28 citations · 82 across the 15 of their papers we have counts for
5 papers · 1 filter
The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems
Rafiullah Omar, Justus Bogner, Henry Muccini +3
Background: Machine learning (ML) model composition is a popular technique to mitigate shortcomings of a single ML model and to design more effective ML-enabled systems. While ense…
An Analysis of MLOps Architectures: A Systematic Mapping Study
Faezeh Amou Najafabadi, Justus Bogner, Ilias Gerostathopoulos +1
Context. Despite the increasing adoption of Machine Learning Operations (MLOps), teams still encounter challenges in effectively applying this paradigm to their specific projects.…
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
Rafiullah Omar, Justus Bogner, Joran Leest +3
ML-enabled systems that are deployed in a production environment typically suffer from decaying model prediction quality through concept drift, i.e., a gradual change in the statis…
Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
Apoorva Nalini Pradeep Kumar, Justus Bogner, Markus Funke +1
Recent advances in artificial intelligence (AI) capabilities have increased the eagerness of companies to integrate AI into software systems. While AI can be used to have a positiv…
RESTRuler: Towards Automatically Identifying Violations of RESTful Design Rules in Web APIs
Justus Bogner, Sebastian Kotstein, Daniel Abajirov +2
RESTful APIs based on HTTP are one of the most important ways to make data and functionality available to applications and software services. However, the quality of the API design…