Publications in /owncloud/aegyed/files/Publications/isse.bib;/owncloud/aegyed/files/Publications/issemevss.bib [rss]
2019
[477] Analyzing Data Structure Growth Over Time to Facilitate Memory Leak Detection (Markus Weninger, Elias Gander, Hanspeter Mössenböck), In Proceedings of the 10th ACM/SPEC International Conference on Performance Engineering (ICPE 2019), 2019. [bib]
[476] 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]
[475] 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 (SE 2019), 2019. [bib]
[474] 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]
[473] Introduction to the special issue on quality engineering and management of software-intensive systems (Michael Felderer, Helena Holmström Olsson, Rick Rabiser), volume 149, 2019. [bib] [doi]
2018
[472] The Structure of Variable Software and its use for Testing (Stefan Fischer), PhD thesis, Johannes Kepler University (JKU), Linz, Austria, 2018. [bib]
[471] Tool Support for Restricted Use Case Specification: Findings from a Controlled Experiment (Experiment Package) (Markus Weninger, Paul Grünbacher, Huihui Zhang, Tao Yue, Shaukat Ali), Zenodo, 2018. [bib] [doi]
[470] Analyzing the Evolution of Data Structures in Trace-Based Memory Monitoring (Markus Weninger, Elias Gander, Hanspeter Mössenböck), In Proceedings 9th Symposium on Software Performance (SSP 2018), 2018. [bib]
[469] Tool Support for Restricted Use Case Specification: Findings from a Controlled Experiment (Markus Weninger, Paul Grünbacher, Huihui Zhang, Tao Yue, Shaukat Ali), In Proceedings of the 25th Asia-Pacific Software Engineering Conference (APSEC'18), 2018. [bib] [doi]
[468] Utilizing Object Reference Graphs and Garbage Collection Roots to Detect Memory Leaks in Offline Memory Monitoring (Markus Weninger, Elias Gander, Hanspeter Mössenböck), In Proceedings of the 15th International Conference on Managed Languages & Runtimes (ManLang'18), 2018. [bib] [doi]
[467] User-defined Classification and Multi-level Grouping of Objects in Memory Monitoring (Markus Weninger, Hanspeter Mössenböck), In Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018), 2018. [bib] [doi]
[466] Supporting Diagnosis of Requirements Violations in Systems of Systems (Michael Vierhauser, Jane Cleland-Huang, Rick Rabiser, Thomas Krismayer, Paul Grünbacher), In 26th IEEE International Requirements Engineering Conference, 2018. [bib] [doi]
[465] Monitoring CPS at Runtime -- A Case Study in the UAV Domain (Michael Vierhauser, Jane Cleland-Huang, Sean Bayley, Thomas Krismayer, Rick Rabiser, Paul Grünbacher), In Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), IEEE, 2018. [bib] [doi]
[464] Using Multi-System Monitoring Time Series to Predict Performance Events (Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Hanspeter Mössenböck, Paul Grünbacher), In Proceedings 9th Symposium on Software Performance (SSP 2018), 2018. [bib]
[463] Using Crash Frequency Analysis to Identify Error-prone Software Technologies in Multi-System Monitoring (Andreas Schörgenhumer, Mario Kahlhofer, Hanspeter Mössenböck, Paul Grünbacher), In 18th IEEE International Conference on Software Quality, Reliability, and Security, 2018. [bib] [doi]
[462] Multi-Purpose, Multi-Level Feature Modeling of Large-Scale Industrial Software Systems (Daniela Rabiser, Herbert Prähofer, Paul Grünbacher, Michael Petruzelka, Klaus Eder, Florian Angerer, Mario Kromoser, Andreas Grimmer), In Software and Systems Modeling, volume 17, 2018. [bib] [doi]
[461] 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 Automated Software Engineering, 2018. [bib] [doi]
[460] A Study and Comparison of Industrial vs. Academic Software Product Line Research Published at SPLC (Rick Rabiser, Klaus Schmid, Martin Becker, Goetz Botterweck, Matthias Galster, Iris Groher, Danny Weyns), In 22nd International Systems and Software Product Line Conference (SPLC 2018), 2018. [bib] [doi]
[459] A Comparison Framework for Runtime Monitoring Approaches (Journal-First Abstract) (Rick Rabiser, Sam Guinea, Michael Vierhauser, Luciano Baresi, Paul Grünbacher), In IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), IEEE, 2018. [bib] [doi]
[458] Does the Propagation of Artifact Changes across Tasks reflect Work Dependencies? (Christoph Mayr-Dorn, Alexander Egyed), In ICSE '18: 40th International Conference on Software Engineering , May 27-June 3, 2018, Gothenburg, 2018. [bib] [pdf] [doi]
[457] First International Workshop on Variability and Evolution of Software-intensive Systems (VariVolution) (Lukas Linsbauer, Somayeh Malakuti, Andrey Sadovykh, Felix Schwägerl), 2018. [bib] [doi]
[456] Variability Extraction and Modeling for Product Variants (Journal-First Abstract) (Lukas Linsbauer, Roberto Erick Lopez-Herrejon, Alexander Egyed), In 22nd International Systems and Software Product Line Conference (SPLC 2018), ACM, 2018. [bib] [doi]
[455] Multi-Objective Optimization for Reverse Engineering of Apo-Games Feature Models (Willian D. F. Mendonça, Wesley K. G. Assunção, Lukas Linsbauer), In 22nd International Systems and Software Product Line Conference (SPLC 2018), ACM, 2018. [bib] [doi]
[454] Automatic Mining of Constraints for Monitoring Systems of Systems (Thomas Krismayer), 2018. [bib] [doi]
[453] Predicting User Demographics from Music Listening Information (Thomas Krismayer, Markus Schedl, Peter Knees, Rick Rabiser), In Multimedia Tools and Applications, 2018. [bib] [doi]
Powered by bibtexbrowser