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Daniel Elsner
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2020 – today
- 2023
- [b1]Daniel Elsner:
Integrating System and Process Characteristics into Regression Test Optimization. Technical University of Munich, Germany, 2023 - [c15]Massimiliano Carloni, Daniel Elsner, Timo Frühwirth, Dimitra Grigoriou, Sandra Mayer:
How to Be Non-Assertive in the 'Assertive Edition': Encoding Doubt in the Auden Musulin Papers. DH 2023 - [c14]Daniel Elsner, Severin Kacianka, Stephan Lipp, Alexander Pretschner, Axel Habermann, Maria Graber, Silke Reimer:
BinaryRTS: Cross-language Regression Test Selection for C++ Binaries in CI. ICST 2023: 327-338 - [c13]Roland Wuersching, Daniel Elsner, Fabian Leinen, Alexander Pretschner, Georg Grueneissl, Thomas Neumeyr, Tobias Vosseler:
Severity-Aware Prioritization of System-Level Regression Tests in Automotive Software. ICST 2023: 398-409 - [c12]Simon Hundsdorfer, Daniel Elsner, Alexander Pretschner:
DIRTS: Dependency Injection Aware Regression Test Selection. ICST 2023: 422-432 - [c11]Stephan Lipp, Daniel Elsner, Severin Kacianka, Alexander Pretschner, Marcel Böhme, Sebastian Banescu:
Green Fuzzing: A Saturation-Based Stopping Criterion using Vulnerability Prediction. ISSTA 2023: 127-139 - 2022
- [c10]Daniel Elsner, Daniel Bertagnolli, Alexander Pretschner, Rudi Klaus:
Challenges in Regression Test Selection for End-to-End Testing of Microservice-based Software Systems. AST@ICSE 2022: 1-5 - [c9]Daniel Elsner, Roland Wuersching, Markus Schnappinger, Alexander Pretschner:
Probe-based Syscall Tracing for Efficient and Practical File-level Test Traces. AST@ICSE 2022: 126-137 - [c8]Stephan Lipp, Daniel Elsner, Thomas Hutzelmann, Sebastian Banescu, Alexander Pretschner, Marcel Böhme:
FuzzTastic: A Fine-grained, Fuzzer-agnostic Coverage Analyzer. ICSE-Companion 2022: 75-79 - [c7]Daniel Elsner, Roland Wuersching, Markus Schnappinger, Alexander Pretschner, Maria Graber, René Dammer, Silke Reimer:
Build System Aware Multi-language Regression Test Selection in Continuous Integration. ICSE (SEIP) 2022: 87-96 - 2021
- [c6]Daniel Elsner, Florian Hauer, Alexander Pretschner, Silke Reimer:
Empirically evaluating readily available information for regression test optimization in continuous integration. ISSTA 2021: 491-504 - [c5]Roman Haas, Daniel Elsner, Elmar Jürgens, Alexander Pretschner, Sven Apel
:
How can manual testing processes be optimized? developer survey, optimization guidelines, and case studies. ESEC/SIGSOFT FSE 2021: 1281-1291
2010 – 2019
- 2019
- [c4]Marco Maier, Chadly Marouane, Daniel Elsner:
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. AAMAS 2019: 2108-2110 - [c3]Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan D. MacCormack, Robert Lagerström:
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications. HICSS 2019: 1-10 - [c2]Marco Maier, Daniel Elsner, Chadly Marouane, Meike Zehnle, Christoph Fuchs:
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. IJCAI 2019: 1415-1421 - [c1]Daniel Elsner, Stefan Langer, Fabian Ritz
, Robert Müller, Steffen Illium
:
Deep Neural Baselines for Computational Paralinguistics. INTERSPEECH 2019: 2388-2392 - [i1]Daniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller, Steffen Illium:
Deep Neural Baselines for Computational Paralinguistics. CoRR abs/1907.02864 (2019)
Coauthor Index
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