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A Systematic Review and Meta-Analysis of AI Transparency Gaps in Version Control Literature with a Proposed Taxonomy of Attribution Failures

2026-07-26

Abstract excerpt

<h4>Background: </h4> The rapid integration of artificial intelligence (AI) into software development has intensified the need for transparent version control practices. However, existing literature lacks a cohesive framework to identify, categorize, and address recurring failures in attributing AI-generated contributions within version control systems (VCS). This fragmented landscape obscures accountability, unde...

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Literature Corpus work
5a37bc0f-7843-5ae2-a48b-ba094b269aa2
DOI
10.14293/pr2199.004154.v1
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A Systematic Review and Meta-Analysis of AI Transparency Gaps in Version Control Literature with a Proposed Taxonomy of Attribution FailuresDOI 10.14293/pr2199.004154.v1
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