In the dynamic landscape of automotive testing, data integrity is paramount for meaningful insights. This week, we delve into the nuances of data quality checks, specifically concerning automotive test data sourced from Engine/Chassis Dynos, Vehicle ECUs, Sensors, and external measurement instrument...

In the present scenario of Automotive Test Data Analytics, a wide variety of software platforms are available that help Users perform the various processes required to analyze their Data. Solutions are available for a range of use cases and problem statements. However, one functionality which still ...

Benchmarking stands as a conventional practice in the automotive industry, serving as a vital tool for OEMs to discern how their products measure up against competitors and to gain critical insights on market dynamics. Traditionally, the evaluation of vehicles leaned heavily on the mechanical aspect...

The contemporary landscape of software-defined vehicles has given rise to increasingly complex vehicle E/E architectures. Such an environment makes it critical to ensure that the database container (DBC) files for each architecture are managed, made accessible and also safeguarded at the same time. ...