Abstract is missing.
- Automatically Resolving Data Source Dependency Hell in Large Scale Data Science ProjectsLaurent Boué, Pratap Kunireddy, Pavle Subotic. 1-6 [doi]
- Dataflow graphs as complete causal graphsAndrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence. 7-12 [doi]
- Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem ChallengesHans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss, Jennifer Horkoff, Markus Borg, Alessia Knauss, Polly Jing Li. 13-24 [doi]
- Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AITim Yarally, Luis Cruz 0002, Daniel Feitosa, June Sallou, Arie van Deursen. 25-36 [doi]
- Prevalence of Code Smells in Reinforcement Learning ProjectsNicolás Cardozo, Ivana Dusparic, Christian Cabrera 0003. 37-42 [doi]
- Replay-Driven Continual Learning for the Industrial Internet of ThingsSagar Sen, Simon Myklebust Nielsen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Leonardo Sastoque Pinilla. 43-55 [doi]
- Towards Understanding Model Quantization for Reliable Deep Neural Network DeploymentQiang Hu, Yuejun Guo 0001, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon. 56-67 [doi]
- Exploring Hyperparameter Usage and Tuning in Machine Learning ResearchSebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein 0001, Norbert Siegmund. 68-79 [doi]
- An Initial Analysis of Repair and Side-effect Prediction for Neural NetworksYuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei. 80-85 [doi]
- AI Living Lab: Quality Assurance for AI-based Health systemsValentina Lenarduzzi, Minna Isomursu. 86-87 [doi]
- Conceptualising Software Development Lifecycle for Engineering AI Planning SystemsIlche Georgievski. 88-89 [doi]
- Algorithm Debt: Challenges and Future PathsEmmanuel Iko-Ojo Simon, Melina C. Vidoni, Fatemeh H. Fard. 90-91 [doi]
- Enabling Machine Learning in Software Architecture FrameworksArmin Moin, Atta Badii, Stephan Günnemann, Moharram Challenger. 92-93 [doi]
- Extensible Modeling Framework for Reliable Machine Learning System AnalysisJati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi, Hiroshi Tanaka, Kazuki Munakata. 94-95 [doi]
- How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing EcosystemsIva Krasteva, Boris Kraychev, Ensiye Kiyamousavi. 96-97 [doi]
- Maintaining and Monitoring AIOps Models Against Concept DriftLorena Poenaru-Olaru, Luis Cruz 0002, Jan S. Rellermeyer, Arie van Deursen. 98-99 [doi]
- Reproducibility Requires Consolidated ArtifactsIordanis Fostiropoulos, Bowman Brown, Laurent Itti. 100-101 [doi]
- Tenet: A Flexible Framework for Machine-Learning-based Vulnerability DetectionEduard Pinconschi, Sofia Reis, Chi Zhang, Rui Abreu 0001, Hakan Erdogmus, Corina S. Pasareanu, Limin Jia 0001. 102-103 [doi]
- 2AIRA): A Systematic Mapping StudyBoming Xia, Qinghua Lu 0001, Harsha Perera, Liming Zhu 0001, Zhenchang Xing, Yue Liu, Jon Whittle 0001. 104-116 [doi]
- Towards Understanding Machine Learning Testing in PractiseArumoy Shome, Luís Cruz 0002, Arie van Deursen. 117-118 [doi]
- Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring PlatformPetra Heck, Gerard Schouten. 119-126 [doi]
- Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelinesAndrás Schmelczer, Joost Visser 0001. 127-138 [doi]
- Towards Code Generation from BDD Test Case Specifications: A VisionLeon Chemnitz, David Reichenbach, Hani Aldebes, Mariam Naveed, Krishna Narasimhan, Mira Mezini. 139-144 [doi]
- A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading SystemMarcel Grote, Justus Bogner. 145-157 [doi]
- Engineering Challenges for AI-Supported Computer Vision in Small Uncrewed Aerial SystemsMuhammed Tawfiq Chowdhury, Jane Cleland-Huang. 158-170 [doi]
- A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ PractitionersNadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner. 171-183 [doi]
- Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern RepositoryLukas Heiland, Marius Hauser, Justus Bogner. 184-196 [doi]
- safe.trAIn - Engineering and Assurance of a Driverless Regional TrainMarc Zeller, Martin Rothfelder, Cornel Klein. 197 [doi]