In addition to full technical papers, CAIN 2024 provides the opportunity to submit posters which can be included in the proceedings as two-page extended abstracts. New ideas, starting work and results, or presentation of challenges in theory in practice, related to the topics of AI engineering, are welcome. In addition, full papers that are not accepted, but are of interest for the AI engineering community, will be invited to submit to this track.
Accepted Posters
Submission
Posters authors need to submit a 2-page extended abstract that should adhere to the ICSE 2024 Conference Proceedings Formatting Guidelines. The 2-page extended abstract of each accepted poster may, at the authors’ discretion, be published in the CAIN’24 proceedings.
All authors should use the official “ACM Primary Article Template”, as can be obtained from the ACM Proceedings Template page. LaTeX users should use the sigconf option, as well as the review option (to produce line numbers for easy reference by the reviewers). To that end, the following LaTeX code can be placed at the start of the LaTeX document:
\documentclass[sigconf,review]{acmart}
\acmConference[CAIN 2024]{3rd International Conference on AI Engineering — Software Engineering for AI}{April 2024}{Lisbon, Portugal}
Abstracts must be submitted electronically at the submission site 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 2024 conference and to present the poster. Each accepted poster will be presented by its authors during the 2 days of CAIN conference.
Dates
Tracks
Sun 14 AprDisplayed time zone: Lisbon change
Sun 14 Apr
Displayed time zone: Lisbon change
09:00 - 10:30 | Opening and KeynoteResearch and Experience Papers at Pequeno Auditório Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute | ||
09:00 30mDay opening | Opening Research and Experience Papers | ||
09:30 60mKeynote | Keynote by Pedro Bizarro - To have great machine learning models in production in harsh environments, first focus on the harsh environments Research and Experience Papers | ||
11:00 - 12:30 | Architecting, Designing, Managing, and Modeling AI-Enabled SystemsIndustry Talks / Research and Experience Papers at Pequeno Auditório Chair(s): Nicolás Cardozo Universidad de los Andes | ||
11:00 10mTalk | A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture Research and Experience Papers Qinghua Lu Data61, CSIRO, Liming Zhu CSIRO’s Data61, Xiwei (Sherry) Xu Data61, CSIRO, Yue Liu CSIRO's Data61 & University of New South Wales, Zhenchang Xing CSIRO's Data61, Jon Whittle CSIRO's Data61 and Monash University | ||
11:10 15mTalk | Investigating the Impact of Solid Design Principles on Machine Learning Code Understanding Research and Experience Papers Raphael Cabral Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Maria Teresa Baldassarre Department of Computer Science, University of Bari , Hugo Villamizar Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Tatiana Escovedo Pontifical Catholic University of Rio de Janeiro, Helio Côrtes Vieira Lopes PUC-Rio Pre-print | ||
11:25 10mIndustry talk | KnowING Intelligent Document Classification: A Deep Dive into Microservices and Efficient Models at ING Industry Talks A: Andrew Rutherfoord CWI; University of Groningen, A: Gert Vermeer , Andrea Capiluppi Brunel University | ||
11:35 15mTalk | An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering PerspectiveDistinguished paper Award Candidate Research and Experience Papers Jie JW Wu University of British Columbia (UBC) Pre-print | ||
11:50 10mIndustry talk | Engineering Challenges in Industrial AI Industry Talks | ||
12:00 10mTalk | Approach for Argumenting Safety on Basis of an Operational Design Domain Research and Experience Papers Gereon Weiss Fraunhofer IKS, Marc Zeller Siemens AG, Hannes Schoenhaar Siemens Corporate Technology, Christian Drabek Fraunhofer Institute for Cognitive Systems IKS, Andreas Kreutz Fraunhofer Institute for Cognitive Systems IKS | ||
12:10 15mTalk | The Impact of Knowledge Distillation on the Performance and Energy Consumption of NLP Models Research and Experience Papers Ye Yuan Vrije Universiteit Amsterdam, Jiacheng Shi Vrije Universiteit Amsterdam, Zongyao Zhang Vrije Universiteit Amsterdam, Kaiwei Chen Vrije Universiteit Amsterdam, Eloise Zhang Vrije Universiteit Amsterdam, Vincenzo Stoico Vrije Universiteit Amsterdam, Ivano Malavolta Vrije Universiteit Amsterdam | ||
16:00 - 18:00 | Generative AI EngineeringIndustry Talks / Research and Experience Papers at Pequeno Auditório Chair(s): Ipek Ozkaya Carnegie Mellon University | ||
