CAIN 2023
Mon 15 - Sat 20 May 2023 Melbourne, Australia
co-located with ICSE 2023

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

Title
AI Living Lab: Quality Assurance for AI-based Health systems
Posters
AI Planning Software Development Lifecycle
Posters
File Attached
Algorithm Debt: Challenges and Future Paths
Posters
Controllable Robustness Training
Posters

Enabling Machine Learning in Software Architecture Frameworks
Posters
DOI Pre-print
Extensible Modeling Framework for Reliable Machine Learning System Analysis
Posters
How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems
Posters
Maintaining and Monitoring AIOps Models Against Concept Drift
Posters
Reproducibility Requires Consolidated Artifacts
Posters
Tenet: A Flexible Framework for Machine Learning-based Vulnerability Detection
Posters
Towards Understanding Machine Learning Testing in Practise
Posters
Pre-print

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.

Dates
Tracks
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Mon 15 May

Displayed time zone: Hobart change

17:00 - 17:15
Welcome - OnlinePapers at Virtual - Zoom for CAIN

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17:15 - 18:45
Data & Model OptimizationPapers / Posters / Industrial Talks at Virtual - Zoom for CAIN
Chair(s): Justus Bogner University of Stuttgart

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17:15
15m
Short-paper
Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects
Papers
Laurent Boué Microsoft, Pratap Kunireddy Microsoft, Pavle Subotic Microsoft Azure
Pre-print
17:30
15m
Short-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
20m
Long-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
15m
Short-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
20m
Long-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
19:00 - 20:30
Training & LearningPapers at Virtual - Zoom for CAIN
Chair(s): Rrezarta Krasniqi University of North Texas

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19:00
20m
Long-paper
Replay-Driven Continual Learning for the Industrial Internet of Things
Papers
Sagar Sen , Simon Myklebust Nielsen University of Oslo, Norway, Erik Johannes Husom SINTEF Digital, Arda Goknil SINTEF Digital, Simeon Tverdal SINTEF Digital, Leonardo Sastoque Pinilla Centro de Fabricación Avanzada Aeronáutica (CFAA)
19:20
20m
Long-paper
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment
Papers
Qiang Hu University of Luxembourg, Yuejun GUo University of Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Xiaofei Xie Singapore Management University, Wei Ma Nanyang Technological University, Singapore, Mike Papadakis University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
19:40
20m
Long-paper
Exploring Hyperparameter Usage and Tuning in Machine Learning ResearchDistinguished paper Award Candidate
Papers
Sebastian Simon Leipzig University, Nikolay Kolyada , Christopher Akiki Leipzig University, Martin Potthast Leipzig University, Benno Stein Bauhaus-University Weimar, Norbert Siegmund Leipzig University
Pre-print
20:00
15m
Short-paper
An Initial Analysis of Repair and Side-effect Prediction for Neural Networks
Papers
Yuta Ishimoto Kyushu University, Ken Matsui Kyushu University, Masanari Kondo Kyushu University, Naoyasu Ubayashi Kyushu University, Yasutaka Kamei Kyushu University
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

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20:45
6m
Poster
AI Living Lab: Quality Assurance for AI-based Health systems
Posters
Valentina Lenarduzzi University of Oulu, Minna Isomursu University of Oulu
20:51
6m
Poster
AI Planning Software Development Lifecycle
Posters
Ilche Georgievski University of Stuttgart, Germany
File Attached
20:57
6m
Poster
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
6m
Poster
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
6m
Poster
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
6m
Poster
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
6m
Poster
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
6m
Poster
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
6m
Poster
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
6m
Poster
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
21:45
30m
Break
Break Out Session - Online
Papers

22:30 - 23:30
Keynote - Dr. Ken PowerPapers at Virtual - Zoom for CAIN
Chair(s): Helena Holmström Olsson Malmö University

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22:30
60m
Keynote
AI Engineering in Autonomous Vehicle Development - Ken Power
Papers
Ken Power Motional

Tue 16 May

Displayed time zone: Hobart change

17:00 - 18:15
Keynote - Dr. Foutse KhomhPapers at Virtual - Zoom for CAIN
Chair(s): Ipek Ozkaya Carnegie Mellon University

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17:00
75m
Keynote
Engineering Trustworthy AI Systems - Foutse Khomh
Papers
Foutse Khomh Polytechnique Montréal
18:30 - 20:00
TrustPapers at Virtual - Zoom for CAIN
Chair(s): Zhenchang Xing CSIRO’s Data61; Australian National University

