CAIN

Keyphrases

Publications

2023

Nicolás Cardozo, Ivana Dusparic, Christian Cabrera
Prevalence of Code Smells in Reinforcement Learning Projects. CAIN (2023)
Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence
Dataflow graphs as complete causal graphs. CAIN (2023)
Marcel Grote, Justus Bogner
A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System. CAIN (2023)
Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner
A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. CAIN (2023)
Valentina Lenarduzzi, Minna Isomursu
AI Living Lab: Quality Assurance for AI-based Health systems. CAIN (2023)
Eduard Pinconschi, Sofia Reis, Chi Zhang, Rui Abreu, Hakan Erdogmus, Corina S. Pasareanu, Limin Jia
Tenet: A Flexible Framework for Machine-Learning-based Vulnerability Detection. CAIN (2023)
Emmanuel Iko-Ojo Simon, Melina C. Vidoni, Fatemeh H. Fard
Algorithm Debt: Challenges and Future Paths. CAIN (2023)
Iva Krasteva, Boris Kraychev, Ensiye Kiyamousavi
How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems. CAIN (2023)
Lukas Heiland, Marius Hauser, Justus Bogner
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository. CAIN (2023)
Sebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein, Norbert Siegmund
Exploring Hyperparameter Usage and Tuning in Machine Learning Research. CAIN (2023)
Marc Zeller, Martin Rothfelder, Cornel Klein
safe.trAIn - Engineering and Assurance of a Driverless Regional Train. CAIN (2023)
Sagar Sen, Simon Myklebust Nielsen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Leonardo Sastoque Pinilla
Replay-Driven Continual Learning for the Industrial Internet of Things. CAIN (2023)
Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei
An Initial Analysis of Repair and Side-effect Prediction for Neural Networks. CAIN (2023)
Leon Chemnitz, David Reichenbach, Hani Aldebes, Mariam Naveed, Krishna Narasimhan, Mira Mezini
Towards Code Generation from BDD Test Case Specifications: A Vision. CAIN (2023)
Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. CAIN (2023)
Laurent Boué, Pratap Kunireddy, Pavle Subotic
Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects. CAIN (2023)
Ilche Georgievski
Conceptualising Software Development Lifecycle for Engineering AI Planning Systems. CAIN (2023)
Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle
AIRA): A Systematic Mapping Study. CAIN (2023)
Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
Maintaining and Monitoring AIOps Models Against Concept Drift. CAIN (2023)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN (2023)
Iordanis Fostiropoulos, Bowman Brown, Laurent Itti
Reproducibility Requires Consolidated Artifacts. CAIN (2023)
Armin Moin, Atta Badii, Stephan Günnemann, Moharram Challenger
Enabling Machine Learning in Software Architecture Frameworks. CAIN (2023)
Hans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss, Jennifer Horkoff, Markus Borg, Alessia Knauss, Polly Jing Li
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges. CAIN (2023)
Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi, Hiroshi Tanaka, Kazuki Munakata
Extensible Modeling Framework for Reliable Machine Learning System Analysis. CAIN (2023)
Muhammed Tawfiq Chowdhury, Jane Cleland-Huang
Engineering Challenges for AI-Supported Computer Vision in Small Uncrewed Aerial Systems. CAIN (2023)
Arumoy Shome, Luís Cruz, Arie van Deursen
Towards Understanding Machine Learning Testing in Practise. CAIN (2023)
András Schmelczer, Joost Visser
Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelines. CAIN (2023)
Petra Heck, Gerard Schouten
Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform. CAIN (2023)
2nd IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2023, Melbourne, Australia, May 15-16, 2023 CAIN (2023)

2022