16:00 15mTalk | Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes Research and Experience Papers Gustavo Pinto Federal University of Pará (UFPA) and Zup Innovation, Cleidson de Souza Federal University of Pará, Brazil, Thayssa Rocha Zup Innovation & UFPA, Igor Steinmacher Northern Arizona University, Alberto de Souza Zup Innovation, Edward Monteiro StackSpot | ||
16:15 10mTalk | Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective Research and Experience Papers Dawen (David) Zhang CSIRO's Data61, Boming Xia CSIRO's Data61 & University of New South Wales, Yue Liu CSIRO's Data61 & University of New South Wales, Xiwei (Sherry) Xu Data61, CSIRO, Thong Hoang CSIRO's Data61, Zhenchang Xing CSIRO's Data61, Mark Staples CSIRO, Australia, Qinghua Lu Data61, CSIRO, Liming Zhu CSIRO’s Data61 | ||
16:25 10mIndustry talk | Innovating Translation: Lessons Learned from BWX Generative Language Engine Industry Talks | ||
16:35 15mTalk | Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI AccountabilityDistinguished paper Award Candidate Research and Experience Papers Boming Xia CSIRO's Data61 & University of New South Wales, Qinghua Lu Data61, CSIRO, Liming Zhu CSIRO’s Data61, Sung Une (Sunny) Lee CSIRO's Data61, Yue Liu CSIRO's Data61 & University of New South Wales, Zhenchang Xing CSIRO's Data61 Pre-print | ||
16:50 10mLive Q&A | GenAI : Q&A Research and Experience Papers | ||
17:00 60mPanel | Industry Panel Industry Talks | ||
Mon 15 AprDisplayed time zone: Lisbon change
Mon 15 Apr
Displayed time zone: Lisbon change
09:00 - 10:30 | Keynote and PostersPosters / Research and Experience Papers at Pequeno Auditório Chair(s): Jan Bosch Chalmers University of Technology, Henry Muccini University of L'Aquila, Italy | ||
09:00 3mTalk | A Domain Specific Language for Specification of Risk-oriented Object Detection Requirements Posters | ||
09:03 3mTalk | AI Security Continuum: Concept and Challenges Posters | ||
09:06 3mTalk | A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data Posters Mojtaba Mostafavi Department of Computer Engineering of Sharif University of Technology, Hamed Jahantigh Department of Computer Engineering of Sharif University of Technology, Alireza Asadi Department of Computer Engineering of Sharif University of Technology, Sepehr Kianian Department of Computer Engineering of Sharif University of Technology, Ashkan Khademian Department of Computer Engineering of Sharif University of Technology, Abbas Heydarnoori Bowling Green State University | ||
09:09 3mTalk | Automating Patch Set Generation from Code Reviews Using Large Language Models Posters Md Tajmilur Rahman Gannon University | ||
09:12 3mTalk | Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search Posters Gustavo Rodrigues dos Reis NAVER LABS Europe/LIG - UGA, Adrian Mos NAVER LABS Europe, Mario Cortes Cornax LIG - UGA, Cyril Labbé LIG - UGA | ||
09:15 3mTalk | Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation Posters Mojtaba Mostafavi Department of Computer Engineering of Sharif University of Technology, Ashkan Khademian Department of Computer Engineering of Sharif University of Technology, Sepehr Kianian Department of Computer Engineering of Sharif University of Technology, Alireza Asadi Department of Computer Engineering of Sharif University of Technology, Hamed Jahantigh Department of Computer Engineering of Sharif University of Technology, Abbas Heydarnoori Bowling Green State University | ||
09:18 3mTalk | Can causality accelerate experimentation in software systems? Posters Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge, Han-Bo Li Department of Computer Science and Technology, University of Cambridge, Neil D. Lawrence Department of Computer Science and Technology, Univesity of Cambridge | ||
09:21 3mTalk | Custom Developer GPT for Ethical AI Solutions Posters Lauren Olson Vrije Universiteit Amsterdam Pre-print | ||
09:24 3mTalk | Evaluation of The Generality of Multi-view Modeling Framework for ML Systems Posters Jati H. Husen Waseda University, Japan, Jomphon Runpakprakun Waseda University, Japan, Sun Chang Waseda University, Japan, Hironori Washizaki Waseda University, Hnin Thandar Tun Waseda University, Japan, Nobukazu Yoshioka Waseda University, Japan, Yoshiaki Fukazawa Waseda University | ||
09:27 3mTalk | Prompt Smells: An Omen for Undesirable Generative AI Outputs Posters Krishna Ronanki University Of Gothenburg, Beatriz Cabrero-Daniel University of Gothenburg, Christian Berger Chalmers University of Technology, Sweden | ||
09:30 3mTalk | Taxonomy of Generative AI Applications for Risk Assessment Posters Hiroshi Tanaka Fujitsu Limited, Tokyo, Japan, Masaru Ide Fujitsu Limited, Jun Yajima Fujitsu Limited, Sachiko Onodera Fujitsu Limited, Kazuki Munakata Fujitsu Limited, Tokyo, Japan, Nobukazu Yoshioka Waseda University, Japan | ||
