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S. Ammar

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Review Jun 2026

A comprehensive analysis of security risks and productivity impacts of AI-generated code

This systematic literature review examines the dual nature of AI-generated code by analyzing peer-reviewed research to quantify productivity benefits and identify associated risks, and develops a taxonomy categorizing risks into three domains.

Shehnila Zardari, M. Osama, S. Ammar et al. · 0 citations