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The introduction of machine learning development paradigm into the automotive software industry has made necessary to update the applicable quality evaluation standards such as Automotive SPICE®. As a result the Automotive SPICE® community timely tackled this challenge with the introduction of the version 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 learning development practices. The outcome of this paper aims at being an input for the forthcoming improvement initiatives within the Automotive SPICE working groups.

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Critical Analysis of ASPICE® 4.0 Machine Learning Engineering Process Requirements

  • 会议论文

  • 发表日期：

    2026年

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  • Fabio Falcini,
  • Giuseppe Lami

摘要

The introduction of machine learning development paradigm into the automotive software industry has made necessary to update the applicable quality evaluation standards such as Automotive SPICE®. As a result the Automotive SPICE® community timely tackled this challenge with the introduction of the version 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 learning development practices. The outcome of this paper aims at being an input for the forthcoming improvement initiatives within the Automotive SPICE working groups.