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Towards a Collaborative Repository for the Documentation of Service-Based Antipatterns and Bad Smells

J. Bogner, T. Boceck, M. Popp, D. Tschechlov, S. Wagner, and A. Zimmermann. 2019 IEEE International Conference on Software Architecture Companion (ICSA-C 2019), page 95-101. IEEE, (2019)
DOI: 10.1109/ICSA-C.2019.00025

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Dennis Treder-Tschechlov University of Stuttgart

Dennis Bauer University of Stuttgart

Dennis Maier University of Stuttgart

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Other publications of authors with the same name

Towards a Collaborative Repository for the Documentation of Service-Based Antipatterns and Bad SmellsJ. Bogner, T. Boceck, M. Popp, D. Tschechlov, S. Wagner, and A. Zimmermann. 2019 IEEE International Conference on Software Architecture Companion (ICSA-C 2019), page 95-101. IEEE, (2019)Efficient exploratory clustering analyses in large-scale exploration processesM. Fritz, M. Behringer, D. Tschechlov, and H. Schwarz. The VLDB journal, 31 (4): 711-732 (2022)Increasing Explainability of Clustering Results for Domain Experts by Identifying Meaningful FeaturesM. Behringer, P. Hirmer, D. Treder-Tschechlov, and B. Mitschang. Proceedings of the 24th International Conference on Enterprise Information Systems, 2, page 364-373. Setúbal, SciTePress, (2022)Exploiting domain knowledge to address class imbalance and a heterogeneous feature space in multi-class classificationV. Hirsch, P. Reimann, D. Treder-Tschechlov, H. Schwarz, and B. Mitschang. The VLDB journal, (2023)Connecting Domain Experts and Data : Enriching User-Centric Data Analysis with Neural Network-Aided Data Source SuggestionM. Behringer, D. Treder-Tschechlov, J. Voggesberger, P. Hirmer, and B. Mitschang. Enterprise Information Systems : 25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24-26, 2023, Revised Selected Papers, Part I, 518, page 289-309. Cham, Springer, (2024)Democratizing clustering analyses : AutoML, meta-learning, and ensemble clustering to support novice analystsD. Treder-Tschechlov. Universität Stuttgart, Stuttgart, Dissertation, (2024)SDRank : A Deep Learning Approach for Similarity Ranking of Data Sources to Support User-Centric Data AnalysisM. Behringer, D. Treder-Tschechlov, J. Voggesberger, P. Hirmer, and B. Mitschang. Proceedings of the 25th International Conference on Enterprise Information Systems, 1, page 419-428. Setúbal, SciTePress, (2023)