Publications of the Institute for System Software

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• Aigner Ch., Marr S.::
  Towards Ahead-of-Time Meta-Compilation of Dynamic Languages With an Extensible Type Analysis
  ICOOOLPS 2026, June 29 - July 3, 2026, Brussels, Belgium.
  
  
• Sen M., Weninger M.:
  JavaWiz ThreadViz - A Visual Debugger for Multi-threaded Programs Based on the Espresso Java VM.
  Proceedings of the European Conference on Object-Oriented Programming (ECOOP 2026), June 29 - July 3, 2026, Brussels, Belgium.
  
  
• Schrott, T.; Häubl, Ch.; Mössenböck, H.; Marr S.:
  A Unifying Approach to Supporting Multiple Garbage Collectors in AOT-compiled Binaries. (accepted for publication)
  23rd ACM SIGPLAN Intl. Conf. on Managed Programming Languages and Runtimes (MPLR’26), June 30, 2026, Brussels, Belgium.
  
  
• Pichler, Ch.; Urban-Förster, B.; Li, P.; Schatz, R.; Marr, S.:
  To Compile or Not To Compile: Evaluating Static Heuristics to Reduce Binary Size of Hybrid Execution Systems. (accepted for publication)
  23rd ACM SIGPLAN Intl. Conf. on Managed Programming Languages and Runtimes (MPLR’26), June 30, 2026, Brussels, Belgium.
  
  
• Groher, I.; Vierhauser, M.; Weninger, M.:
  Bringing AI into the Classroom: A Structured Approach for Integrating AI into Software Engineering Education.
  Proceedings of the 18th International Conference on Computer Supported Education (CSEDU), May 18 - 20, 2026, Benidorm, Spain.
  
  
• Urbanides, K.; Weninger, M.; Ertl, O.:
  Analyzing and Improving Floating-Point Compression for Application Monitoring Time Series.
  Companion of the 2026 International Conference on Management of Data (SIGMOD/PODS), May 31 - June 5, 2026, Bengaluru, India.
  
  
• Berlakovich, F.; Schwarcz, F.; Barany, G.; Mössenböck, H.; Brunthaler, St.:
  LOOL: Low-Overhead, Optimization-Log-Guided Compiler Fuzzing - RCR Report (accepted for publication)
  ACM Transactions on Software Engineering and Methodology.
  
  
• Huemer, F.; Prokopec, A.; Leopoldseder, D.; Mosaner, R.; Mössenböck, H.:
  Partial-Evaluation Templates: Accelerating Partial Evaluation with Pre-compiled Templates. [preprint]
  2026 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), January 31 - February 4, 2026, Sydney, Australia.
  
  

• Schoenberger, F.; Weninger, M.:
  OpenTelemetry Instrumentation using Kotlin Multiplatform Compiler Plugins.
  Symposium on Software Performance (SSP'25), Nov. 04-05, 2025, Kiel, Germany.
  
  
• Bader, L.; Weninger, M.:
  Simplifying Kotlin Compile-Time Code Instrumentation.
  Symposium on Software Performance (SSP'25), Nov. 04-05, 2025, Kiel, Germany.
  
  
• Pichler, Ch.; Urban-Förster, B.; Li, P.; Schatz, R.; Mössenböck, H.:
  Fast and Compact: Reducing Size of AOT-Compiled Java Code Without Sacrificing Performance.
  22nd ACM SIGPLAN Intl. Conf. on Managed Programming Languages and Runtimes (MPLR’25), Oct.14, 2025, Singapore.
  
  
• Pröll, R.; Weninger, M.:
  SaaS Observability on the Microsoft Power Platform and its Performance Impacts. [preprint]
  13th IEEE International Conference on Cloud Engineering (IC2E 2025), September 23-26, 2025, Rennes, France.
  
  
• Herber, T.; Weninger, M.:
  Trace-Based Bytecode Interpreter Visualization for Compiler Construction Education. [preprint]
  IEEE Working Conference on Software Visualization (VISSOFT 2025), September 7-8, 2025, Auckland, New Zealand. (Best Paper Award).
  
