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.
Dates
Tracks
Mon 15 MayDisplayed time zone: Hobart change
Mon 15 May
Displayed time zone: Hobart change
17:00 - 17:15 | |||
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 | ||
19:00 - 20:30 | Training & LearningPapers at Virtual - Zoom for CAIN Chair(s): Rrezarta Krasniqi University of North Carolina at Charlotte Click here to Join us over zoomClick here to watch the session recording on YouTube | ||
19:00 20mLong-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 20mLong-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 20mLong-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 15mShort-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 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 | ||
21:45 30mBreak | 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 Click here to Join us over zoomClick Here to watch the session recording on Youtube | ||
22:30 60mKeynote | AI Engineering in Autonomous Vehicle Development - Ken Power Papers Ken Power Motional | ||
Tue 16 MayDisplayed time zone: Hobart change
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 Click here to Join us over zoomClick Here to watch the session recording on YouTube | ||
17:00 75mKeynote | Engineering Trustworthy AI Systems - Foutse Khomh Papers Foutse Khomh Polytechnique Montréal | ||
22:00 - 23:15 | Panel - OnlinePapers at Virtual - Zoom for CAIN Chair(s): Jan Bosch Chalmers University of Technology Click here to Join us over zoomClick here to watch the session recording on Youtube | ||
23:15 - 23:30 | |||
Sat 20 MayDisplayed time zone: Hobart change
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 15mDay opening | Welcome Papers Ipek Ozkaya Carnegie Mellon University | ||
09:15 75mKeynote | How international standards are defining best practice and helping implement AI responsibly: Dr. Aurelie Jacquet Papers | ||
11:00 - 12:30 | |||
11:00 30mTalk | safe.trAIn – Engineering and Assurance of a Driverless Regional Train Industrial Talks Marc Zeller Siemens AG | ||
11:30 30mTalk | Developing ethical and trustworthy AI/ML in the warfare domain Industrial Talks Hector Barron-Escobar Leidos Australia | ||
12:00 30mTalk | Helping companies de-risk the integration of first, second and third-party AI models into a customer engagement platform Industrial Talks Hilary Cinis Salesforce Ignite APAC | ||
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 8mLong-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 University of Toronto, Canada, Christian Kästner Carnegie Mellon University Pre-print File Attached | ||
13:38 8mShort-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 8mShort-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 8mShort-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 8mLong-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 50mPanel | Panel Discussion - Onsite Papers | ||
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 | ||
15:30 - 17:30 | Roadmap and Closing RemarksPapers at Meeting Room 105 Chair(s): Henry Muccini University of L'Aquila, Italy | ||
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
Important Dates AoE (UTC-12h)
| Fri 24 Mar 2023 Camera Ready |
| Fri 17 Mar 2023 Notifications |
| Fri 3 Feb 2023 Submission Deadline |
Submission Link
