Static Code Analysis

Sep 21, 2021

Dec 20, 2023

2 minutes

codereviewn3nxsecurity

Static Code Analysis (SCA) is a crucial component of our software development lifecycle to ensure code quality and security. The following plan outlines the key aspects of our Static Code Analysis process:

Objective

• Identify and mitigate security vulnerabilities, coding errors, and maintain code quality.

Tools

• Utilize industry-standard static code analysis tools such as:
  • SonarQube
  • Checkmarx
  • PMD
  • ESLint (for JavaScript/TypeScript)
  • Bandit (for Python)

Integration

• Integrate static code analysis into the Continuous Integration/Continuous Deployment (CI/CD) pipeline to automate the process.

Frequency

• Run static code analysis on every code commit and pull request.
• Schedule periodic full scans of the entire codebase.

Custom Rules

• Implement custom coding rules aligned with the project's coding standards and security requirements.

Issues Tracking

• Automatically generate and track issues for identified vulnerabilities or code quality concerns.
• Prioritize issues based on severity and impact.

Reporting

• Share analysis reports with developers, highlighting issues and providing remediation guidance.
• Ensure visibility of the analysis results in the project's documentation.

Remediation

• Developers are responsible for addressing identified issues promptly.
• Implement a process for tracking and verifying issue resolution.

Training

• Provide training sessions to developers on interpreting and addressing static code analysis findings.
• Encourage proactive engagement with the analysis tools.

Review

• Periodically review and update the static code analysis ruleset to adapt to evolving best practices and project requirements.

Continuous Improvement

• Solicit feedback from developers to enhance the effectiveness of the static code analysis process.
• Regularly assess the impact of static code analysis on overall code quality and security posture.

By incorporating static code analysis into our development workflow, we aim to proactively identify and rectify potential issues, ensuring the reliability, security, and maintainability of our codebase. Thank you for contributing to code excellence!