: Reports compliance with the eslint-config-ali rule set.

Maintainability: Uses typhonjs‑escomplex to evaluate each file's maintainability, readability, and complexity, offering deeper analysis for low‑scoring files.

Duplication: Calculates code clone ratios with jscpd, listing duplicated blocks to help developers locate and refactor them into shared components.

The overall project quality score is calculated by a weighted average of these five dimensions, with extra weight given to the lowest‑scoring dimension (the "bottleneck" effect).

Project Address

GitHub repository: https://github.com/ice-lab/iceworks/tree/master/

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