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18:30
20m
Long-paper
Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study
Papers
Boming Xia CSIRO's Data61 & University of New South Wales, Qinghua Lu CSIRO’s Data61, Harsha Perera CSIRO's Data61 & University of New South Wales, Liming Zhu The University of New South Wales, Zhenchang Xing , Yue Liu CSIRO's Data61 & University of New South Wales, Jon Whittle CSIRO's Data61 and Monash University
Pre-print
18:50
20m
Long-paper
Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform
Papers
Petra Heck Fontys University of Applied Sciences, Gerard Schouten Fontys University of Applied Sciences
Pre-print
19:10
20m
Long-paper
Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelinesDistinguished paper Award Candidate
Papers
Andras Schmelczer Leiden University, Joost Visser Leiden University
Pre-print
19:30
15m
Short-paper
Towards Code Generation from BDD Test Case Specifications: A vision
Papers
Leon Chemnitz TU Darmstadt, David Reichenbach TU Darmstadt, Germany, Hani Aldebes TU Darmstadt, Mariam Naveed TU Darmstadt, Krishna Narasimhan TU Darmstadt, Mira Mezini TU Darmstadt
Pre-print
20:15 - 21:45
AI System DesignPapers at Virtual - Zoom for CAIN
Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute

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20:15
20m
Long-paper
A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
Papers
Marcel Grote , Justus Bogner University of Stuttgart
Pre-print
20:35
20m
Long-paper
Engineering Challenges for AI-Supported Computer Vision in Small Uncrewed Aerial Systems
Papers
Muhammed Tawfiq Chowdhury University of Notre Dame, Jane Cleland-Huang University of Notre Dame
Pre-print
20:55
20m
Long-paper
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ PractitionersDistinguished paper Award Candidate
Papers
Nadia Nahar Carnegie Mellon University, Haoran Zhang Carnegie Mellon University, USA, Grace Lewis Carnegie Mellon Software Engineering Institute, Shurui Zhou Carnegie Mellon University, USA / University of Toronto, CA, Christian Kästner Carnegie Mellon University
Pre-print File Attached
21:15
20m
Long-paper
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
Papers
Lukas Heiland University of Stuttgart, Germany, Marius Hauser University of Stuttgart, Germany, Justus Bogner University of Stuttgart
Pre-print
22:00 - 23:15
Panel - OnlinePapers at Virtual - Zoom for CAIN
Chair(s): Jan Bosch Chalmers University of Technology

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23:15 - 23:30
Closing - Online Papers at Virtual - Zoom for CAIN

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Sat 20 May

Displayed time zone: Hobart change

09:00 - 10:30
Welcome and Keynote by Dr. Aurelie JacquetPapers at Meeting Room 105
Chair(s): Zhenchang Xing CSIRO’s Data61; Australian National University
09:00
15m
Day opening
Welcome
Papers
Ipek Ozkaya Carnegie Mellon University
09:15
75m
Keynote
How international standards are defining best practice and helping implement AI responsibly: Dr. Aurelie Jacquet
Papers
13:30 - 15:00
Realizing the Promise of AI: Challenges and Visions Papers at Meeting Room 105
Chair(s): Ipek Ozkaya Carnegie Mellon University
13:30
8m
Long-paper
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ PractitionersDistinguished paper Award Candidate
Papers
Nadia Nahar Carnegie Mellon University, Haoran Zhang Carnegie Mellon University, USA, Grace Lewis Carnegie Mellon Software Engineering Institute, Shurui Zhou Carnegie Mellon University, USA / University of Toronto, CA, Christian Kästner Carnegie Mellon University
Pre-print File Attached
13:38
8m
Short-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
13:46
8m
Short-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
13:54
8m
Short-paper
Towards Code Generation from BDD Test Case Specifications: A vision
Papers
Leon Chemnitz TU Darmstadt, David Reichenbach TU Darmstadt, Germany, Hani Aldebes TU Darmstadt, Mariam Naveed TU Darmstadt, Krishna Narasimhan TU Darmstadt, Mira Mezini TU Darmstadt
Pre-print
14:02
8m
Long-paper
Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study
Papers
Boming Xia CSIRO's Data61 & University of New South Wales, Qinghua Lu CSIRO’s Data61, Harsha Perera CSIRO's Data61 & University of New South Wales, Liming Zhu The University of New South Wales, Zhenchang Xing , Yue Liu CSIRO's Data61 & University of New South Wales, Jon Whittle CSIRO's Data61 and Monash University
Pre-print
14:10
50m
Panel
Panel Discussion - Onsite
Papers

15:00 - 15:30
Onsite - PosterPosters at Meeting Room 105
15:00
6m
Poster
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
6m
Poster
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
6m
Poster
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
6m
Poster
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
6m
Poster
AI Living Lab: Quality Assurance for AI-based Health systems
Posters
Valentina Lenarduzzi University of Oulu, Minna Isomursu University of Oulu
15:30 - 17:30
Roadmap and Closing RemarksPapers at Meeting Room 105
Chair(s): Henry Muccini University of L'Aquila, Italy

Not scheduled yet

Not scheduled yet
Poster
Controllable Robustness Training
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