Optimization of Test Data in a Resource Limited Environment in Automotive Domain

Abstract

During vehicle software testing the amount of data collected is ever increasing. With bandwidth limited measurement systems, comes the need for highly optimized test setups to be able to collect as much useful data during testing as possible. In this paper, our goal is to optimize the measurement setup creation in order to ensure that collected data is optimized and usable for further analysis. The resulting approach, identification of signal requirement prioritization principles and highlighting the data set optimization principles supported with a script to automate identified principles, improves overall quality of the measurement setup.