Christopher Oßner

Christopher Oßner is a Researcher at the Karlsruhe Institute of Technology, affiliated with the Information Management Systems department under Prof. Klemens Böhm. His work focuses on applying data mining and graph mining techniques to software error localization, particularly in complex and multithreaded programs.

Research Interests

Oßner’s research bridges Computer Science and Software Engineering, emphasizing Graph Mining and Fault Localization to improve software reliability through scalable algorithms and dynamic program analysis.

Publications & Research Trends

His publications highlight the use of graph mining for defect detection in multithreaded environments and hierarchical analysis of dynamic call graphs, reflecting expertise in Parallel Programming and Data Mining Techniques.

Academic Advising

Oßner has supervised student projects, including:

• David Schowalter: Clustering call graphs for fault localization
• Klevis Polena: Frequent subgraph mining using hierarchies
• Herve Dongmo Kana: Preprocessing edge weights for graph mining
• Jonas Reinsch: Call graph mining-based fault localization in multi-threaded programs

Teaching

In 2011, he taught an internship on Data Warehousing and Mining during the summer semester (SS 2011).