Critical Analysis of ASPICE® 4.0 Machine Learning Engineering Process Requirements
Lami Giuseppe, Falcini Fabio
Critical Analysis Automotive SPICE Machine Learning Quality Evaluation
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.
Source: LECTURE NOTES IN COMPUTER SCIENCE, vol. 16362, pp. 346-352. Salerno, Italy, 1-3 December 2025
Publisher: Springer
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@inproceedings{oai:iris.cnr.it:20.500.14243/562896,
title = {Critical Analysis of ASPICE® 4.0 Machine Learning Engineering Process Requirements},
author = {Lami Giuseppe and Falcini Fabio},
publisher = {Springer},
doi = {10.1007/978-3-032-12092-2_27},
booktitle = {LECTURE NOTES IN COMPUTER SCIENCE, vol. 16362, pp. 346-352. Salerno, Italy, 1-3 December 2025},
year = {2026}
}
0000-0002-0864-6266