Research

Here you can find an overview on my published and work-in-progress research work.
As of 2019, my research focus is on feature-oriented development and evolution of industrial software ecosystems. My work includes research in the area of feature modelling, or more specifically on evolution-aware feature modelling. Additionally, variability tracing and feature-aware static code analysis and change-impact analysis.
http://mevss.jku.at/?page_id=1946

Published Research

Daniel Hinterreiter. 2018. “Supporting feature-oriented development and evolution in industrial software ecosystems“, In Proceedings of the 22nd International Systems and Software Product Line Conference – Volume 2 (SPLC ’18), Philippe Collet, Jianmei Guo, Jabier Martinez, Christoph Seidl, Julia Rubin, Oscar Diaz, Mukelabai Mukelabai, and Thorsten Berger (Eds.), Vol. 2. ACM, New York, NY, USA, 79-86.
URL: https://doi.org/10.1145/3236405.3236425

D. Hinterreiter, H. Prähofer, L. Linsbauer, P. Grünbacher, F. Reisinger and A. Egyed, “Feature-Oriented Evolution of Automation Software Systems in Industrial Software Ecosystems“, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Turin, 2018, pp. 107-114.
URL: https://doi.org/10.1109/ETFA.2018.8502557

Hinterreiter D., Feichtinger K., Linsbauer L., Prähofer H., Grünbacher P. (2019) Supporting Feature Model Evolution by Lifting Code-Level Dependencies: A Research Preview. In: Knauss E., Goedicke M. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2019. Lecture Notes in Computer Science, vol 11412. Springer, Cham
URL: https://doi.org/10.1007/978-3-030-15538-4_12

Feichtinger K., Hinterreiter D., Linsbauer L., Prähofer H., and Grünbacher P. (2019) Supporting feature model evolution by suggesting constraints from code-level dependency analyses. In Proceedings of the 18th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE 2019). ACM, New York, NY, USA, 129-142.
URL: https://doi.org/10.1145/3357765.3359525

Hinterreiter D., Nieke M., Linsbauer L., Seidl C., Prähofer H., and Grünbacher P. (2019) Harmonized temporal feature modeling to uniformly perform, track, analyze, and replay software product line evolution. In Proceedings of the 18th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE 2019). ACM, New York, NY, USA, 115-128.
URL: https://doi.org/10.1145/3357765.3359515

Work-in-Progress

  • Journal Paper extension for “Supporting feature model evolution by suggesting constraints from code-level dependency analyses”
  • Journal Paper extension for “Feature-Oriented Evolution of Automation Software Systems in Industrial Software Ecosystems”
  • PhD Thesis on Supporting feature-oriented Development and Evolution in Industrial Software Ecosystems