Michael Kläs

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 30

Top Venues

CoRR

SAFECOMP Workshops

SAFECOMP

PROFES

Kaiserslautern University of Technology, Germany (PHD)

Education History

Kaiserslautern University of Technology, Germany

PHD

Publications

Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber
Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning? SAFECOMP Workshops (2023)
Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning. DSN-W (2023)
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. PROFES (1) (2023)
Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning. CoRR (2023)
Julien Siebert, Daniel Seifert, Patricia Kelbert, Michael Kläs, Adam Trendowicz
Badgers: generating data quality deficits with Python. CoRR (2023)
Lisa Jöckel, Michael Kläs, Georg Popp, Nadja Hilger, Stephan Fricke
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice. CoRR (2023)
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. CoRR (2023)
Pascal Gerber, Lisa Jöckel, Michael Kläs
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models. CoRR (2022)
Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch
Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception. SAFECOMP (2022)
Michael Kläs, Lisa Jöckel, Rasmus Adler, Jan Reich
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components. CoRR (2022)
Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception. CoRR (2022)
Pascal Gerber, Lisa Jöckel, Michael Kläs
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models. SafeAI@AAAI (2022)
Jens Heidrich, Michael Kläs, Andreas Morgenstern, Pablo Oliveira Antonino, Adam Trendowicz, Jochen Quante, Thomas Grundler
From Complexity Measurement to Holistic Quality Evaluation for Automotive Software Development. CoRR (2021)
Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß
Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts. CoRR (2021)
Michael Kläs, Rasmus Adler, Ioannis Sorokos, Lisa Jöckel, Jan Reich
Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour. EDCC (2021)
Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß
Towards a Common Testing Terminology for Software Engineering and Data Science Experts. PROFES (2021)
Lisa Jöckel, Michael Kläs
Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates. SAFECOMP (2021)
Michael Kläs, Lisa Jöckel
A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components. SAFECOMP Workshops (2020)
Lisa Jöckel, Michael Kläs, Silverio Martínez-Fernández
Safe Traffic Sign Recognition through Data Augmentation for Autonomous Vehicles Software. QRS Companion (2019)
Lisa Jöckel, Michael Kläs
Increasing Trust in Data-Driven Model Validation - A Framework for Probabilistic Augmentation of Images and Meta-data Generation Using Application Scope Characteristics. SAFECOMP (2019)
Michael Kläs, Lena Sembach
Uncertainty Wrappers for Data-Driven Models - Increase the Transparency of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware Uncertainty Estimates. SAFECOMP Workshops (2019)
Rasmus Adler, Mohammed Naveed Akram, Pascal Bauer, Patrik Feth, Pascal Gerber, Andreas Jedlitschka, Lisa Jöckel, Michael Kläs, Daniel Schneider
Hardening of Artificial Neural Networks for Use in Safety-Critical Applications - A Mapping Study. CoRR (2019)
Michael Kläs, Anna Maria Vollmer
Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty. SAFECOMP Workshops (2018)
Michael Kläs
Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview. CoRR (2018)
Michael Kläs, Frank Elberzhager
Managing Development Using Active Data Collection. PROFES (2017)
Stefan Wagner, Klaus Lochmann, Lars Heinemann, Michael Kläs, Adam Trendowicz, Reinhold Plösch, Andreas Seidl, Andreas Goeb, Jonathan Streit
The Quamoco Product Quality Modelling and Assessment Approach. CoRR (2016)
Michael Kläs, Wolfgang Putz, Tobias Lutz
Quality Evaluation for Big Data: A Scalable Assessment Approach and First Evaluation Results. IWSM-Mensura (2016)
