Article

AIShield – A Framework for QA in Software Development to Detect AI Generated Code

2026-02-02

Abstract excerpt

<title>Abstract</title> <p>The rapid adoption of AI-generated code introduces new challenges in software Quality assurance (QA). Current static analysis tools fail to address AI-specific anti- patterns such as hallucinated APIs, contextual discontinuities, and architectural inconsistencies. This paper presents AIShield Sentinel, a novel validation framework that combines abstract syntax tree (AST) analysis with p...

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Literature Corpus work: b2a497b8-0124-59ae-ab97-5c4c084591df
DOI: 10.21203/rs.3.rs-8590747/v1

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