Towards Continuous Experiment-driven MLOps
Fuente:
arXiv
Saved in:
| Main Authors: | Rajenthiram, Keerthiga, Abdullah, Milad, Gerostathopoulos, Ilias, Hnetynka, Petr, Bureš, Tomáš, Pons, Gerard, Bilalli, Besim, Queralt, Anna |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Systematic Review of MLOps Tools: Tool Adoption, Lifecycle Coverage, and Critical Insights
by: Micallef, Zakkarija, et al.
Published: (2026)
by: Micallef, Zakkarija, et al.
Published: (2026)
Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study
by: Töpfer, Michal, et al.
Published: (2026)
by: Töpfer, Michal, et al.
Published: (2026)
An Analysis of MLOps Architectures: A Systematic Mapping Study
by: Najafabadi, Faezeh Amou, et al.
Published: (2024)
by: Najafabadi, Faezeh Amou, et al.
Published: (2024)
Improving Continual Learning of Knowledge Graph Embeddings via Informed Initialization
by: Pons, Gerard, et al.
Published: (2025)
by: Pons, Gerard, et al.
Published: (2025)
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
by: Pons, Gerard, et al.
Published: (2025)
by: Pons, Gerard, et al.
Published: (2025)
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs
by: Pons, Gerard, et al.
Published: (2024)
by: Pons, Gerard, et al.
Published: (2024)
Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
by: Pons, Gerard, et al.
Published: (2026)
by: Pons, Gerard, et al.
Published: (2026)
From Tea Leaves to System Maps: A Survey and Framework on Context-aware Machine Learning Monitoring
by: Leest, Joran, et al.
Published: (2025)
by: Leest, Joran, et al.
Published: (2025)
Monitoring and Observability of Machine Learning Systems: Current Practices and Gaps
by: Leest, Joran, et al.
Published: (2025)
by: Leest, Joran, et al.
Published: (2025)
Tracing Distribution Shifts with Causal System Maps
by: Leest, Joran, et al.
Published: (2025)
by: Leest, Joran, et al.
Published: (2025)
How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
by: Parida, Shreyas Kumar, et al.
Published: (2025)
by: Parida, Shreyas Kumar, et al.
Published: (2025)
Expert-Driven Monitoring of Operational ML Models
by: Leest, Joran, et al.
Published: (2024)
by: Leest, Joran, et al.
Published: (2024)
Towards Architecting Sustainable MLOps: A Self-Adaptation Approach
by: Bhatt, Hiya, et al.
Published: (2024)
by: Bhatt, Hiya, et al.
Published: (2024)
Online Appendix for "AutoML: A Tertiary Study of Phases, Methods, Tools, and Frameworks"
by: Rajenthiram, Keerthiga
Published: (2025)
by: Rajenthiram, Keerthiga
Published: (2025)
An Empirical Evaluation of Modern MLOps Frameworks
by: Marcos-Mercadé, Jon, et al.
Published: (2026)
by: Marcos-Mercadé, Jon, et al.
Published: (2026)
Challenges and Experiences of Iranian Developers with MLOps at Enterprise
by: Heydari, Mohammad, et al.
Published: (2024)
by: Heydari, Mohammad, et al.
Published: (2024)
Initial Insights on MLOps: Perception and Adoption by Practitioners
by: Moreschi, Sergio, et al.
Published: (2024)
by: Moreschi, Sergio, et al.
Published: (2024)
SecMLOps: A Comprehensive Framework for Integrating Security Throughout the MLOps Lifecycle
by: Zhang, Xinrui, et al.
Published: (2026)
by: Zhang, Xinrui, et al.
Published: (2026)
Navigating MLOps: Insights into Maturity, Lifecycle, Tools, and Careers
by: Stone, Jasper, et al.
Published: (2025)
by: Stone, Jasper, et al.
Published: (2025)
Professional Insights into Benefits and Limitations of Implementing MLOps Principles
by: Araujo, Gabriel, et al.
Published: (2024)
by: Araujo, Gabriel, et al.
Published: (2024)
MLOps: A Multiple Case Study in Industry 4.0
by: Faubel, Leonhard, et al.
Published: (2024)
by: Faubel, Leonhard, et al.
