| 2025 | 4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2025, Ottawa, ON, Canada, April 27-28, 2025 |
| 2025 | A Holistic Framework for Evolving AI-Based Systems. Merel Veracx |
| 2025 | A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems. Renato Cordeiro Ferreira |
| 2025 | Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge. Santiago del Rey, Adrià Medina, Xavier Franch, Silverio Martínez-Fernández |
| 2025 | All You Need is an AI Platform: A Proposal for a Complete Reference Architecture. Benjamin Weigel, Fabian Stieler, Bernhard Bauer |
| 2025 | An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software. Hamed Barzamini, Fatemeh Nazaritiji, Annalise Brockmann, Hasan Ferdowsi, Mona Rahimi |
| 2025 | Approach Towards Semi-Automated Certification of Low Criticality ML-Enabled Airborne Applications. Chandrasekar Sridhar, Vyakhya Gupta, Prakhar Jain, Karthik Vaidhyanathan |
| 2025 | Assessing and Enhancing the Robustness of LLM-Based Multi-Agent Systems Through Chaos Engineering. Joshua Owotogbe |
| 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 | Challenges in AI Projects for Machinery and Plant Engineering. Richard Nordsieck, Jan-Philipp Steghöfer, Manish Bhandari |
| 2025 | CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems. Aidin Azamnouri |
| 2025 | DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation. Jinyang Li, Sangwon Hyun, M. Ali Babar |
| 2025 | Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study). Boyue Caroline Hu, Divya Gopinath, Corina S. Pasareanu, Nina Narodytska, Ravi Mangal, Susmit Jha |
| 2025 | Designing ML-Enabled Software Systems with ML Model Composition: A Green AI Perspective. Rumbidzai Chitakunye |
| 2025 | Designing and Implementing LLM Guardrails Components in Production Environments. Mateus Devino, Evaline Ju, Paulo Marques Caldeira Junior |
| 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 | 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 | Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems. Katherine R. Dearstyne, Pedro Alarcon Granadeno, Theodore Chambers, Jane Cleland-Huang |
| 2025 | Finding Trojan Triggers in Code LLMs: An Occlusion-Based Human-in-the-Loop Approach. Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Mohammad Amin Alipour, Bowen Xu, Stephen Huang |
| 2025 | From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems. Yining Hong, Christopher Steven Timperley, Christian Kästner |
| 2025 | Generating and Verifying Synthetic Datasets with Requirements Engineering. Lynn Vonderhaar, Timothy Elvira, Omar Ochoa |
| 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 | Identification and Optimization of Redundant Code Using Large Language Models. Shamse Tasnim Cynthia |
| 2025 | ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models. Sergio Morales, Robert Clarisó, Jordi Cabot |
| 2025 | InsightAI: Root Cause Analysis in Large Log Files with Private Data Using Large Language Model. Maryam Ekhlasi, Anurag Prakash, Maxime Lamothe, Michel R. Dagenais |
| 2025 | Investigating Issues That Lead to Code Technical Debt in Machine Learning Systems. Rodrigo Ximenes, Antonio Pedro Santos Alves, Tatiana Escovedo, Rodrigo O. Spínola, Marcos Kalinowski |
| 2025 | LLM-Based Safety Case Generation for Baidu Apollo: Are We there Yet? Oluwafemi Odu, Alvine Boaye Belle, Song Wang |
| 2025 | LoCoML: A Framework for Real-World ML Inference Pipelines. Kritin Maddireddy, Santhosh Kotekal Methukula, Chandrasekar Sridhar, Karthik Vaidhyanathan |
| 2025 | MLScent: A Tool for Anti-Pattern Detection in ML Projects. Karthik Shivashankar, Antonio Martini |
| 2025 | Model-Based Verification for AI-Enabled Cyber-Physical Systems Through Guided Falsification of Temporal Logic Properties. Hadiza Umar Yusuf |
| 2025 | Navigating the Shift: Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems. Hadiza Umar Yusuf, Khouloud Gaaloul |
| 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 | Optimizing Data Analytics Workflows Through User-Driven Experimentation: Progress and Updates. Keerthiga Rajenthiram |
| 2025 | RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios. Shangeetha Sivasothy, Scott Barnett, Stefanus Kurniawan, Zafaryab Rasool, Rajesh Vasa |
| 2025 | Random Perturbation Attack on LLMs for Code Generation. Qiulu Peng, Chi Zhang, Ravi Mangal, Corina S. Pasareanu, Limin Jia |
| 2025 | Rule-Based Assessment of Reinforcement Learning Practices Using Large Language Models. Evangelos Ntentos, Stephen John Warnett, Uwe Zdun |
| 2025 | Safeguarding LLM-Applications: Specify or Train? Hala Abdelkader, Mohamed Almorsy Abdelrazek, Sankhya Singh, Irini Logothetis, Priya Rani, Rajesh Vasa, Jean-Guy Schneider |
| 2025 | SqPal - Text to SQL GenAI Tool for PayPal. Dan Liyanage, Mahshid Moha, Sandy Suresh |
| 2025 | Systematic Testing of Security-Related Vulnerabilities in LLM-Based Applications. Hasan Kaplan |
| 2025 | Task Decomposition and RAG as Design Patterns for LLM-Based Systems. Orlando Marquez Ayala |
| 2025 | Themes of Building LLM-Based Applications for Production: A Practitioner's View. Alina Mailach, Sebastian Simon, Johannes Dorn, Norbert Siegmund |
| 2025 | Towards Continuous Experiment-Driven MLOps. Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Tomás Bures, Gerard Pons, Besim Bilalli, Anna Queralt |
| 2025 | Towards a Domain-Specific Modeling Language for Streamlined Change Management in AI Systems Development. Razan Abualsaud |
| 2025 | Towards a Privacy-by-Design Framework for ML-Enabled Systems. Yorick Sens |
| 2025 | Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering. Marvin Muñoz Barón |