Michael Kläs

51 papers A* 1A 4B 6Misc 1Journal 22Unranked 14
YearRankTypeTitle / Venue / Authors
2023 J jnl
Badgers: generating data quality deficits with Python.
CoRR
Julien Siebert, Daniel Seifert, Patricia Kelbert, Michael Kläs, Adam Trendowicz
2023 — conf
Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?
SAFECOMP Workshops
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber
2023 — conf
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning.
PROFES (1)
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad
2023 J jnl
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning.
CoRR
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad
2023 — conf
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning.
DSN-W
Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber
2023 J jnl
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning.
CoRR
Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber
2023 J jnl
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice.
CoRR
Lisa Jöckel, Michael Kläs, Georg Popp, Nadja Hilger, Stephan Fricke
2022 — conf
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models.
SafeAI@AAAI
Pascal Gerber, Lisa Jöckel, Michael Kläs
2022 J jnl
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models.
CoRR
Pascal Gerber, Lisa Jöckel, Michael Kläs
2022 B conf
Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception.
SAFECOMP
Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch
2022 J jnl
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception.
CoRR
Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch
2022 J jnl
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components.
CoRR
Michael Kläs, Lisa Jöckel, Rasmus Adler, Jan Reich
2021 B conf
Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates.
SAFECOMP
Lisa Jöckel, Michael Kläs
2021 J jnl
From Complexity Measurement to Holistic Quality Evaluation for Automotive Software Development.
CoRR
Jens Heidrich, Michael Kläs, Andreas Morgenstern, Pablo Oliveira Antonino, Adam Trendowicz, Jochen Quante, Thomas Grundler
2021 Misc conf
Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour.
EDCC
Michael Kläs, Rasmus Adler, Ioannis Sorokos, Lisa Jöckel, Jan Reich
2021 — ch.
Handling Uncertainty in Collaborative Embedded Systems Engineering.
Model-Based Engineering of Collaborative Embedded Systems
Torsten Bandyszak, Lisa Jöckel, Michael Kläs, Sebastian Törsleff, Thorsten Weyer, Boris Wirtz
2021 J jnl
Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts.
CoRR
Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß
2021 B conf
Towards a Common Testing Terminology for Software Engineering and Data Science Experts.
PROFES
Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß
2020 — conf
A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components.
SAFECOMP Workshops
Michael Kläs, Lisa Jöckel
2019 J jnl
Hardening of Artificial Neural Networks for Use in Safety-Critical Applications - A Mapping Study.
CoRR
Rasmus Adler, Mohammed Naveed Akram, Pascal Bauer, Patrik Feth, Pascal Gerber, Andreas Jedlitschka, Lisa Jöckel, Michael Kläs, Daniel Schneider
2019 B conf
Increasing Trust in Data-Driven Model Validation - A Framework for Probabilistic Augmentation of Images and Meta-data Generation Using Application Scope Characteristics.
SAFECOMP
Lisa Jöckel, Michael Kläs
2019 — conf
Safe Traffic Sign Recognition through Data Augmentation for Autonomous Vehicles Software.
QRS Companion
Lisa Jöckel, Michael Kläs, Silverio Martínez-Fernández
2019 — conf
Uncertainty Wrappers for Data-Driven Models - Increase the Transparency of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware Uncertainty Estimates.
SAFECOMP Workshops
Michael Kläs, Lena Sembach
2018 J jnl
Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview.
CoRR
Michael Kläs
2018 — conf
Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty.
SAFECOMP Workshops
Michael Kläs, Anna Maria Vollmer
2017 — —
HyDEEP: transparent combination of measurement and expert data for defect predictions.
Michael Kläs
2017 B conf
Managing Development Using Active Data Collection.
PROFES
Michael Kläs, Frank Elberzhager
2016 J jnl
Operationalised product quality models and assessment: The Quamoco approach.
CoRR
Stefan Wagner, Andreas Goeb, Lars Heinemann, Michael Kläs, Constanza Lampasona, Klaus Lochmann, Alois Mayr, Reinhold Plösch, Andreas Seidl, Jonathan Streit, Adam Trendowicz
2016 — conf
Quality Evaluation for Big Data: A Scalable Assessment Approach and First Evaluation Results.
IWSM-Mensura
Michael Kläs, Wolfgang Putz, Tobias Lutz
2016 J jnl
The Quamoco Product Quality Modelling and Assessment Approach.
CoRR
Stefan Wagner, Klaus Lochmann, Lars Heinemann, Michael Kläs, Adam Trendowicz, Reinhold Plösch, Andreas Seidl, Andreas Goeb, Jonathan Streit
2015 — conf
A Large-Scale Technology Evaluation Study: Effects of Model-based Analysis and Testing.
