DI Michael Pfeiffer
Researcher Software Analytics and Evolution
Phone: +43 50 343 893
michael.pfeiffer@scch.at
Software Science - SAE
R. Ramler, G. Buchgeher, C. Klammer, M. Pfeiffer, C. Salomon, H. Thaller, L. Linsbauer. Benefits and drawbacks of representing and analyzing source code and software engineering artifacts with graph databases. In D. Winkler, S. Biffl, J. Bergsmann (editors), oftware Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud - Proc. SWQD 2019, Lecture Notes in Business Information Processing, volume 338, pages 125-148, DOI 10.1007/978-3-030-05767-1_9, Springer, January, 2019.
G. Buchgeher, M. Cuénez, G. Czech, B. Dorninger, M. Exler, M. Moser, M. Pfeiffer, J. Pichler. Software Analytics and Evolution Team Report 2017. Technical Report, number SCCH-TR-18040, May, 2018.
M. Moser, M. Pfeiffer, J. Pichler. Towards reverse engineering of intermediate code for documentation generators. In M. Pinzger, G. Bavota, A. Marcus (editors), Proceedings of the 2017 IEEE 24th International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017), pages 553-554, DOI 10.1109/SANER.2017.7884673, February, 2017.
M. Moser, M. Pfeiffer, J. Pichler. Domain-specific modeling in industrial automation: Challenges and experiences. In A. Nair, H. Prähofer, A. Zoitl, R. Jetley, A. Dubey, A. Kumar (editors), Proceedings of the 1st International Workshop on Modern Software Engineering Methods for Industrial Automation (MoSEMInA 2014), pages 42-51, May/June, 2014.