False positives can sometimes arise when a code plagiarism checker mistakenly flags the original code as copied. Managing these cases correctly ensures accurate plagiarism detection without unnecessary concerns.

Why Do False Positives Occur?

False positives often result from:

• Common Algorithms & Libraries – Standard functions or frameworks appear in multiple projects.
• Boilerplate Code – Frequently used templates and structures may trigger matches.
• Auto-Generated Code – IDE-generated snippets or open-source dependencies may resemble existing work.

How to Handle False Positives in Codequiry

• Analyze the Report: Review flagged sections to differentiate between actual plagiarism and common practices.
• Adjust Sensitivity Settings: Codequiry allows customization of similarity thresholds to minimize misidentifications.
• Verify Sources Manually: Cross-check the reported sources to ensure originality before taking action.
• Use Custom Exclusions: Filter out standard libraries and known templates for more accurate results.

Ensuring Accurate Detection with Codequiry

By effectively handling false positives, you gain a precise and reliable plagiarism check without unnecessary confusion. Codequiry’s advanced Code Similarity Checker Tool minimizes false positives while thoroughly analyzing code originality. Protect your projects with Codequiry’s Code Plagiarism Checker today!