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Automotive engineering is recognized as a combination of software andmechanical engineering due to the ever-increasing number of software-basedcomponents in vehicles. Since vehicles have become more sophisticated thanbefore to ensure robustness, testing of automotive electronics is performed inhigh volume, producing immense test-related data.  This study investigates how unstructured and decentralized test-related datafrom testing of automotive electronics creates issues in decision making duringthe testing and analysis process of test artifacts by performing an exploratorycase-study at one of the leading automotive companies, Volvo Cars. From thefindings of the exploratory study, a prototype was designed to improve the dataand information structure and presentation for test analysis and diagnosticsfor automotive electronics. The prototype's results showed that providingbetter data and information structure significantly increases the efficiencyand reduces the workload for testers when conducting test analysis anddiagnostics. Testers showed a decrease in task load for tasks related totesting due to better information structure, presentation, correctness andaccessibility. Hence, the improvements aided the testers to arrive at decisionsregarding root cause analysis of failed tests efficiently. The findings of thisstudy can assist automotive companies in systematically investigating andimproving the testing process of automotive electronics in regards to managingand structuring test-related data.  Keywords: Testing, Automotive Electronics, Electronic Control Unit, ECU,Unstructured Data.

Structuring and presenting data for testing of automotive electronics to reduce effort during decision making