The introduction of machine learning development paradigm into the automotive software industry has made necessary to update the applicable qual- ity evaluation standards such as Automotive SPICE®. As a result the Automotive SPICE® community timely tackled this challenge with the introduction of the ver- sion 4.0 containing a first baseline of process requirements for machine learning engineering. The paper provides a succinct critical analysis of related ASPICE® new content with particular reference to the current state of the art of machine learn- ing development practices. The outcome of this paper aims at being an input for the forthcoming improvement initiatives within the Automotive SPICE working groups.

Critical Analysis of ASPICE® 4.0 Machine Learning Engineering Process Requirements

Lami Giuseppe
;
Falcini Fabio
2026

Abstract

The introduction of machine learning development paradigm into the automotive software industry has made necessary to update the applicable qual- ity evaluation standards such as Automotive SPICE®. As a result the Automotive SPICE® community timely tackled this challenge with the introduction of the ver- sion 4.0 containing a first baseline of process requirements for machine learning engineering. The paper provides a succinct critical analysis of related ASPICE® new content with particular reference to the current state of the art of machine learn- ing development practices. The outcome of this paper aims at being an input for the forthcoming improvement initiatives within the Automotive SPICE working groups.
2026
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-3-032-12091-5
Critical Analysis, Machine Learning, Automotive SPICE, Quality Evaluation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/562896
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