  
• Kloibhofer S.; Makor L.; Hofer P.; Leopoldseder D.; Mössenböck H.:
  Profile-Guided Field Externalization in an Ahead-of-Time Compiler. [also as HTML]
  European Conference on Object-Oriented Programming (ECOOP'25), 30 June - 4 July, 2025, Bergen, Norway, Leibniz International Proceedings in Informatics (LIPIcs), Vol. 333, pp. 19:1-19:32
  
  
• Makor L.; Kloibhofer S.; Hofer P.; Leopoldseder D.; Mössenböck H.:
  Automated Profile-Guided Replacement of Data Structures to Reduce Memory Allocation.
  The Art, Science, and Engineering of Programming, 2025, Vol. 10, Issue 1, Article 3
  Presentation at the <Programming> Conference 2025, Jun 02-06, 2025, Prague, Czech Republic
  
  
• Weninger, M.; Grünbacher, S.; Prähofer, H.:
  JavaWiz: A Trace-Based Graphical Debugger for Software Development Education. [preprint]
  33rd IEEE/ACM International Conference on Program Comprehension (ICPC 2025), April 27-28, 2025, Ottawa, Canada
  
  

• Weninger, M.:
  Tracing Performance Metrics in Kotlin Multiplatform Projects via Compile-Time Code Instrumentation. [preprint]
  Symposium on Software Performance (SSP'24), Nov. 06-07, 2024, Linz, Austria
  
  
• Pichler, Ch.; Li, P.; Schatz, R.; Mössenböck, H.:
  On Automating Hybrid Execution of Ahead-of-Time and Just-in-Time Compiled Code.
  Workshop on Virtual Machines and Language Implementations (VMIL'24), co-located with SPLASH'24, Oct. 20-25, 2024, Pasadena, CA, USA, pp.1-11
  
  
• Schwarcz, F.; Berlakovich, F.; Barany, G.; Mössenböck, H.:
  LOOL: Low-Overhead, Optimization-Log-Guided Compiler Fuzzing.
  3rd Intl. ACM Fuzzing Workshop (FUZZING'24), Sept. 16, 2024, Vienna, Austria, pp.42-51
  
  
• Aigner, Ch.; Barany, G.; Mössenböck, H.:
  Lazy Sparse Conditional Constant Propagation in the Sea of Nodes.
  21st ACM SIGPLAN Intl. Conf. on Managed Programming Languages and Runtimes (MPLR’24), Sept. 16–20, 2024, Vienna, Austria, pp.2-13
  
  
• Huemer, F.; Leopoldseder, D.; Prokopec, A.; Mosaner, R.; Mössenböck, H.:
  Taking a Closer Look: An Outlier-Driven Approach to Compilation-Time Optimization.
  European Conference on Object-oriented Programming (ECOOP'24), Sept. 16-20, 2024, Vienna, Austria, pp.20:1-20:28
  
  

• Garn, J.; Angerer, F.; Mössenböck, H.:
  Generating Java Interfaces for Accessing Foreign Objects.
  Work-in-progress paper. Intl. Conf. on Managed Programming Languages & Runtimes (MPLR’23), Oct. 22, 2023, Lisbon, pp.173-178
  
  
• Pfeffer, D.; Weninger, M.:
  On the Applicability of Annotation-based Source Code Modification in Kotlin.
  Work-in-progress paper. Intl. Conf. on Managed Programming Languages & Runtimes (MPLR’23), Oct. 22, 2023, Lisbon, pp.2-11
  
  
• Pichler, Ch.; Li, P.; Schatz, R.; Mössenböck, H.:
  Hybrid Execution: Combining Ahead-of-Time and Just-in-Time Compilation.
  Intl. Workshop on Virtual Machines and Language Implementations (VMIL'23), Oct. 23, 2023, Lisbon, pp.39-49
  
