Browse by Projects by Type

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Number of items: 10.

2020

Hasselbring, W. and van Hoorn, A. (2020) Kieker: A monitoring framework for software engineering research Software Impacts, 5 . pp. 1-5. DOI 10.1016/j.simpa.2020.100019.

Schnoor, H. and Hasselbring, W. (2020) Comparing Static and Dynamic Weighted Software Coupling Metrics Computers, 9 (2). p. 24. DOI 10.3390/computers9020024.

Henning, S. (2019) Monitoring Electrical Power Consumption with Kieker Softwaretechnik-Trends, 39 (3). pp. 31-33.

Jung, R. and Adolf, M. (2019) The JPetStore Suite: A concise Experiment Setup for Research Softwaretechnik-Trends, 39 (3). pp. 40-42.

Krause, A., Zirkelbach, C. and Hasselbring, W. (2019) Simplifying Software System Monitoring through Application Discovery with ExplorViz Softwaretechnik-Trends, 39 (3). pp. 46-48.

Vögele, C., van Hoorn, A., Schulz, E., Hasselbring, W. and Krcmar, H. (2018) WESSBAS: extraction of probabilistic workload specifications for load testing and performance prediction—a model-driven approach for session-based application systems Software & Systems Modeling, 17 (2). pp. 443-477. DOI 10.1007/s10270-016-0566-5.

Jung, R., Adolf, M. and Dornieden, C. (2017) Towards Extracting Realistic User Behavior Models Softwaretechnik-Trends, 37 (3). pp. 11-13.

Knoche, H. (2017) Refactoring Kieker's I/O Infrastructure to Improve Scalability and Extensibility Softwaretechnik-Trends, 37 (3). pp. 17-19.

Knoche, H. and Eichelberger, H. (2017) The Raspberry Pi: A Platform for Replicable Performance Benchmarks? Softwaretechnik-Trends, 37 (3). pp. 14-16.

Focke, T., Hasselbring, W., Schute, J. G. and Rohr, M. (2007) Ein Vorgehensmodell für Performance-Monitoring von Informationssystemlandschaften EMISA Forum, 27 (1). pp. 26-31.

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