In addition to full technical papers, CAIN 2023 provides the opportunity to submit posters which will be included in the proceedings as two-page extended abstracts. New ideas, a starting work and the results, or presentation of challenges in theory in practice, related to the topics of AI engineering, are welcome to be submitted. In addition, the full papers that will not be accepted, but are of interest for the AI engineering community, will be invited to submit to this track.
Accepted Posters
Call for Posters
Submissions
The authors need to submit a 2-page extended abstract that should adhere to the ICSE 2023 Conference Proceedings Formatting Guidelines. The 2-page extended abstract of each accepted poster may, at the authors’ discretion, be published in the CAIN’23 proceedings.
The submissions must adhere to the rules specified by the Submission Format
Abstracts must be submitted electronically at the submission site EasyChair CAIN2023-posters by the submission deadline. A submission will be desk rejected if it does not comply with the instructions and size limits. At least one author of each accepted extended abstract is required to register for the CAIN 2023 conference and to present the poster. Each accepted poster will be presented by its authors during the 2 days of the CAIN conference.
Mon 15 MayDisplayed time zone: Hobart change
17:15 - 18:45 | Data & Model OptimizationPapers / Posters / Industrial Talks at Virtual - Zoom for CAIN Chair(s): Justus Bogner University of Stuttgart Click here to Join us over zoomClick here to watch the session recording on Youtube | ||
17:15 15mShort-paper | Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects Papers Pre-print | ||
17:30 15mShort-paper | Dataflow graphs as complete causal graphs Papers Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge, Siyuan Guo Max Planck Institute for Intelligent Systems, Bernhard Schölkopf MPI Tuebingen, Neil D. Lawrence Department of Computer Science and Technology, Univesity of Cambridge Pre-print | ||
17:45 20mLong-paper | Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AIDistinguished paper Award Candidate Papers Tim Yarally Delft University of Technology, Luís Cruz Delft University of Technology, Daniel Feitosa University of Groningen, June Sallou Delft University of Technology, Arie van Deursen Delft University of Technology Pre-print | ||
18:05 15mShort-paper | Prevalence of Code Smells in Reinforcement Learning Projects Papers Nicolás Cardozo Universidad de los Andes, Ivana Dusparic Trinity College Dublin, Ireland, Christian Cabrera Department of Computer Science and Technology, Univesity of Cambridge Pre-print Media Attached | ||
18:20 20mLong-paper | Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges Papers Hans-Martin Heyn University of Gothenburg & Chalmers University of Technology, Khan Mohammad Habibullah University of Gothenburg, Eric Knauss Chalmers | University of Gothenburg, Jennifer Horkoff Chalmers and the University of Gothenburg, Markus Borg CodeScene, Alessia Knauss Zenseact AB, Polly Jing Li Kognic AB Pre-print | ||
20:45 - 22:15 | Poster - OnlinePosters / Papers at Virtual - Zoom for CAIN Chair(s): Mona Rahimi Northern Illinois University, Karthik Vaidhyanathan IIIT Hyderabad Click here to Join us over zoomClick Here to watch the session recording on YouTube | ||
20:45 6mPoster | AI Living Lab: Quality Assurance for AI-based Health systems Posters | ||
20:51 6mPoster | AI Planning Software Development Lifecycle Posters Ilche Georgievski University of Stuttgart, Germany File Attached | ||
20:57 6mPoster | Algorithm Debt: Challenges and Future Paths Posters Emmanuel Iko-Ojo Simon Australian National University, Melina Vidoni Australian National University, Fatemeh Hendijani Fard University of British Columbia | ||
21:03 6mPoster | Enabling Machine Learning in Software Architecture Frameworks Posters Armin Moin University of California, Santa Barbara, Atta Badii University of Reading, United Kingdom, Stephan G¨unnemann School of Computation, Information and Technology, Technical University of Munich, Munich, Germany, Moharram Challenger University of Antwerp DOI Pre-print | ||
21:09 6mPoster | Extensible Modeling Framework for Reliable Machine Learning System Analysis Posters Jati Hiliamsyah Husen Waseda University, Hironori Washizaki Waseda University, Hnin Thandar Tun Waseda University, Japan, Nobukazu Yoshioka Waseda University, Japan, Yoshiaki Fukazawa Waseda University, Hironori Takeuchi Musashi University, Hiroshi Tanaka Fujitsu Limited, Tokyo, Japan, Kazuki Munakata Fujitsu Limited, Tokyo, Japan | ||