ICSE (2)
Michael Kläs, Thomas Bauer, Andreas Dereani, Thomas Soderqvist, Philipp Helle
2015 J jnl
Operationalised product quality models and assessment: The Quamoco approach.
Inf. Softw. Technol.
Stefan Wagner, Andreas Goeb, Lars Heinemann, Michael Kläs, Constanza Lampasona, Klaus Lochmann, Alois Mayr, Reinhold Plösch, Andreas Seidl, Jonathan Streit, Adam Trendowicz
2014 J jnl
Comprehensive Landscapes for Software-related Quality Models.
CoRR
Michael Kläs, Jens Heidrich, Jürgen Münch, Adam Trendowicz
2014 — ch.
Model-Based Quality Management of Software Development Projects.
Software Project Management in a Changing World
Jens Heidrich, H. Dieter Rombach, Michael Kläs
2014 J jnl
Model-based Product Quality Evaluation with Multi-Criteria Decision Analysis.
CoRR
Adam Trendowicz, Michael Kläs, Constanza Lampasona, Jürgen Münch, Christian Körner, Matthias Saft
2014 J jnl
Predicting Defect Content and Quality Assurance Effectiveness by Combining Expert Judgment and Defect Data - A Case Study.
CoRR
Michael Kläs, Haruka Nakao, Frank Elberzhager, Jürgen Münch
2014 J jnl
Transparent Combination of Expert and Measurement Data for Defect Prediction: An Industrial Case Study.
CoRR
Michael Kläs, Frank Elberzhager, Jürgen Münch, Klaus Hartjes, Olaf von Graevemeyer
2013 J jnl
Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results.
CoRR
Michael Kläs, Constanza Lampasona, Jürgen Münch
2013 B conf
Beyond Herding Cats: Aligning Quantitative Technology Evaluation in Large-Scale Research Projects.
PROFES
Michael Kläs, Thomas Bauer, Ubaldo Tiberi
2012 A conf
A Comprehensive Code-Based Quality Model for Embedded Systems: Systematic Development and Validation by Industrial Projects.
ISSRE
Alois Mayr, Reinhold Plösch, Michael Kläs, Constanza Lampasona, Matthias Saft
2012 A* conf
The Quamoco product quality modelling and assessment approach.
ICSE
Stefan Wagner, Klaus Lochmann, Lars Heinemann, Michael Kläs, Adam Trendowicz, Reinhold Plösch, Andreas Seidl, Andreas Goeb, Jonathan Streit
2011 — conf
Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results.
EUROMICRO-SEAA
Michael Kläs, Constanza Lampasona, Jürgen Münch
2011 A conf
Handling Estimation Uncertainty with Bootstrapping: Empirical Evaluation in the Context of Hybrid Prediction Methods.
ESEM
Michael Kläs, Adam Trendowicz, Yasushi Ishigai, Haruka Nakao
2010 J jnl
Softwarequalitätsmodelle - Praxisempfehlungen und Forschungsagenda.
Inform. Spektrum
Stefan Wagner, Manfred Broy, Florian Deißenböck, Michael Kläs, Peter Liggesmeyer, Jürgen Münch, Jonathan Streit
2010 J jnl
Support planning and controlling of early quality assurance by combining expert judgment and defect data - a case study.
Empir. Softw. Eng.
Michael Kläs, Haruka Nakao, Frank Elberzhager, Jürgen Münch
2010 — conf
Transparent combination of expert and measurement data for defect prediction: an industrial case study.
ICSE (2)
Michael Kläs, Frank Elberzhager, Jürgen Münch, Klaus Hartjes, Olaf von Graevemeyer
2009 — conf
A Framework for the Balanced Optimization of Quality Assurance Strategies Focusing on Small and Medium Sized Enterprises.
EUROMICRO-SEAA
Michael Kläs, Frank Elberzhager, Rolf Hendrik van Lengen, Torsten Schulz, Jürgen Goebbels
2009 — conf
CQML Scheme: A Classification Scheme for Comprehensive Quality Model Landscapes.
EUROMICRO-SEAA
Michael Kläs, Jens Heidrich, Jürgen Münch, Adam Trendowicz
2008 A conf
Managing software quality through a hybrid defect content and effectiveness model.
ESEM
Michael Kläs, Frank Elberzhager, Haruka Nakao
2008 A conf
Predicting Defect Content and Quality Assurance Effectiveness by Combining Expert Judgment and Defect Data - A Case Study.
ISSRE
Michael Kläs, Haruka Nakao, Frank Elberzhager, Jürgen Münch
2008 J jnl
The Use of Simulation Techniques for Hybrid Software Cost Estimation and Risk Analysis.
Adv. Comput.
Michael Kläs, Adam Trendowicz, Axel Wickenkamp, Jürgen Münch, Nahomi Kikuchi, Yasushi Ishigai