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| [246] | Evaluating an Interactive Memory Analysis Tool: Findings from a Cognitive Walkthrough and a User Study (Markus Weninger, Paul Grünbacher, Elias Gander, Andreas Schörgenhumer), In Proceedings of the ACM on Human-Computer Interaction, volume 4, 2020.
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| [243] | Selecting Time Series Clustering Methods based on Run-Time Costs (Andreas Schörgenhumer, Paul Grünbacher, Hanspeter Mössenböck), In Proceedings 11th Symposium on Software Performance (SSP 2020), 2020.
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| [242] | Evolution in Dynamic Software Product Lines (Clément Quinton, Michael Vierhauser, Rick Rabiser, Luciano Baresi, Paul Grünbacher, Christian Schumayer), In Journal of Software: Evolution and Process, John Wiley & Sons, 2020.
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| [241] | Mining Feature Revisions in Highly-Configurable Software Systems (Gabriela Karoline Michelon, David Obermann, Wesley K. G. Assunção, Lukas Linsbauer, Paul Grünbacher, Alexander Egyed), 2020.
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| [239] | Foreword to the special issue on empirical research in requirements engineering: Best papers of REFSQ 2019 (Eric Knauss, Michael Goedicke, Paul Grünbacher), 2020.
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| [238] | Supporting Feature-Oriented Evolution in Industrial Automation Product Lines (Daniel Hinterreiter, Lukas Linsbauer, Kevin Feichtinger, Herbert Prähofer, Paul Grünbacher), In Concurrent Engineering: Research and Applications, 2020.
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| [236] | The Interplay of Design and Runtime Traceability for Non-Functional Requirements (Michael Vierhauser, Jane Cleland-Huang, Janet Burge, Paul Grünbacher), 2019.
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| [233] | A Framework for Preprocessing Multivariate, Topology-Aware Time Series and Event Data in a Multi-System Environment (Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Paul Grünbacher, Hanspeter Mössenböck), In Proceedings of the 19th IEEE International Symposium on High Assurance Systems Engineering (HASE'19), 2019.
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| [231] | Developing and Evolving a DSL-based Approach for Runtime Monitoring of Systems of Systems (Rick Rabiser, Jürgen Thanhofer-Pilisch, Michael Vierhauser, Paul Grünbacher, Alexander Egyed), In Software Engineering and Software Management (SE), Stuttgart, Germany, 2019.
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| [230] | A User Study on the Usefulness of Visualization Support for Requirements Monitoring (Lisa Maria Kritzinger, Thomas Krismayer, Rick Rabiser, Paul Grünbacher), In 7th IEEE Working Conference on Software Visualization, IEEE, 2019.
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| [229] | Comparing Constraints Mined From Execution Logs to Understand Software Evolution (Thomas Krismayer, Michael Vierhauser, Rick Rabiser, Paul Grünbacher), In Proceedings of the 35th IEEE International Conference on Software Maintenance and Evolution (ICSME), 2019.
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| [228] | A Constraint Mining Approach to Support Monitoring Cyber-Physical Systems (Thomas Krismayer, Rick Rabiser, Paul Grünbacher), In Proceedings of the 31st International Conference on Advanced Information Systems Engineering (CAiSE) (Paolo Giorgini, Barbara Weber, eds.), Springer International Publishing, volume 11483, 2019.
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| [227] | Mining Constraints for Monitoring Systems of Systems (Thomas Krismayer, Rick Rabiser, Paul Grünbacher), In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, ACM, 2019.
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| [226] | Using Constraint Mining to Analyze Software Development Processes (Thomas Krismayer, Christoph Mayr-Dorn, Johann Tuder, Rick Rabiser, Paul Grünbacher), In Proceedings of the International Conference on Software and Systems Process, IEEE, 2019.
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| [225] | ReMinds-CMT: An Interactive Tool Supporting Constraint Mining for Requirements Monitoring (Thomas Krismayer, Peter Kronberger, Rick Rabiser, Paul Grünbacher), 2019.
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