21:15 6mPoster | How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems Posters Iva Krasteva Sofia University, GATE Institute, Boris Kraychev GATE Institute, Ensiye Kiyamousavi GATE Institute | ||
21:21 6mPoster | Maintaining and Monitoring AIOps Models Against Concept Drift Posters Lorena Poenaru-Olaru TU Delft, Luís Cruz Delft University of Technology, Jan S. Rellermeyer Leibniz University Hannover, Arie van Deursen Delft University of Technology | ||
21:27 6mPoster | Reproducibility Requires Consolidated Artifacts Posters Iordanis Fostiropoulos University of Southern California, USA, Bowman Brown University of Southern California, USA, Laurent Itti University of Southern California, USA | ||
21:33 6mPoster | Tenet: A Flexible Framework for Machine Learning-based Vulnerability Detection Posters Eduard Costel Pinconschi Instituto Superior Técnico, University of Lisboa & INESC-ID, Sofia Reis Instituto Superior Técnico, U. Lisboa & INESC-ID, Chi Zhang , Rui Abreu Faculty of Engineering, University of Porto, Hakan Erdogmus Carnegie Mellon University, Limin Jia Carnegie Mellon University | ||
21:39 6mPoster | Towards Understanding Machine Learning Testing in Practise Posters Arumoy Shome Delft University of Technology, Luís Cruz Delft University of Technology, Arie van Deursen Delft University of Technology Pre-print | ||
Sat 20 MayDisplayed time zone: Hobart change
15:00 - 15:30 | |||
15:00 6mPoster | Maintaining and Monitoring AIOps Models Against Concept Drift Posters Lorena Poenaru-Olaru TU Delft, Luís Cruz Delft University of Technology, Jan S. Rellermeyer Leibniz University Hannover, Arie van Deursen Delft University of Technology | ||
15:06 6mPoster | Towards Understanding Machine Learning Testing in Practise Posters Arumoy Shome Delft University of Technology, Luís Cruz Delft University of Technology, Arie van Deursen Delft University of Technology Pre-print | ||
15:12 6mPoster | Algorithm Debt: Challenges and Future Paths Posters Emmanuel Iko-Ojo Simon Australian National University, Melina Vidoni Australian National University, Fatemeh Hendijani Fard University of British Columbia | ||
15:18 6mPoster | Extensible Modeling Framework for Reliable Machine Learning System Analysis Posters Jati Hiliamsyah Husen Waseda University, Hironori Washizaki Waseda University, Hnin Thandar Tun Waseda University, Japan, Nobukazu Yoshioka Waseda University, Japan, Yoshiaki Fukazawa Waseda University, Hironori Takeuchi Musashi University, Hiroshi Tanaka Fujitsu Limited, Tokyo, Japan, Kazuki Munakata Fujitsu Limited, Tokyo, Japan | ||
15:24 6mPoster | AI Living Lab: Quality Assurance for AI-based Health systems Posters | ||
Unscheduled Events
| Not scheduled Poster | Controllable Robustness Training Posters |
List of Accepted Posters
-
Title: Algorithm Debt: Challenges and Future Paths.
Authors: Emmanuel Iko-Ojo Simon, Melina Vidoni, and Fatemeh H. Fard -
Title: AI Living Lab: Quality Assurance for AI-based health systems.
Authors: Valentina Lenarduzzi and Minna Isomursu -
Title: Maintaining and Monitoring AIOps Models Against Concept Drift.
Authors: Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer and
Arie van Deursen -
Title: How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems.
Authors: Iva Krasteva, Boris Kraychev and Ensiye Kiyamousavi -
Title: Reproducibility Requires Consolidated Artifacts.
Authors: Iordanis Fostiropoulos, Bowman Brown and Laurent Itti -
Title: On an AI Planning Software Development Lifecycle.
Authors: Ilche Georgievski. -
Title: Towards Understanding Machine Learning Testing in Practise.
Authors: Arumoy Shome, Luis Cruz and Arie van Deursen -
Title: Extensible Modeling Framework for Reliable Machine Learning System Analysis.
Authors: ati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi, Hiroshi Tanaka and Kazuki Munakata. -
Title: Enabling Machine Learning in Software Architecture Frameworks.
Authors: Armin Moin, Atta Badii, Stephan G¨unnemann and Moharram Challenger -
Title: Tenet: A Flexible Framework for Machine Learning-based Vulnerability Detection.
Authors: Eduard Pinconschi, Sofia Reis, Chi Zang, Rui Abreu, Hakan Erdogmus, Corina Pasareanu and Limin Jia
| Fri 24 Mar 2023 Camera Ready |
| Fri 17 Mar 2023 Notifications |
| Fri 3 Feb 2023 Submission Deadline |
