How to Use Generative AI in Android Automotive IVI Development and Stay ASPICE Compliant

Generative AI is making Android Automotive infotainment (IVI) development faster. Studies cited in the paper report up to 55.8% faster task completion. But OEM requirements for traceability, review, and audit evidence haven’t shrunk. This whitepaper by Debashis Panigrahi of Sasken Technologies explains how automotive teams can use AI coding assistants and still meet Automotive SPICE (ASPICE) expectations. It introduces the Prompt and Output Evaluation (PEW) Workflow. This is a tool-agnostic, five-stage process in which every merged change carries an evidence bundle. The bundle contains a work-item reference, independent technical and process reviews, CI, test and static analysis results, and a named approver. The paper maps PEW to ASPICE processes SYS.2-3 and SWE.1-6. It shares results from an internal multi-app IVI reference program. It also gives OEMs and Tier-1 suppliers practical recommendations and supplier-review questions for making AI-assisted development auditable.

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By Debashis Panigrahi
Debashis Panigrahi provides an overview of AUTOMOTIVE TRANSFORMATION in his white paper.
How to Use Generative AI in Android Automotive IVI Development and Stay ASPICE Compliant