Tackling the Goliath: Effective Strategies for Reviewing Large Codebases
hackerone.com | blog | #appsec | #code-review | #security-audit | #best-practices | #collaboration | #static-analysis | #software-engineering | #code-coverage | #codebase-audit | #large-codebases
Summary
A playbook for reviewing large codebases: split the monolith into logical modules, prioritize high-impact components, use static analysis and coverage reports, and involve original authors and peers.
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- Collected
--- id: 2315 title: "Tackling the Goliath: Effective Strategies for Reviewing Large Codebases" source_domain: hackerone.com source_url: "https://www.hackerone.com/blog/tackling-goliath-effective-strategies-reviewing-large-codebases" published_at: "2023-11-29T07:06:22Z" tags: ["appsec", "code-review", "security-audit", "best-practices", "collaboration", "static-analysis", "software-engineering", "code-coverage", "codebase-audit", "large-codebases"] phying_url: "https://phying.com/item/2315" lang: en --- # Tackling the Goliath: Effective Strategies for Reviewing Large Codebases ## Summary A playbook for reviewing large codebases: split the monolith into logical modules, prioritize high-impact components, use static analysis and coverage reports, and involve original authors and peers. ## Intelligence Metadata - **Sources:** hackerone.com - **Published:** 2023-11-29T07:06:22Z - **Original:** https://www.hackerone.com/blog/tackling-goliath-effective-strategies-reviewing-large-codebases - **Phying News:** https://phying.com/item/2315