09:35 55mKeynote | Keynote by Christian Kästner - From Models to Systems: On the Role of Software Engineering for Machine Learning Research and Experience Papers Christian Kästner Carnegie Mellon University | ||
11:00 - 12:30 | Doctoral Symposium and Energy-Aware AI EngineeringDoctoral Symposium / Research and Experience Papers at Pequeno Auditório Chair(s): Justus Bogner Vrije Universiteit Amsterdam, Silverio Martínez-Fernández UPC-BarcelonaTech | ||
11:00 6mTalk | Software Design Decisions for Greener Machine Learning-based Systems Doctoral Symposium Santiago del Rey Universitat Politècnica de Catalunya (UPC) | ||
11:06 6mTalk | Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach Doctoral Symposium | ||
11:12 6mTalk | Optimizing Data Analytics Workflows through User-driven Experimentation Doctoral Symposium Keerthiga Rajenthiram Vrije Universiteit Amsterdam | ||
11:18 6mTalk | Component-based Approach to Software Engineering of Machine Learning-enabled Systems Doctoral Symposium Vladislav Indykov Chalmers | University of Gothenburg | ||
11:24 6mTalk | Threat Modeling of ML-intensive Systems: Research Proposal Doctoral Symposium Felix Viktor Jedrzejewski Blekinge Institute of Technology | ||
11:30 6mTalk | Continuous Quality Assurance ML Pipelines under the AI Act Doctoral Symposium Matthias Wagner Lund University | ||
11:36 10mTalk | Green Runner: A tool for efficient deep learning component selection Research and Experience Papers Jai Kannan Applied Artificial Intelligence Institute, Deakin University, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, Anj Simmons , Taylan Selvi Applied Artificial Intelligence Institute, Deakin University, Luís Cruz Delft University of Technology | ||
11:46 15mTalk | Engineering Carbon Emission-aware Machine Learning Pipelines Research and Experience Papers | ||
12:01 10mTalk | Identifying architectural design decisions for achieving green ML serving Research and Experience Papers Francisco Durán Universitat Politècnica De Catalunya - Barcelona Tech, Silverio Martínez-Fernández UPC-BarcelonaTech, Matias Martinez Universitat Politècnica de Catalunya (UPC), Patricia Lago Vrije Universiteit Amsterdam Pre-print | ||
12:11 10mTalk | Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures Research and Experience Papers Negar Alizadeh Universiteit Utrecht, Fernando Castor University of Twente and Federal University of Pernambuco | ||
12:21 9mLive Q&A | Energy: Q&A Session Research and Experience Papers | ||
14:00 - 15:30 | |||
14:00 15mTalk | A Combinatorial Testing Approach to Hyperparameter OptimizationDistinguished paper Award Candidate Research and Experience Papers Krishna Khadka The University of Texas at Arlington, Jaganmohan Chandrasekaran Virginia Tech, Jeff Yu Lei University of Texas at Arlington, Raghu Kacker National Institute of Standards and Technology, D. Richard Kuhn National Institute of Standards and Technology | ||
14:15 15mTalk | Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs Research and Experience Papers | ||
14:30 10mTalk | LLMs for Test Input Generation for Semantic Applications Research and Experience Papers Zafaryab Rasool Applied Artificial Intelligence Institute, Deakin University, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, David Willie Applied Artificial Intelligence Institute, Deakin University, Stefanus Kurniawan Deakin University, Sherwin Balugo Applied Artificial Intelligence Institute, Deakin University, Srikanth Thudumu Deakin University, Mohamed Abdelrazek Deakin University, Australia | ||
14:40 10mTalk | (Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs Research and Experience Papers MA Wanqin The Hong Kong University of Science and Technology, Chenyang Yang Carnegie Mellon University, Christian Kästner Carnegie Mellon University | ||
14:50 10mTalk | Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models Research and Experience Papers Ali Nouri Volvo cars & Chalmers University of Technology, Beatriz Cabrero-Daniel University of Gothenburg, Fredrik Torner Volvo cars, Hakan Sivencrona Zenseact AB, Christian Berger Chalmers University of Technology, Sweden | ||
15:00 10mTalk | ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study Research and Experience Papers Hala Abdelkader Applied Artificial Intelligence Institute, Deakin University, Mohamed Abdelrazek Deakin University, Australia, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, Jean-Guy Schneider Monash University, Priya Rani RMIT University, Rajesh Vasa Deakin University, Australia | ||
15:10 20mLive Q&A | Test - Q&A Session Research and Experience Papers | ||
14:00 - 15:30 | |||
