Automotive Data Management SPICE Assessment – Comparison of Process Assessment Models

Many of the current innovations in the automotive environment revolve around autonomous driving, digitalization, connectivity, AI, and new services in the context of mobility. These innovations are based on the collection and use of data. However, the handling of data often plays a subordinate, barely visible role in today’s development and operations processes, with corresponding risks. ASPICE as an industry-standard guideline for evaluating system and software development processes helps automotive suppliers incorporate best practices to identify defects earlier in development and ensure that OEM requirements are met. With the purpose of the creation of a process model for data management that is aligned with Automotive SPICE® 3.1 and other established standards in the industry, a draft version of the Data Management SPICE was initiated by the intacs group. In this work, we are going to provide improvement potential on the content of the pilot draft of Data Management SPICE assessment, based on our industrial and academic experience in the field of Automotive and Data Management. A first comparison between Camelot Data Management Strategy Assessment and Data Management SPICE Assessment is given. Based on expert’s knowledge proposals to improve the quality and the content areas of the Data Management SPICE Assessment before issuing the released version of the standard are shown.