Evolving functional requirements create semantic drift and validation backlogs while non-functional requirements create assurance lag and compliance misalignment, propagating Requirements Debt across data, models, and systems in AI perception development.
”Automotive perception software development: An empirical investigation into data, annotation, and ecosystem challenges.” arXiv preprint arXiv:2303.05947 (2023)
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Interviews show data leakage knowledge in automotive perception is widespread yet fragmented by role, with prevention relying on experience and sharing rather than specific tools, framing it as a socio-technical coordination issue.
citing papers explorer
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Requirements Debt in AI-Enabled Perception Systems Development: An Industrial RE4AI Perspective
Evolving functional requirements create semantic drift and validation backlogs while non-functional requirements create assurance lag and compliance misalignment, propagating Requirements Debt across data, models, and systems in AI perception development.
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Data Leakage in Automotive Perception: Practitioners' Insights
Interviews show data leakage knowledge in automotive perception is widespread yet fragmented by role, with prevention relying on experience and sharing rather than specific tools, framing it as a socio-technical coordination issue.