| 2024 | Engineering Carbon Emission-aware Machine Learning Pipelines. | Erik Johannes Husom, Sagar Sen, Arda Goknil |
| 2024 | Evaluation of The Generality of Multi-view Modeling Framework for ML Systems. | Jati H. Husen, Jomphon Runpakprakun, Sun Chang, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa |
| 2024 | Engineering Challenges in Industrial AI. | Martin Hollender, Chaojun Xu, Ruomu Tan |
| 2024 | What About the Data? A Mapping Study on Data Engineering for AI Systems. | Petra Heck |
| 2024 | A Domain Specific Language for Specification of Risk-oriented Object Detection Requirements. | Junji Hashimoto, Nobukazu Yoshioka |
| 2024 | Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation. | Mojtaba Mostafavi Ghahfarokhi, Ashkan Khademian, Sepehr Kianiangolafshani, Alireza Asadi, Hamed Jahantigh, Abbas Heydarnoori |
| 2024 | A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data. | Mojtaba Mostafavi Ghahfarokhi, Hamed Jahantigh, Alireza Asadi, Sepehr Kianiangolafshani, Ashkan Khademian, Abbas Heydarnoori |
| 2024 | Trustworthy AI: Industry-Guided Tooling of the Methods. | Zakaria Chihani |
| 2024 | Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. | Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hlio Lopes |
| 2024 | Innovating Translation: Lessons Learned from BWX Generative Language Engine. | Vanilson Arruda Burgio, Iverson Pereira, Henrique Cabral |
| 2024 | Seven Failure Points When Engineering a Retrieval Augmented Generation System. | Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, Mohamed Abdelrazek |
| 2024 | POLARIS: A Framework to Guide the Development of Trustworthy AI Systems. | Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone |
| 2024 | Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures. | Negar Alizadeh, Fernando Castor |
| 2024 | ML-On-Rails: Safeguarding Machine Learning Models in Software Systems - A Case Study. | Hala Abdelkader, Mohamed Abdelrazek, Scott Barnett, Jean-Guy Schneider, Priya Rani, Rajesh Vasa |
| 2024 | Identifying Architectural Design Decisions for Achieving Green ML Serving. | Francisco Durn, Silverio Martnez-Fernndez, Matias Martinez, Patricia Lago |
| 2024 | Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes. | Gustavo Pinto, Cleidson R. B. de Souza, Thayssa A. da Rocha, Igor Steinmacher, Alberto de Souza, Edward Monteiro |
| 2024 | A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture. | Qinghua Lu, Liming Zhu, Xiwei Xu, Yue Liu, Zhenchang Xing, Jon Whittle |
| 2023 | safe.trAIn - Engineering and Assurance of a Driverless Regional Train. | Marc Zeller, Martin Rothfelder, Cornel Klein |
| 2023 | Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. | Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen |
| 2023 | Towards Concrete and Connected AI Risk Assessment (C | Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle |
| 2023 | Algorithm Debt: Challenges and Future Paths. | Emmanuel Iko-Ojo Simon, Melina C. Vidoni, Fatemeh H. Fard |
| 2023 | Exploring Hyperparameter Usage and Tuning in Machine Learning Research. | Sebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein, Norbert Siegmund |
| 2023 | Towards Understanding Machine Learning Testing in Practise. | Arumoy Shome, Lus Cruz, Arie van Deursen |
| 2023 | Replay-Driven Continual Learning for the Industrial Internet of Things. | Sagar Sen, Simon Myklebust Nielsen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Leonardo Sastoque Pinilla |
| 2023 | Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelines. | Andrs Schmelczer, Joost Visser |