  
• Pekarek, D.; Mössenböck, H.:
  Extraction of Virtual Machine Execution Traces.
  Work-in-progress paper. Intl. Workshop on Virtual Machines and Language Implementations (VMIL'23), Oct. 23, 2023, Lisbon, pp.94-99
  
  
• Pichler, Ch:
  Interoperability between Execution Modes on GraalVM.
  Student Research Competition, Int. Symposium on Code Generation and Optimization (CGO'23), Feb.25-Mar.1, 2023, Montreal, Canada
  
  
• Kloibhofer, S; Makor, L.; Leopoldseder, D.; Bonetta, D; Stadler, L; Mössenböck, H.:
  Control Flow Duplication for Columnar Arrays in a Dynamic Compiler.
  The Programming Journal, vol. 7, issue 3, article 9, February 2023, pp.1-38
  Presentation at the <Programming> Conference 2023, March 13-17, 2023, Tokyo, Japan
  
  

• Mosaner, R.; Barany, G.; Leopoldseder, D.; Mössenböck, H.:
  Improving Vectorization Heuristics in a Dynamic Compiler with Machine Learning Models.
  Workshop on Virtual Machines and Language Implementations (VMIL'22), at SPLASH'22, Dec.5-10, 2022, Auckland, New Zealand, pp.36-47
  
  
• Hinterreiter, D.; Linsbauer, L.; Prähofer, H.; Grünbacher, P.:
  Feature-oriented clone and pull operations for distributed development and evolution.
  In: Software Quality Journal, 2022, pp. 1-28, 2022.
  
  
• Kreindl, J.; Bonetta, D.; Stadler, L.; Leopoldseder, D.; Mössenböck, H.:
  Dynamic Taint Analysis with Label-Defined Semantics.
  19th Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'22), Brussels, Sept. 14-15, 2022, pp.64-84
  
  
• Kreindl, J.; Bonetta, D.; Stadler, L.; Leopoldseder, D.; Mössenböck, H.:
  Polyglot, Label-Defined Dynamic Taint Analysis in TruffleTaint.
  Demonstration, 19th Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'22), Brussels, Sept. 14-15, 2022, pp.152–153
  
  
• Makor, L.; Kloibhofer, S.; Leopoldseder, D.; Bonetta, D.; Stadler, L.; Mössenböck, H.:
  Automatic Array Transformation to Columnar Storage at Run Time.
  19th Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'22), Brussels, Sept. 14-15, 2022, pp.16-28
  
  
• Kloibhofer, S.; Makor, L.; Leopoldseder, D.; Bonetta, D.; Stadler, L.; Mössenböck, H.:
  Automatically Transforming Arrays to Columnar Storage at Run Time.
  Poster, 19th Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'22), Brussels, Sept. 14-15, 2022, pp.16-28
  
  
• Mosaner, R.; Leopoldseder, D.; Kisling, W.; Stadler, L.; Mössenböck, H.:
  Machine-Learning-Based Self-optimizing Compiler Heuristics.
  19th Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'22), Brussels, Sept. 14-15, 2022, pp.98–111
  
  
• Mosaner, R.; Leopoldseder, D.; Kisling, W.; Stadler, L.; Mössenböck, H.:
  Compilation Forking: A Fast and Flexible Way of Generating Data for Compiler-Internal Machine Learning Tasks.
  The Programming Journal, vol. 7, issue 1, article 3, June 2022, pp.1-29
  
  

• Kloibhofer, S.:
  Run-time Data Analysis to Drive Compiler Optimizations.
  SPLASH Doctoral Symposium at SPLASH'21, Oct. 17-22, 2021, Chicago, IL, USA
  
  
• Makor, L.:
  Run-Time Data Analysis in Dynamic Runtimes.
  SPLASH Doctoral Symposium at SPLASH'21, Oct. 17-22, 2021, Chicago, IL, USA
  
