Publications of Grünbacher [rss]
2021
[248] A Domain Analysis of Resource and Requirements Monitoring: Towards a Comprehensive Model of the Software Monitoring Domain (Rick Rabiser, Klaus Schmid, Holger Eichelberger, Michael Vierhauser, Paul Grünbacher), In Software Engineering (SE 2021), 2021. [bib]
[247] Concepts of Variation Control Systems (Lukas Linsbauer, Felix Schwägerl, Thorsten Berger, Paul Grünbacher), In Journal of Systems and Software, volume 171, 2021. [bib] [doi]
2020
[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. [bib] [doi]
[245] Unleashing the Business Potential of Software: A Summary of the Third International Workshop on Software-intensive Business (Xiaofeng Wang, Paul Grünbacher, Sami Hyrynsalmi, Kari Smolander), 2020. [bib] [doi]
[244] ACM SIGSOFT International Workshop on Software-Intensive Business: Start-ups, Platforms, and Ecosystems (Kari Smolander, Paul Grünbacher, Sami Hyrynsalmi, Slinger Jansen), volume 45, 2020. [bib] [doi]
[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. [bib]
[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. [bib] [doi]
[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. [bib]
[240] Locating Feature Revisions in Software Systems Evolving in Space and Time (Gabriela Karoline Michelon, David Obermann, Lukas Linsbauer, Wesley K. G. Assunção, Paul Grünbacher, Alexander Egyed), In 24rd International Systems and Software Product Line Conference, 2020. [bib]
[239] Foreword to the special issue on empirical research in requirements engineering: Best papers of REFSQ 2019 (Eric Knauss, Michael Goedicke, Paul Grünbacher), 2020. [bib] [doi]
[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. [bib] [doi]
[237] Visualizing Feature-Level Evolution in Product Lines: A Research Preview (Daniel Hinterreiter, Paul Grünbacher, Herbert Prähofer), In Proceedings of the 26th International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ) (Nazim Madhavji, Liliana Pasquale, eds.), volume 12045, 2020. [bib] [doi]
2019
[236] The Interplay of Design and Runtime Traceability for Non-Functional Requirements (Michael Vierhauser, Jane Cleland-Huang, Janet Burge, Paul Grünbacher), 2019. [bib] [doi]
[235] On the Difficulties of Supervised Event Prediction based on Unbalanced Real-World Data in Multi-System Monitoring (Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Hanspeter Mössenböck, Paul Grünbacher), In Proceedings 10th Symposium on Software Performance (SSP 2019), 2019. [bib]
[234] Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems? (Andreas Schörgenhumer, Mario Kahlhofer, Paul Grünbacher, Hanspeter Mössenböck), In Proceedings of the 10th ACM/SPEC International Conference on Performance Engineering, ACM, 2019. [bib] [doi]
[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. [bib] [doi]
[232] A Domain Analysis of Resource and Requirements Monitoring: Towards a Comprehensive Model of the Software Monitoring Domain (Rick Rabiser, Klaus Schmid, Holger Eichelberger, Michael Vierhauser, Sam Guinea, Paul Grünbacher), In Information and Software Technology, volume 111, 2019. [bib] [doi]
[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. [bib] [pdf] [doi]
[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. [bib] [doi]
[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. [bib] [doi]
[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. [bib] [doi]
[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. [bib] [doi]
[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. [bib] [doi]
[225] ReMinds-CMT: An Interactive Tool Supporting Constraint Mining for Requirements Monitoring (Thomas Krismayer, Peter Kronberger, Rick Rabiser, Paul Grünbacher), 2019. [bib]
[224] Supporting the Selection of Constraints for Requirements Monitoring from Automatically Mined Constraint Candidates (Thomas Krismayer, Peter Kronberger, Rick Rabiser, Paul Grünbacher), In Proceedings of the 25th International Working Conference on Requirements Engineering: Foundation for Software Quality, 2019. [bib] [doi]
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