Vitality Analysis Overview
This document provides an overview of the various analyses performed by Vitality to ensure high code quality, performance, and operational efficiency.
Cyclomatic complexity measures the complexity of a program by determining the number of linearly independent paths through the code. Lower cyclomatic complexity indicates simpler, more maintainable code.
Halstead metrics analyze the operators and operands within the code to measure complexity. Key metrics include:
- Halstead Length: Total number of operators and operands.
- Halstead Volume: Size of the implementation of the algorithm.
- Halstead Difficulty: Difficulty of the program.
- Halstead Effort: Effort required to develop or maintain the code.
The Maintainability Index measures how maintainable (easy to support and change) the source code is. It is calculated using cyclomatic complexity, Halstead volume, and lines of code. Higher values indicate better maintainability.
Coupling measures how closely connected different modules or components are. High coupling can lead to complexity and maintenance challenges. Vitality identifies and reduces unnecessary coupling to improve modularity.
The Instability Index evaluates the stability of a module by analyzing its incoming and outgoing dependencies. High instability indicates a module is highly dependent on others, increasing its risk of breaking changes.
Cyclic dependencies occur when modules depend on each other directly or indirectly, forming a cycle. These dependencies complicate builds and maintenance. Vitality helps identify and eliminate cyclic dependencies.
Code duplication (cloning) occurs when identical or similar code appears in multiple locations. Vitality detects and provides insights for refactoring duplicated code to improve maintainability.
ESLint identifies and fixes problems in JavaScript code. Vitality integrates ESLint to enforce coding standards and detect issues such as syntax errors, code smells, and stylistic problems.
Lighthouse audits web applications for performance and accessibility. Key metrics include:
- Performance: Speed and responsiveness of the application.
- Accessibility: Usability for users with disabilities.
Vitality ensures adherence to React best practices, including:
- Proper use of hooks and state management.
- Modular and reusable components.
- Avoidance of anti-patterns.
- Rendering and performance optimizations.
Vitality examines project dependencies to identify:
- Outdated or vulnerable dependencies.
- Opportunities to reduce dependency bloat.
Vitality detects obsolete or deprecated code and libraries, recommending updates or removals for:
- Deprecated APIs and functions.
- Outdated libraries and frameworks.
- Unused or obsolete code.
Vitality integrates DORA Metrics to measure software delivery performance, including:
- Deployment Frequency: How often deployments occur (higher is better).
- Lead Time for Changes: Time from code commit to production deployment (shorter is better).
- Mean Time to Recovery (MTTR): Time taken to recover from failures (shorter is better).
- Change Failure Rate: Percentage of changes that result in failures (lower is better).
Vitality monitors CI/CD pipelines to identify bottlenecks and optimize:
- Build times and success rates.
- Automated test coverage and reliability.
- Deployment duration and feedback loops.
By performing these analyses, Vitality ensures that your codebase is of high quality, maintainable, secure, and operationally efficient. Incorporating both code-level metrics and DevOps performance insights provides a holistic view of software quality and delivery health.
For further assistance, please contact our support team or open an issue on GitHub.
