Daniel Elsner

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 16

Top Topics

Locally Weighted

User Experience

Physiological Data

Papers Published

Top Venues

Publications

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)
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)
Stephan Lipp, Daniel Elsner, Severin Kacianka, Alexander Pretschner, Marcel Böhme, Sebastian Banescu
Green Fuzzing: A Saturation-Based Stopping Criterion using Vulnerability Prediction. ISSTA (2023)
Simon Hundsdorfer, Daniel Elsner, Alexander Pretschner
DIRTS: Dependency Injection Aware Regression Test Selection. ICST (2023)
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)
Stephan Lipp, Daniel Elsner, Thomas Hutzelmann, Sebastian Banescu, Alexander Pretschner, Marcel Böhme
FuzzTastic: A Fine-grained, Fuzzer-agnostic Coverage Analyzer. ICSE-Companion (2022)
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)
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)
Daniel Elsner, Roland Wuersching, Markus Schnappinger, Alexander Pretschner
Probe-based Syscall Tracing for Efficient and Practical File-level Test Traces. AST@ICSE (2022)
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)
Daniel Elsner, Florian Hauer, Alexander Pretschner, Silke Reimer
Empirically evaluating readily available information for regression test optimization in continuous integration. ISSTA (2021)
Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan D. MacCormack, Robert Lagerström
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications. HICSS (2019)
Marco Maier, Chadly Marouane, Daniel Elsner
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. AAMAS (2019)
Daniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller, Steffen Illium
Deep Neural Baselines for Computational Paralinguistics. INTERSPEECH (2019)
Daniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller, Steffen Illium
Deep Neural Baselines for Computational Paralinguistics. CoRR (2019)
Marco Maier, Daniel Elsner, Chadly Marouane, Meike Zehnle, Christoph Fuchs
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. IJCAI (2019)