Daniel Strüber
Showing 47 publications
MLTradeOps: Embedding Trade-Off Management into the MLOps Workflow
Extracting Design Patterns from Mined Component Models of ML-Enabled Systems
Development and evolution of Xtext-based DSLs on GitHub: an empirical investigation
On the Use of GPT-4 in the Reverse Engineering of Class Diagrams
An empirical study of manual abstraction between class diagrams and code of open-source systems
Software reconfiguration in robotics
Quality trade-offs in ML-enabled systems: a multiple-case study
Cross-platform edge deployment of machine learning models: a model-driven approach
Machine learning experiment management tools: a mixed-methods empirical study
Virtual Platform: Effective and Seamless Variability Management for Software Systems
Tales from 1002 Repositories: Development and Evolution of Xtext-based DSLs on GitHub
Asset Management in Machine Learning: State-of-research and State-of-practice
Checking security compliance between models and code
We're Not Gonna Break It! Consistency-Preserving Operators for Efficient Product Line Configuration
A benchmark generator framework for evolving variant-rich software
Finding the Right Way to Rome: Effect-Oriented Graph Transformation
Software variability in service robotics
Automated Extraction of Grammar Optimization Rule Configurations for Metamodel-Grammar Co-evolution
Model-Driven Optimization: Towards Performance-Enhancing Low-Level Encodings
Software Variability in Service Robots (Summary)
The Complexity Paradox: An Analysis of Modeling Education Through the Lens of Complexity Science
Effects of variability in models: a family of experiments
Family-Based Fingerprint Analysis: A Position Paper
A Lightweight Approach for Model Checking Variability-Based Graph Transformations
Model-Driven Optimization: Generating Smart Mutation Operators for Multi-Objective Problems
Acapulco: An extensible tool for identifying optimal and consistent feature model configurations
EMMM: A Unified Meta-Model for Tracking Machine Learning Experiments
On the Effectiveness of Machine Learning Experiment Management Tools
Asset Management in Machine Learning: A Survey
Seamless Variability Management with the Virtual Platform
Robotics Software Engineering: A Perspective from the Service Robotics Domain (Summary)
Variability representations in class models: An empirical assessment
Message from the MiSE 2019 Workshop Organizers
Facing the truth: Benchmarking the techniques for the evolution of variant-rich systems
Detecting security vulnerabilities using clone detection and community knowledge
Exploring conflict reasons for graph transformation systems
Variability modeling of service robots: Experiences and challenges
Searching for optimal models: Comparing two encoding approaches
Applying MDD in the Content Management System Domain: Scenarios and Empirical Assessment
Secure Data-Flow Compliance Checks between Models and Code Based on Automated Mappings
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Blended Modelling for Enhanced Software and Systems Engineering