Data-driven Test Case Mining in the Domain of autonomous Systems
Research Problem


Technological innovations in data science and artificial intelligence research have led to increasing task automation in autonomous driving. Currently, most test engineering processes in the industry are based on manual test case specification and the accumulation of certain test mile thresholds. This test engineering is very cost- and time-consuming. But especially the test case specification and selection is influenced by human bias. A promising potential approach to overcome those drawbacks is data-driven test case mining based on big data of sensor/
Contact

Noah Metzger
Institute for Enterprise Systems
L15, 1–6 – Room 417
68161 Mannheim

Prof. Dr. Christian Bartelt
Institut für Enterprise Systems
L 15, 1–6 – Room 417
68161 Mannheim
E-mail: christian.bartelt uni-mannheim.de
Web: www.uni-mannheim.de/en/ines/about-us/researchers/dr-christian-bartelt