Logo TraceTronic GmbH

TraceTronic GmbH

TraceTronic accompanies all phases of the development processes and control units software and develops individual hardware and software solutions. These include, for example, individual software tools for the test automation (ECU-TEST), for the automated evaluation of measurement data (TRACE-CHECK) and for the management, analysis and visualization of test executions and results (TEST-GUIDE).

Clients are predominantly developed companies in the automotive industry, such as Audi, BMW, Bosch, Continental, Delphi, Porsche and VW, and also manufacturers of agricultural, work and construction machines, such as Caterpillar and CNH as well as suppliers of industry automation solutions, such as LG and Siemens. Since its founding, TraceTronic has cooperated intensively with research institutes. Current collaborations are with TU Dresden, the HTW Dresden, the TU Chemnitz or the Fraunhofer Institute. In the project “Quantitative Verification: From Model Checking to Model Measuring” (EP/H0056117/1) and “Mobile Robotics: Enabling a Pervasive Technology of the Future” (EP/M019918/1), TraceTronic is also partner of the Oxford University, in particular with regard to the testing and verification methods for autonomous driving. TraceTronic is, among other things, in the standardization unit ASAM, as well as in the industry associations, such as Cool Silicon.

Based on the experiences regarding the development and usage of standard software for the test automation and assessment, TraceTronic compiled, in the context of the third subproject, methods and software building blocks for the tool chain. Generic test descriptions for the requirements of the highly-automated driving were developed, which can be carried out with the help of different OEM tool chains. Current test automation solutions were aligned to the new requirements, for example, with regard to the parameter space and variant diversity. In order to take into account the large variant diversity and the high safeguarding requirements of highly-automated driving functions, current approaches for the trace analysis and mass data trace analysis were further pursued and new methods for the automated assessment of the large and complex quantities of simulation and test drive data were established.