This year, CAIN will include a Doctoral Symposium, providing students with the opportunity to receive rich feedback on their PhD work related to the CAIN themes of Software Engineering applied to AI and Data Science. Students may submit single-author abstracts of early-stage ideas or late-stage work for review by the Doctoral Symposium Committee.
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 | ||
Accepted Papers
| Title | |
|---|---|
| Component-based Approach to Software Engineering of Machine Learning-enabled Systems Doctoral Symposium | |
| Continuous Quality Assurance ML Pipelines under the AI Act Doctoral Symposium | |
| Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach Doctoral Symposium | |
| Optimizing Data Analytics Workflows through User-driven Experimentation Doctoral Symposium | |
| Software Design Decisions for Greener Machine Learning-based Systems Doctoral Symposium | |
| Threat Modeling of ML-intensive Systems: Research Proposal Doctoral Symposium |
Submissions
All submissions should be accompanied by an endorsement letter from their advisor including the assessment of the current status of the research and an expected date for the completion of the dissertation.
For the early PhD category, the submissions should be 2 pages long, with one additional page permitted for references only. The submissions should clearly state:
- the problem to be solved in the student’s research (justify why this problem is important and make clear that previous research and related work has not yet solved that problem),
- the research hypothesis or claim,
- the expected contributions of the research,
- the plan for evaluating the contribution and presenting credible evidence of the results to the community.
For the late PhD category, the submissions should be 4 pages long, with one additional page permitted for references only. The submissions should include the bulleted items and:
- a description of the results achieved so far, and
- the planned timeline for completion
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 (to produce line numbers for easy reference by the reviewers) option. 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}
All students with accepted submissions will receive feedback via a Zoom session in advance of CAIN. In addition, students with early-stage abstracts will be invited to present their work at CAIN via a poster (following poster formatting described above), while late-stage work will be presented through a talk in the main CAIN conference. The submissions may, at the review committee discretion, be published in the CAIN’24 proceedings.
Authors of all accepted submissions are required to register for the CAIN 2024 conference.
Accepted Talks
Optimizing Data Analytics Workflows through User-driven Experimentation
Author: Keerthiga Rajenthiram
Software Design Decisions for Greener Machine Learning-based Systems
Author: Santiago del Rey Juarez
Continuous Quality Assurance and ML Pipelines under the AI Act
Author: Matthias Wagner
Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach
Author: Rafiullah Omar
Threat Modeling of ML-intensive Systems: Research Proposal
Author: Felix Viktor Jedrzejewski
Component-based Approach to Software Engineering of Machine Learning-enabled Systems
Author: Vladislav Indykov
Important Dates AoE (UTC-12h)
| Sun 28 Jan 2024 Camera-Ready |
| Fri 19 Jan 2024 Notifications |
| Fri 15 Dec 2023 Submissions |
Submission Link
Justus BognerPC Chair
Vrije Universiteit Amsterdam
Netherlands
Jane Cleland-HuangPC Chair
University of Notre Dame
United States
Sallam AbualhaijaPC Member
University of Luxembourg
Luxembourg
Jin L.C. GuoPC Member
McGill University
Canada
Xavier FranchPC Member
Universitat Politècnica de Catalunya
Spain
Jennifer HorkoffPC Member
Chalmers and the University of Gothenburg
Sweden
Foutse KhomhPC Member
École Polytechnique de Montréal
Canada
Qinghua LuPC Member
Data61, CSIRO
Australia
Xiwei (Sherry) XuPC Member
Data61, CSIRO
Australia
Luís CruzPC Member
Delft University of Technology
Netherlands