  
• Kloibhofer, S.:
  Run-time Data Analysis to Drive Compiler Optimizations.
  ACM Student Research Competition at SPLASH'21, Oct. 17-22, 2021, Chicago, IL, USA, pp.9-12
  
  
• Makor, L.:
  Run-Time Data Analysis in Dynamic Runtimes.
  ACM Student Research Competition at SPLASH'21, Oct. 17-22, 2021, Chicago, IL, USA, pp.6-8
  
  
• Latifi, F.; Leopoldseder, D.; Wimmer, C.; Mössenböck, H.:
  CompGen: Generation of Fast JIT Compilers in a Multi-Language VM.
  17th Dynamic Languages Symposium (DLS'21) at SPLASH'21, Oct. 17-22, 2021, Chicago, IL, USA, pp.34-47
  
  
• Kreindl, J.; Bonetta, D.; Stadler, L.; Leopoldseder, D.; Mössenböck, H.:
  Low-Overhead Multi-Language Dynamic Taint Analysis on Managed Runtimes through Speculative Optimization.
  18th Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'21), Sept. 29-30, 2021, Münster, Germany, pp.70-87.
  
  
• Mosaner, R.; Leopoldseder, D.; Stadler, L.; Mössenböck, H.:
  Using Machine Learning to Predict the Code Size Impact of Duplication Heuristics in a Dynamic Compiler.
  WIP paper, 18th Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'21), Sept. 29-30, 2021, Münster, Germany, pp.127-135.
  
  
• Pekarek, D.; Mössenböck, H.:
  Architecture-Agnostic Dynamic Type Recovery.
  WIP paper, 18th Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'21), Sept. 29-30, 2021, Münster, Germany, pp.54-60.
  
  
• Schörgenhumer, A.; Natschläger, T.; Grünbacher, P.; Kahlhofer, M.; Chalupar, P.; Mössenböck, H.:
  An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring.
  Euromicro Conference on Software Engineering and Advanced Applications (SEAA'21), September 1-3, 2021, Palermo, Italy, pp.178-187
  
  
• Weninger, M.; Gander, E.; Mössenböck, H.:
  Guided Exploration: A Method for Guiding Novice Users in Interactive Memory Monitoring Tools.
  Proceedings of the ACM on Human-Computer Interaction (PACMHCI'21), Vol. 5, Issue EICS, Article 209, 2021, pp.1-34.
  
  
• Aumayr, D.; Marr, S.; Kaleba, S.; Gonzalez Boix, E.; Mössenböck, H.:
  Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record & Replay.
  The Art, Science, and Engineering of Programming, Vol. 5, Issue 3, Article 14, 2021, pp.1-38.
  
  
• Feichtinger, Kevin; Hinterreiter, Daniel; Linsbauer, Lukas; Prähofer, Herbert; Gränbacher, Paul:
  Guiding Feature Model Evolution by Lifting Code-Level Dependencies.
  Journal of Computer Languages, Vol. 63, April 2021, pp.1-17.
  
  
• Hinterreiter, D.; Linsbauer, L.; Grrünbacher, P.; Prähofer, H.:
  Feature-Oriented Clone and Pull for Distributed Development and Evolution.
  International Conference on the Quality of Information and Communications Technology (QUATIC), Online, pp. 67-81, 2021.
  
  

• Hinterreiter, Daniel; Linsbauer, Lukas; Feichtinger, Kevin; Prähofer, Herbert; Grünbacher, Paul:
  Supporting Feature-Oriented Evolution in Industrial Automation Product Lines.
  In: Concurrent Engineering: Research and Applications, vol. 28, pp. 265-279, 2020.
  
  
• Mosaner, R.:
  Machine Learning to Ease Understanding of Data Driven Compiler Optimizations.
  Doctoral Symposium at SPLASH'20, November 15-20, 2020, Online, pp.4-6
  
  
• Weninger, M.; Makor, L.; Mössenböck, H.:
  Memory Leak Analysis using Time-Travel-based and Timeline-based Tree Evolution Visualizations.
  7th Conference on Smart Tools and Applications in Graphics (STAG'20), November 12 - 13, 2020, Online, pp.1-13 (Best Paper Award).
  
