| 2025 | Navigating the Shift: Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems. | Hadiza Umar Yusuf, Khouloud Gaaloul |
| 2025 | Model-Based Verification for AI-Enabled Cyber-Physical Systems Through Guided Falsification of Temporal Logic Properties. | Hadiza Umar Yusuf |
| 2025 | Investigating Issues That Lead to Code Technical Debt in Machine Learning Systems. | Rodrigo Ximenes, Antonio Pedro Santos Alves, Tatiana Escovedo, Rodrigo O. Spnola, Marcos Kalinowski |
| 2025 | All You Need is an AI Platform: A Proposal for a Complete Reference Architecture. | Benjamin Weigel, Fabian Stieler, Bernhard Bauer |
| 2025 | Generating and Verifying Synthetic Datasets with Requirements Engineering. | Lynn Vonderhaar, Timothy Elvira, Omar Ochoa |
| 2025 | A Holistic Framework for Evolving AI-Based Systems. | Merel Veracx |
| 2025 | Approach Towards Semi-Automated Certification of Low Criticality ML-Enabled Airborne Applications. | Chandrasekar Sridhar, Vyakhya Gupta, Prakhar Jain, Karthik Vaidhyanathan |
| 2025 | Developing Multi-Agent LLM Applications Through Continuous Human-LLM Co-Programming. | Hui Song, Arda Goknil, Xiaojun Jiang, Espen Melum, Hyunwhan Joe, Caterina Gazzotti, Valerio Frascolla, Adela Nedisan Videsjorden, Phu Nguyen |
| 2025 | RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios. | Shangeetha Sivasothy, Scott Barnett, Stefanus Kurniawan, Zafaryab Rasool, Rajesh Vasa |
| 2025 | MLScent: A Tool for Anti-Pattern Detection in ML Projects. | Karthik Shivashankar, Antonio Martini |
| 2025 | Towards a Privacy-by-Design Framework for ML-Enabled Systems. | Yorick Sens |
| 2025 | Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge. | Santiago del Rey, Adri Medina, Xavier Franch, Silverio Martnez-Fernndez |
| 2025 | Towards Continuous Experiment-Driven MLOps. | Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Toms Bures, Gerard Pons, Besim Bilalli, Anna Queralt |
| 2025 | Optimizing Data Analytics Workflows Through User-Driven Experimentation: Progress and Updates. | Keerthiga Rajenthiram |
| 2025 | Random Perturbation Attack on LLMs for Code Generation. | Qiulu Peng, Chi Zhang, Ravi Mangal, Corina S. Pasareanu, Limin Jia |
| 2025 | Engineering LLM Powered Multi-Agent Framework for Autonomous CloudOps. | Kannan Parthasarathy, Karthik Vaidhyanathan, Rudra Dhar, Venkat Krishnamachari, Adyansh Kakran, Sreemaee Akshathala, Shrikara Arun, Amey Karan, Basil Muhammed, Sumant Dubey, Mohan Veerubhotla |
| 2025 | How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration. | Shreyas Kumar Parida, Ilias Gerostathopoulos, Justus Bogner |
| 2025 | Assessing and Enhancing the Robustness of LLM-Based Multi-Agent Systems Through Chaos Engineering. | Joshua Owotogbe |
| 2025 | LLM-Based Safety Case Generation for Baidu Apollo: Are We there Yet? | Oluwafemi Odu, Alvine Boaye Belle, Song Wang |
| 2025 | Rule-Based Assessment of Reinforcement Learning Practices Using Large Language Models. | Evangelos Ntentos, Stephen John Warnett, Uwe Zdun |
| 2025 | Challenges in AI Projects for Machinery and Plant Engineering. | Richard Nordsieck, Jan-Philipp Steghfer, Manish Bhandari |
| 2025 | On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content. | Vince Nguyen, Vidya Dhopate, Hieu Trung Huynh, Hiba Bouhlal, Anusha Annengala, Gian Luca Scoccia, Matias Martinez, Vincenzo Stoico, Ivano Malavolta |
| 2025 | ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models. | Sergio Morales, Robert Claris, Jordi Cabot |
| 2025 | Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI. | Niels With Mikkelsen, Lasse Steen Pedersen, Mansoor Hussain, Victor Foged, Ekkart Kindler |
| 2025 | Themes of Building LLM-Based Applications for Production: A Practitioner's View. | Alina Mailach, Sebastian Simon, Johannes Dorn, Norbert Siegmund |