Stefan Wagner, Andreas Goeb, Lars Heinemann, Michael Kläs, Constanza Lampasona, Klaus Lochmann, Alois Mayr, Reinhold Plösch, Andreas Seidl, Jonathan Streit, Adam Trendowicz
Operationalised product quality models and assessment: The Quamoco approach. CoRR (2016)
Stefan Wagner, Andreas Goeb, Lars Heinemann, Michael Kläs, Constanza Lampasona, Klaus Lochmann, Alois Mayr, Reinhold Plösch, Andreas Seidl, Jonathan Streit, Adam Trendowicz
Operationalised product quality models and assessment: The Quamoco approach. Inf. Softw. Technol. 62 (2015)
Michael Kläs, Thomas Bauer, Andreas Dereani, Thomas Soderqvist, Philipp Helle
A Large-Scale Technology Evaluation Study: Effects of Model-based Analysis and Testing. ICSE (2) (2015)
Adam Trendowicz, Michael Kläs, Constanza Lampasona, Jürgen Münch, Christian Körner, Matthias Saft
Model-based Product Quality Evaluation with Multi-Criteria Decision Analysis. CoRR (2014)
Michael Kläs, Jens Heidrich, Jürgen Münch, Adam Trendowicz
Comprehensive Landscapes for Software-related Quality Models. CoRR (2014)
Michael Kläs, Haruka Nakao, Frank Elberzhager, Jürgen Münch
Predicting Defect Content and Quality Assurance Effectiveness by Combining Expert Judgment and Defect Data - A Case Study. CoRR (2014)
Michael Kläs, Frank Elberzhager, Jürgen Münch, Klaus Hartjes, Olaf von Graevemeyer
Transparent Combination of Expert and Measurement Data for Defect Prediction: An Industrial Case Study. CoRR (2014)
Michael Kläs, Constanza Lampasona, Jürgen Münch
Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results. CoRR (2013)
Michael Kläs, Thomas Bauer, Ubaldo Tiberi
Beyond Herding Cats: Aligning Quantitative Technology Evaluation in Large-Scale Research Projects. PROFES (2013)
Alois Mayr, Reinhold Plösch, Michael Kläs, Constanza Lampasona, Matthias Saft
A Comprehensive Code-Based Quality Model for Embedded Systems: Systematic Development and Validation by Industrial Projects. ISSRE (2012)
Stefan Wagner, Klaus Lochmann, Lars Heinemann, Michael Kläs, Adam Trendowicz, Reinhold Plösch, Andreas Seidl, Andreas Goeb, Jonathan Streit
The Quamoco product quality modelling and assessment approach. ICSE (2012)
Michael Kläs, Constanza Lampasona, Jürgen Münch
Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results. EUROMICRO-SEAA (2011)
Michael Kläs, Adam Trendowicz, Yasushi Ishigai, Haruka Nakao
Handling Estimation Uncertainty with Bootstrapping: Empirical Evaluation in the Context of Hybrid Prediction Methods. ESEM (2011)
Michael Kläs, Haruka Nakao, Frank Elberzhager, Jürgen Münch
Support planning and controlling of early quality assurance by combining expert judgment and defect data - a case study. Empir. Softw. Eng. 15 (4) (2010)
Stefan Wagner, Manfred Broy, Florian Deißenböck, Michael Kläs, Peter Liggesmeyer, Jürgen Münch, Jonathan Streit
Softwarequalitätsmodelle - Praxisempfehlungen und Forschungsagenda. Inform. Spektrum 33 (1) (2010)
Michael Kläs, Frank Elberzhager, Jürgen Münch, Klaus Hartjes, Olaf von Graevemeyer
Transparent combination of expert and measurement data for defect prediction: an industrial case study. ICSE (2) (2010)
Michael Kläs, Jens Heidrich, Jürgen Münch, Adam Trendowicz
CQML Scheme: A Classification Scheme for Comprehensive Quality Model Landscapes. EUROMICRO-SEAA (2009)
Michael Kläs, Frank Elberzhager, Rolf Hendrik van Lengen, Torsten Schulz, Jürgen Goebbels
A Framework for the Balanced Optimization of Quality Assurance Strategies Focusing on Small and Medium Sized Enterprises. EUROMICRO-SEAA (2009)
Michael Kläs, Haruka Nakao, Frank Elberzhager, Jürgen Münch
Predicting Defect Content and Quality Assurance Effectiveness by Combining Expert Judgment and Defect Data - A Case Study. ISSRE (2008)
Michael Kläs, Frank Elberzhager, Haruka Nakao
Managing software quality through a hybrid defect content and effectiveness model. ESEM (2008)
Michael Kläs, Adam Trendowicz, Axel Wickenkamp, Jürgen Münch, Nahomi Kikuchi, Yasushi Ishigai
The Use of Simulation Techniques for Hybrid Software Cost Estimation and Risk Analysis. Adv. Comput. 74 (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Kläs