  
• Schörgenhumer, A.; Grünbacher, P.; Mössenböck, H.:
  Selecting Time Series Clustering Methods based on Run-Time Costs.
  11th Symposium on Software Performance (SSP'20) - published in GI Softwaretechnik-Trends, November 12 - 13, 2020, Leipzig, Germany, Paper no.1.
  
  
• Weninger, M.; Makor, L.; Mössenböck, H.:
  Heap Evolution Analysis Using Tree Visualizations.
  11th Symposium on Software Performance (SSP'20) - published in GI Softwaretechnik-Trends, November 12 - 13, 2020, Leipzig, Germany, Paper no.6.
  
  
• Weninger, M.; Gander, E.; Mössenböck, H.:
  Investigating High Memory Churn via Object Lifetime Analysis to Improve Software Performance.
  11th Symposium on Software Performance (SSP'20) - published in GI Softwaretechnik-Trends, November 12 - 13, 2020, Leipzig, Germany, Paper no.7.
  
  
• Hinterreiter, Daniel; Grünbacher, Paul; Prähofer, Herbert:
  Visualizing Feature-Level Evolution in Product Lines: A Research Preview.
  In: Proceedings of the 26th International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ) (Madhavji, Nazim; Pasquale, Liliana, eds.), vol. 12045, Essen, Germany, pp. 1-7, 2020.
  
  
• Kreindl, J.; Bonetta, D.; Stadler, L.; Leopoldseder, D.; Mössenböck, H.:
  Multi-language Dynamic Taint Analysis in a Polyglot Virtual Machine.
  17th International Conference on Managed Programming Languages and Runtimes (MPLR'20), November 4, 2020, Virtual UK, pp.15-29
  
  
• Kloibhofer, S.; Pointhuber, T.; Heisinger, M.; Mössenböck, H.; Stadler, L.; Leopoldseder, D.:
  SymJEx: Symbolic Execution on the GraalVM.
  17th International Conference on Managed Programming Languages and Runtimes (MPLR'20), November 4, 2020, Virtual UK, pp.63-72
  
  
• Pekarek, D.; Mössenböck, H.:
  trcview: Interactive Architecture-agnostic Execution Trace Analysis.
  17th International Conference on Managed Programming Languages and Runtimes (MPLR'20), November 4, 2020, Virtual UK, pp.89-97
  
  
• Weninger, M.; Makor, L.; Mössenböck, H.
  Memory Cities: Visualizing Heap Memory Evolution Using the Software City Metaphor - Artifact (Binaries, Data Sets, Video, Instructions).
  8th IEEE Working Conference on Software Visualization (VISSOFT'20), 28-29 September, 2020, Adelaide, Australia (moved online) (Successful Artifact Evaluation)
  
  
• Weninger, M.; Makor, L.; Mössenböck, H.
  Memory Cities: Visualizing Heap Memory Evolution Using The Software City Metaphor.
  8th IEEE Working Conference on Software Visualization (VISSOFT'20), 28-29 September, 2020, Adelaide, Australia (moved online), pp.110-121 (Best Paper Award)
  
  
• Langdon, W.; Krauss, O.:
  Evolving sqrt into 1/x via Software Data Maintenance
  Genetic and Evolutionary Computation Conference (GECCO'20), July 8-12, 2020, Cancun, Mexico, pp.1928-2936.
  
  
• Dorfmeister D.; Krauss, O.:
  Integrating HeuristicLab with Compilers and Interpreters for Non-Functional Code Optimization
  Genetic and Evolutionary Computation Conference (GECCO'20), July 8-12, 2020, Cancun, Mexico, pp.1580-1588.
  
  
• Krauss, O.; Mössenböck H.; Affenzeller M.:
  Towards Knowledge-guided Genetic Improvement
  2020 IEEE/ACM Intl. Workshop on Genetic Improvement (GI) at ICSE'20, June, 2020, Seoul, South Korea, pp.293-294.
  
