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Operationalised product quality models and assessment: The Quamoco approach

Information and software technology, 2015-06, Vol.62, p.101-123

2015

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Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty

Computer Safety, Reliability, and Security, p.431-438

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Sensing single remote nuclear spins

Nature nanotechnology, 2012-10, Vol.7 (10), p.657-662

2012

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Einheit und Vielfalt in den Wissenschaften

1st edition., 2019

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Uncertainty Wrappers for Data-Driven Models: Increase the Transparency of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware Uncertainty Estimates

Computer Safety, Reliability, and Security, p.358-364

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A Framework for the Balanced Optimization of Quality Assurance Strategies Focusing on Small and Medium Sized Enterprises

2009 35th Euromicro Conference on Software Engineering and Advanced Applications, 2009, p.335-342

2009

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Biomining and methanogenesis for resource extraction from asteroids

Space policy, 2015-11, Vol.34, p.18-22

2015

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A Large-Scale Technology Evaluation Study: Effects of Model-based Analysis and Testing

2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, 2015, Vol.2, p.119-128

2015

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Metaclasses and Their Application: Data Model Tailoring and Database Integration

1995

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Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning

2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2023, p.231-238

2023

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Safe Traffic Sign Recognition through Data Augmentation for Autonomous Vehicles Software

2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2019, p.540-541

2019

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A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components

Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, p.315-327

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Quality Evaluation for Big Data: A Scalable Assessment Approach and First Evaluation Results

2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA), 2016, p.115-124

2016

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The Quamoco product quality modelling and assessment approach

2012 34th International Conference on Software Engineering (ICSE), 2012, p.1133-1142

2012

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Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates

Computer Safety, Reliability, and Security, p.18-33

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Increasing Trust in Data-Driven Model Validation: A Framework for Probabilistic Augmentation of Images and Meta-data Generation Using Application Scope Characteristics

Computer Safety, Reliability, and Security, p.155-164

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Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception

Computer Safety, Reliability, and Security, p.284-297

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Managing Development Using Active Data Collection

Product-Focused Software Process Improvement, p.543-547

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Towards a Common Testing Terminology for Software Engineering and Data Science Experts

Product-Focused Software Process Improvement, p.281-289

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Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?

Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops, p.314-327

Volltextzugriff (PDF)

Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results

2011 37th EUROMICRO Conference on Software Engineering and Advanced Applications, 2011, p.341-348

2011

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The quamoco product quality modelling and assessment approach

Proceedings of the 34th International Conference on Software Engineering, 2012, p.1133-1142

2012

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Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning

Product-Focused Software Process Improvement, p.151-158

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A Comprehensive Code-Based Quality Model for Embedded Systems: Systematic Development and Validation by Industrial Projects

2012 IEEE 23rd International Symposium on Software Reliability Engineering, 2012, p.281-290

2012

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Transparent combination of expert and measurement data for defect prediction: an industrial case study

2010 ACM/IEEE 32nd International Conference on Software Engineering, 2010, Vol.2, p.119-128

2010

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Operationalised product quality models and assessment: The Quamoco approach

Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty

Sensing single remote nuclear spins

Einheit und Vielfalt in den Wissenschaften

Uncertainty Wrappers for Data-Driven Models: Increase the Transparency of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware Uncertainty Estimates

A Framework for the Balanced Optimization of Quality Assurance Strategies Focusing on Small and Medium Sized Enterprises

Biomining and methanogenesis for resource extraction from asteroids

A Large-Scale Technology Evaluation Study: Effects of Model-based Analysis and Testing

Metaclasses and Their Application: Data Model Tailoring and Database Integration

Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning

Safe Traffic Sign Recognition through Data Augmentation for Autonomous Vehicles Software

A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components

Quality Evaluation for Big Data: A Scalable Assessment Approach and First Evaluation Results

The Quamoco product quality modelling and assessment approach

Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates

Increasing Trust in Data-Driven Model Validation: A Framework for Probabilistic Augmentation of Images and Meta-data Generation Using Application Scope Characteristics

Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception

Managing Development Using Active Data Collection

Towards a Common Testing Terminology for Software Engineering and Data Science Experts

Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?

Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results

The quamoco product quality modelling and assessment approach

Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning

A Comprehensive Code-Based Quality Model for Embedded Systems: Systematic Development and Validation by Industrial Projects

Transparent combination of expert and measurement data for defect prediction: an industrial case study

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