Published: (2024)
A Multivocal Review of MLOps Practices, Challenges and Open Issues
by: Eken, Beyza, et al.
Published: (2024)
by: Eken, Beyza, et al.
Published: (2024)
SmartMLOps Studio: Design of an LLM-Integrated IDE with Automated MLOps Pipelines for Model Development and Monitoring
by: Jin, Jiawei, et al.
Published: (2025)
by: Jin, Jiawei, et al.
Published: (2025)
An Efficient Model Maintenance Approach for MLOps
by: Majidi, Forough, et al.
Published: (2024)
by: Majidi, Forough, et al.
Published: (2024)
How are MLOps Frameworks Used in Open Source Projects? An Empirical Characterization
by: Zampetti, Fiorella, et al.
Published: (2026)
by: Zampetti, Fiorella, et al.
Published: (2026)
Towards MLOps: A DevOps Tools Recommender System for Machine Learning System
by: Shah, Pir Sami Ullah, et al.
Published: (2024)
by: Shah, Pir Sami Ullah, et al.
Published: (2024)
Harmonica: A Self-Adaptation Exemplar for Sustainable MLOps
by: Halgatti, Ananya, et al.
Published: (2026)
by: Halgatti, Ananya, et al.
Published: (2026)
Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge
by: del Rey, Santiago, et al.
Published: (2025)
by: del Rey, Santiago, et al.
Published: (2025)
HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps
by: Bhatt, Hiya, et al.
Published: (2025)
by: Bhatt, Hiya, et al.
Published: (2025)
Automating the Training and Deployment of Models in MLOps by Integrating Systems with Machine Learning
by: Liang, Penghao, et al.
Published: (2024)
by: Liang, Penghao, et al.
Published: (2024)
Engineering AI Agents for Clinical Workflows: A Case Study in Architecture,MLOps, and Governance
by: Lopes, Cláudio Lúcio do Val, et al.
Published: (2026)
by: Lopes, Cláudio Lúcio do Val, et al.
Published: (2026)
Reusable MLOps: Reusable Deployment, Reusable Infrastructure and Hot-Swappable Machine Learning models and services
by: Panchal, D, et al.
Published: (2024)
by: Panchal, D, et al.
Published: (2024)
Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs
by: Patel, Harsh, et al.
Published: (2024)
by: Patel, Harsh, et al.
Published: (2024)
Algorithmic Details behind the Predator Shape Analyser
by: Dudka, Kamil, et al.
Published: (2024)
by: Dudka, Kamil, et al.
Published: (2024)
"TODO: Fix the Mess Gemini Created": Towards Understanding GenAI-Induced Self-Admitted Technical Debt
by: Mujahid, Abdullah Al, et al.
Published: (2026)
by: Mujahid, Abdullah Al, et al.
Published: (2026)
Towards Automated Continuous Security Compliance
by: Angermeir, Florian, et al.
Published: (2024)
by: Angermeir, Florian, et al.
Published: (2024)
Universal Scalability in Declarative Program Analysis (with Choice-Based Combination Pruning)
by: Antoniadis, Anastasios, et al.
Published: (2025)
by: Antoniadis, Anastasios, et al.
Published: (2025)
Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis
by: Testi, Matteo, et al.
Published: (2025)
by: Testi, Matteo, et al.
Published: (2025)
Experimenting with Multi-Agent Software Development: Towards a Unified Platform
by: Sami, Malik Abdul, et al.
Published: (2024)
by: Sami, Malik Abdul, et al.
Published: (2024)
Towards Improving the External Validity of Software Engineering Experiments with Transportability Methods
by: Frattini, Julian, et al.
Published: (2026)
by: Frattini, Julian, et al.
Published: (2026)
Similar Items
-
A Systematic Review of MLOps Tools: Tool Adoption, Lifecycle Coverage, and Critical Insights
by: Micallef, Zakkarija, et al.
Published: (2026) -
Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study
by: Töpfer, Michal, et al.
Published: (2026) -
An Analysis of MLOps Architectures: A Systematic Mapping Study
by: Najafabadi, Faezeh Amou, et al.
Published: (2024) -
Improving Continual Learning of Knowledge Graph Embeddings via Informed Initialization
by: Pons, Gerard, et al.
Published: (2025) -
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
by: Pons, Gerard, et al.
Published: (2025)