  
• Weninger, M.; Grünbacher, P.; Gander, E.; Schörgenhumer, A.:
  Evaluating an Interactive Memory Analysis Tool: Findings from a Cognitive Walkthrough and a User Study [preprint]
  Proceedings of the ACM on Human-Computer Interaction, Vol. 4, No. EICS, Article No.75, June 2020.
  
  
• Krauss, O.; Langdon, W.:
  Automatically Evolving Lookup Tables for Function Approximation
  European Conference on Generic Programming (EuroGP'20), Seville, Spain, April 15–17, 2020, pp.84-100.

• Langdon, W.; Weimer W.; Timperley C.; Krauss O.; Ding Z.; Lyu Y.; Chausseau N., et al.:
  The State and Future of Genetic Improvement
  SIGSOFT Software Engineering Notes, vol.44, no.3 (Nov. 2019), pp.25–29.
  
  
• Weninger, M.; Makor, L.; Mössenböck, H.:
  Memory Leak Visualization using Evolving Software Cities
  10th Symposium on Software Performance (SSP'19) - published in GI Softwaretechnik-Trends, November 4 - 6, 2019, Würzburg, Germany.
  
  
• Schörgenhumer, A.; Kahlhofer, M.; Chalupar, P.; Mössenböck, H.; Grünbacher, P.:
  On the Difficulties of Supervised Event Prediction based on Unbalanced Real-World Data in Multi-System Monitoring
  10th Symposium on Software Performance (SSP'19) - published in GI Softwaretechnik-Trends, November 4 - 6, 2019, Würzburg, Germany.
  
  
• Latifi, F.:
  Practical Second Futamura Projection: Partial Evaluation for High-Performance Language Interpreters.
  Doctoral Symposium at SPLASH'19, 20-25 October, 2019, Athens, Greece.
  In SPLASH Companion Proceedings, 2019, pp.29-31.
  3rd price at the ACM Student Research Competition at SPLASH'19.
  
  
• Aumayr, D.:
  Debugging support for multi-paradigm concurrent programs.
  Doctoral Symposium at SPLASH'19, 20-25 October, 2019, Athens, Greece.
  In SPLASH Companion Proceedings, 2019, pp.38-40.
  
  
• Aumayr, D.; Marr, S.; Gonzalez Boix E.; Mössenböck, H.:
  Asynchronous Snapshots of Actor Systems for Latency-Sensitive Applications.
  Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'19), 20-25 October, 2019, Athens, Greece, pp.157–171.
  
  
• Hinterreiter, D.; Nieke, M.; Linsbauer, L.; Seidl, C.h; Prähofer, H-; Grünbacher, P.:
  Harmonized Temporal Feature Modeling to Uniformly Perform, Track, Analyze, and Replay Software Product Line Evolution
  18th International Conference on Generative Programming: Concepts & Experiences (GPCE), Athens, Greece, 2019, pp. 115-128.
  
  
• Feichtinger, K.; Hinterreiter, D.; Linsbauer, L.; Prähofer, H.; Grünbacher, P.:
  Supporting Feature Model Evolution by Suggesting Constraints from Code-Level Dependency Analyses
  18th International Conference on Generative Programming: Concepts & Experiences (GPCE), Athens, Greece, 2019, pp. 129-142.
  
  
• Kreindl, J.; Bonetta, D.; Mössenböck, H.:
  Towards Efficient, Multi-Language Dynamic Taint Analysis.
  Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'19), 20-25 October, 2019, Athens, Greece.
  
  
• Mosaner, R.; Leopoldseder, D.; Rigger, M.; Schatz, R.; Mössenböck, H.:
  Supporting On-Stack Replacement in Unstructured Languages by Loop Reconstruction and Extraction.
  Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'19), 20-25 October, 2019, Athens, Greece.
  
