Daniel Elsner
According to our database1,
Daniel Elsner
authored at least 17 papers
between 2019 and 2024.
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Bibliography
2024
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024
2023
PhD thesis, 2023
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.
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023
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.
Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023
2022
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.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022
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.
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.
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.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021
2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019