Daniel Elsner

According to our database, Daniel Elsner authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Green Fuzzing: A Saturation-Based Stopping Criterion using Vulnerability Prediction.

Stephan Lipp, Daniel Elsner, Severin Kacianka, Alexander Pretschner, Marcel Böhme, Sebastian Banescu

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Severity-Aware Prioritization of System-Level Regression Tests in Automotive Software.

Roland Wuersching, Daniel Elsner, Fabian Leinen, Alexander Pretschner, Georg Grueneissl, Thomas Neumeyr, Tobias Vosseler

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

DIRTS: Dependency Injection Aware Regression Test Selection.

Simon Hundsdorfer, Daniel Elsner, Alexander Pretschner

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

BinaryRTS: Cross-language Regression Test Selection for C++ Binaries in CI.

Daniel Elsner, Severin Kacianka, Stephan Lipp, Alexander Pretschner, Axel Habermann, Maria Graber, Silke Reimer

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

How to Be Non-Assertive in the 'Assertive Edition': Encoding Doubt in the Auden Musulin Papers.

Massimiliano Carloni, Daniel Elsner, Timo Frühwirth, Dimitra Grigoriou, Sandra Mayer

Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

2022

FuzzTastic: A Fine-grained, Fuzzer-agnostic Coverage Analyzer.

Stephan Lipp, Daniel Elsner, Thomas Hutzelmann, Sebastian Banescu, Alexander Pretschner, Marcel Böhme

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Build System Aware Multi-language Regression Test Selection in Continuous Integration.

Daniel Elsner, Roland Wuersching, Markus Schnappinger, Alexander Pretschner, Maria Graber, René Dammer, Silke Reimer

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

Probe-based Syscall Tracing for Efficient and Practical File-level Test Traces.

Daniel Elsner, Roland Wuersching, Markus Schnappinger, Alexander Pretschner

Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2022

Challenges in Regression Test Selection for End-to-End Testing of Microservice-based Software Systems.

Daniel Elsner, Daniel Bertagnolli, Alexander Pretschner, Rudi Klaus

Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2022

2021

How can manual testing processes be optimized? developer survey, optimization guidelines, and case studies.

Roman Haas, Daniel Elsner, Elmar Jürgens, Alexander Pretschner, Sven Apel

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Empirically evaluating readily available information for regression test optimization in continuous integration.

Daniel Elsner, Florian Hauer, Alexander Pretschner, Silke Reimer

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

2019

Deep Neural Baselines for Computational Paralinguistics.

Daniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller, Steffen Illium

Proceedings of the Interspeech 2019, 2019

DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks.

Marco Maier, Daniel Elsner, Chadly Marouane, Meike Zehnle, Christoph Fuchs

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications.

Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan D. MacCormack, Robert Lagerström

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks.

Marco Maier, Chadly Marouane, Daniel Elsner

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019