  
• Weninger, M.; Gander, E.; Mössenböck, H.:
  Detection of Suspicious Time Windows in Memory Monitoring.
  Intl. Conf. on Managed Programming Languages and Runtimes (MPLR'19), 20-25 October, 2019, Athens, Greece.
  
  
• Rigger, M; Marr, S.; Adams, B.; Mössenböck, H.:
  Understanding GCC Builtins to Develop Better Tools.
  European Software Engineering Conference (ESEC/FSE'19), 26-30 August, 2019, Tallin, Estonia, pp.74-85.
  
  
• Prokopec, A.; Rosà, A.; Leopoldseder, D.; Duboscq, G.; Tuma, P.; Studener, M.; Bulej, L.; Zheng, Y.; Villazón, A.; Simon, D.; Wuerthinger, T.; Binder, W:
  Renaissance: Benchmarking Suite for Parallel Applications on the JVM.
  Intl. Conf. on Programming Language Design and Implementation (PLDI'19), June 22-26, 2019, Phoenix, Arizona, USA, pp.31-47.
  
  
• Krauss, O.; Mössenböck, H.; Affenzeller, M.:
  Mining Patterns from Genetic Improvement Experiments
  6th Intl. Workshop on Genetic Improvement (GI'19) at ICSE'19, May 28, 2019, Montreal, Canada, pp.1-2.
  
  
• Hinterplattner, S.; Sabitzer, B.; Demarle-Meusel, H.; Mössenböck, H.:
  Promoting Talents for Computer Science
  11th Intl. Conf. on Computer Supported Education (CSEDU'19), May 2-4, 2019, Heraklion, Greece, pp.1-8.
  
  
• Weninger, M.; Gander, E.; Mössenböck, H.:
  Analyzing Data Structure Growth Over Time to Facilitate Memory Leak Detection
  10th ACM/SPEC Intl. Conf. on Performance Engineering (ICPE'19), April 7-11, 2019, Mumbai, India, pp.273-284.
  
  
• Weninger, M.; Makor, L.; Gander, E.; Mössenböck, H.:
  AntTracks TrendViz: Configurable Heap Memory Visualization Over Time
  WIP paper, 10th ACM/SPEC Intl. Conf. on Performance Engineering (ICPE'19), April 7-11, 2019, Mumbai, India, pp.29-32.
  
  
• Schörgenhumer, A.; Kahlhofer, M.; Grünbacher, P.; Mössenböck, H.:
  Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems?
  WIP paper, 10th ACM/SPEC Intl. Conf. on Performance Engineering (ICPE'19), April 7-11, 2019, Mumbai, India, pp.9-12.
  
  
• Hinterreiter, D.; Feichtinger, K.; Linsbauer, L.; Prähofer, H.; Grünbacher, P.:
  Supporting Feature Model Evolution by Lifting Code-Level Dependencies
  25th Intl. Working Conf. on Requirements Engineering: Foundation for Software Quality (REFSQ'19), March 18-21, 2019, Essen, Germany, pp.169-175.
  
  
• Angerer, F.; Grimmer, A.; Prähofer, H.; Grünbacher, P.,:
  Change Impact Analysis for Maintenance and Evolution of Variable Software Systems
  Automated Software Engineering, Springer, February 2019, pp.1-45.
  
  
• Prokopec, A.; Duboscq, G.; Leopoldseder, D.; Würthinger, T.:
  An Optimization-Driven Incremental Inline Substitution Algorithm for Just-In-Time Compilers.
  Intl. Symp. on Code Generation and Optimization (CGO'19), February 16-20, 2019, Washington DC, USA, pp.164-179.
  
  
• Schörgenhumer, A.; Kahlhofer, M.; Chalupar, P.; Grünbacher, P.; Mössenböck, H.:
  A Framework for Preprocessing Multivariate, Topology-Aware Time Series and Event Data in a Multi-System Environment [Preprint]
  19th IEEE Intl. Symp. on High Assurance Systems Engineering (HASE'19), Jan 3-5, 2019, Hangzhou, China, pp.115-122.