Michael Kläs
According to our database1,
Michael Kläs
authored at least 46 papers
between 2008 and 2023.
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Bibliography
2023
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice.
CoRR, 2023
Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops, 2023
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning.
Proceedings of the Product-Focused Software Process Improvement, 2023
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023
2022
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components.
CoRR, 2022
Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception.
Proceedings of the Computer Safety, Reliability, and Security, 2022
Assurance Cases as Foundation Stone for Auditing AI-Enabled and Autonomous Systems: Workshop Results and Political Recommendations for Action from the ExamAI Project.
Proceedings of the HCI International 2022 - Late Breaking Papers: HCI for Today's Community and Economy, 2022
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022
2021
From Complexity Measurement to Holistic Quality Evaluation for Automotive Software Development.
CoRR, 2021
Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts.
CoRR, 2021
Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates.
Proceedings of the Computer Safety, Reliability, and Security, 2021
Towards a Common Testing Terminology for Software Engineering and Data Science Experts.
Proceedings of the Product-Focused Software Process Improvement, 2021
Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021
Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour.
Proceedings of the 17th European Dependable Computing Conference, 2021
Proceedings of the Model-Based Engineering of Collaborative Embedded Systems, 2021
2020
A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components.
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, 2020
2019
Hardening of Artificial Neural Networks for Use in Safety-Critical Applications - A Mapping Study.
CoRR, 2019
Uncertainty Wrappers for Data-Driven Models - Increase the Transparency of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware Uncertainty Estimates.
Proceedings of the Computer Safety, Reliability, and Security, 2019
Increasing Trust in Data-Driven Model Validation - A Framework for Probabilistic Augmentation of Images and Meta-data Generation Using Application Scope Characteristics.
Proceedings of the Computer Safety, Reliability, and Security, 2019
Safe Traffic Sign Recognition through Data Augmentation for Autonomous Vehicles Software.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019
2018
Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview.
CoRR, 2018
Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty.
Proceedings of the Computer Safety, Reliability, and Security, 2018
2017
HyDEEP: transparent combination of measurement and expert data for defect predictions.
PhD thesis, 2017
Proceedings of the Product-Focused Software Process Improvement, 2017
2016
Effekte modellbasierter Test- und Analyseverfahren in Unternehmen - Ergebnisse einer großangelegten empirischen Evaluation mittels industrieller Fallstudien.
Proceedings of the Software Engineering 2016, 2016
Quality Evaluation for Big Data: A Scalable Assessment Approach and First Evaluation Results.
Proceedings of the 2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement, 2016
2015
Inf. Softw. Technol., 2015
A Large-Scale Technology Evaluation Study: Effects of Model-based Analysis and Testing.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015
2014
CoRR, 2014
Proceedings of the Software Project Management in a Changing World, 2014
2013
Beyond Herding Cats: Aligning Quantitative Technology Evaluation in Large-Scale Research Projects.
Proceedings of the Product-Focused Software Process Improvement, 2013
2012
A Comprehensive Code-Based Quality Model for Embedded Systems: Systematic Development and Validation by Industrial Projects.
Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering, 2012
Proceedings of the 34th International Conference on Software Engineering, 2012
2011
Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results.
Proceedings of the 37th EUROMICRO Conference on Software Engineering and Advanced Applications, SEAA 2011, Oulu, Finland, August 30, 2011
Handling Estimation Uncertainty with Bootstrapping: Empirical Evaluation in the Context of Hybrid Prediction Methods.
Proceedings of the 5th International Symposium on Empirical Software Engineering and Measurement, 2011
2010
Inform. Spektrum, 2010
Support planning and controlling of early quality assurance by combining expert judgment and defect data - a case study.
Empir. Softw. Eng., 2010
Transparent combination of expert and measurement data for defect prediction: an industrial case study.
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, 2010
2009
Proceedings of the 35th Euromicro Conference on Software Engineering and Advanced Applications, 2009
A Framework for the Balanced Optimization of Quality Assurance Strategies Focusing on Small and Medium Sized Enterprises.
Proceedings of the 35th Euromicro Conference on Software Engineering and Advanced Applications, 2009
Proceedings of the Third International Symposium on Empirical Software Engineering and Measurement, 2009
2008
The Use of Simulation Techniques for Hybrid Software Cost Estimation and Risk Analysis.
Adv. Comput., 2008
Predicting Defect Content and Quality Assurance Effectiveness by Combining Expert Judgment and Defect Data - A Case Study.
Proceedings of the 19th International Symposium on Software Reliability Engineering (ISSRE 2008), 2008
Proceedings of the Second International Symposium on Empirical Software Engineering and Measurement, 2008