Analysing ODX Data

Transparency and security for ODX data from different sources

In everyday development, ODX data often does not originate from in-house creation, but is taken from different manufacturers and suppliers. The same technical facts can be modelled in different ways. In order to use, evaluate and further develop diagnostic functions correctly, a deep understanding of the underlying ODX structure is required.

DSA supports OEMs in the systematic analysis and classification of existing ODX data sets. The aim is to make the origin, structure and meaning of the diagnostic data traceable and to ensure its suitability for use in diagnostic and test environments. The analysis is carried out on a control unit basis as well as across the entire vehicle, regardless of whether the ODX data was created internally or supplied by external partners.

ODX structure and modelling analysis

Analysis of the structure and modelling of existing ODX data
Understanding different modelling approaches for the same diagnostic content
Testing of diagnostic services, data identifiers and error codes
Identification of inconsistencies, redundancies and deviations
Evaluation of usability in diagnostic and test systems

PRODIS.OFT is used as an ODX-compliant front-loading tester for the analysis and understanding of ODX data. PRODIS.OFT enables structured navigation through ODX content and helps to make the origin, meaning and effects of individual diagnostic elements in the system context comprehensible.

ODX analysis creates transparency about existing diagnostic data, reduces risks during integration and use, and forms a robust basis for stable diagnostic functions and the targeted further development of existing diagnostic systems.