14:00 90mOther | Doctoral Symposium - 1 Doctoral Symposium | ||
16:00 - 18:00 | System QualitiesResearch and Experience Papers / Industry Talks at Pequeno Auditório Chair(s): Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge | ||
16:00 10mTalk | Modeling Resilience of Collaborative AI Systems Research and Experience Papers Diaeddin Rimawi Free University of Bozen-Bolzano, Antonio Liotta Free University of Bozen-Bolzano, Marco Todescato Fraunhofer Italia, Barbara Russo | ||
16:10 10mTalk | Seven Failure Points When Engineering a Retrieval Augmented Generation System Research and Experience Papers Scott Barnett Applied Artificial Intelligence Institute, Deakin University, Stefanus Kurniawan Deakin University, Srikanth Thudumu Deakin University, Zach Brannelly Deakin University, Mohamed Abdelrazek Deakin University, Australia | ||
16:20 15mTalk | POLARIS: A framework to guide the development of Trustworthy AI systems Research and Experience Papers Maria Teresa Baldassarre Department of Computer Science, University of Bari , Domenico Gigante SER&Practices and University of Bari, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Azzurra Ragone University of Bari | ||
16:35 15mTalk | Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory Research and Experience Papers A: Saeid Tizpaz-Niari University of Texas at El Paso, A: Sriram Sankaranarayanan University of Colorado, Boulder | ||
16:50 15mTalk | Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World Research and Experience Papers Lorena Poenaru-Olaru TU Delft, Natalia Karpova TU Delft, Luís Cruz Delft University of Technology, Jan S. Rellermeyer Leibniz University Hannover, Arie van Deursen Delft University of Technology | ||
17:05 15mTalk | Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving Research and Experience Papers Minh-Tri Nguyen Aalto University, Hong-Linh Truong Aalto University, Tram Truong-Huu Singapore Institute of Technology | ||
17:20 10mIndustry talk | Trustworthy AI: Industry-Guided Tooling of the Methods Industry Talks Zakaria Chihani CEA, LIST, France | ||
17:30 15mLive Q&A | System Qualities: Q&A Session Research and Experience Papers | ||
17:45 15mDay closing | Closing Research and Experience Papers Jan Bosch Chalmers University of Technology | ||
16:00 - 18:00 | |||
16:00 2hOther | Doctoral Symposium - 2 Doctoral Symposium | ||
List of Accepted Posters
Taxonomy of Generative AI Applications for Risk Assessment.
Authors: Hiroshi Tanaka, Masaru Ide, Jun Yajima, Sachiko Onodera, Kazuki Munakata, and Nobukazu Yoshioka
Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search.
Authors: Gustavo Rodrigues dos Reis, Adrian Mos, Mario Cortes Cornax, and Cyril Labbé
Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation
Authors: Mojtaba Mostafavi, Ashkan Khademian, Sepehr Kianian, Alireza Asadi, Hamed Jahantigh, and Abbas Heydarnoori
A Domain Specific Language for Specification of Risk-oriented Object Detection Requirements
Authors: Junji Hashimoto, Nobukazu Yoshioka, and Junji Hashimoto
Automating Patch Set Generation from Code Reviews Using Large Language Models
Authors: Md Tajmilur Rahman, Rahul Singh, and Mir Yousuf Sultan
Prompt Smells: An Omen for Undesirable Generative AI Outputs
Authors: Krishna Ronanki, Beatriz Cabrero-Daniel, and Christian Berger
AI Security Continuum: Concept and Challenges
Authors: Hironori Washizaki, and Nobukazu Yoshioka
A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data
Authors: Mojtaba Mostafavi, Hamed Jahantigh, Alireza Asadi, Sepehr Kianina, Ashkan Khademian, and Abbas Heydarnoori
Can causality accelerate experimentation in software systems?
Authors: Andrei Paleyes, Han-Bo Li, and Neil D. Lawrence
Evaluation of The Generality of Multi-view Modeling Framework for ML Systems
Authors: Jati H. Husen, Jomphon Runpakprakun, Sun Chang, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, and Jati H. Husen
Custom Developer GPT for Ethical AI Solutions
Authors: Lauren Olson
Important Dates AoE (UTC-12h)
| Sun 28 Jan 2024 Camera-Ready |
| Fri 19 Jan 2024 Notifications |
| Fri 15 Dec 2023 Extended Abstracts |
Submission Link
Jan-Philipp SteghöferPC Chair
XITASO GmbH IT & Software Solutions
Germany
Mona RahimiPC Chair
Northern Illinois University
United States
Nobukazu YoshiokaCommittee Member
Waseda University, Japan
Japan
Luís CruzCommittee Member
Delft University of Technology
Netherlands
Lukas EsterleCommittee Member
Aarhus University
Denmark
Ilias GerostathopoulosCommittee Member
Vrije Universiteit Amsterdam
Netherlands
Razan GhzouliCommittee Member
Chalmers University of Technology & University of Gothenburg
Sweden
Jin L.C. GuoCommittee Member
McGill University
Canada