CAIN 2024 - Doctoral Symposium

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.

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Mon 15 Apr
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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 6m Talk		Software Design Decisions for Greener Machine Learning-based Systems Doctoral Symposium Santiago del Rey Universitat Politècnica de Catalunya (UPC)
11:06 6m Talk		Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach Doctoral Symposium Rafiullah Omar
11:12 6m Talk		Optimizing Data Analytics Workflows through User-driven Experimentation Doctoral Symposium Keerthiga Rajenthiram Vrije Universiteit Amsterdam
11:18 6m Talk		Component-based Approach to Software Engineering of Machine Learning-enabled Systems Doctoral Symposium Vladislav Indykov Chalmers \| University of Gothenburg
11:24 6m Talk		Threat Modeling of ML-intensive Systems: Research Proposal Doctoral Symposium Felix Viktor Jedrzejewski Blekinge Institute of Technology
11:30 6m Talk		Continuous Quality Assurance ML Pipelines under the AI Act Doctoral Symposium Matthias Wagner Lund University
11:36 10m Talk		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 15m Talk		Engineering Carbon Emission-aware Machine Learning Pipelines Research and Experience Papers Erik Johannes Husom SINTEF Digital, Sagar Sen , Arda Goknil SINTEF Digital
12:01 10m Talk		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 10m Talk		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 9m Live Q&A		Energy: Q&A Session Research and Experience Papers

14:00 - 15:30	Doctoral Symposium -1Doctoral Symposium at Vianna da Motta

14:00 90m Other		Doctoral Symposium - 1 Doctoral Symposium

16:00 - 18:00	Doctoral Symposium -2Doctoral Symposium at Vianna da Motta

16:00 2h Other		Doctoral Symposium - 2 Doctoral Symposium

Accepted Papers

	Title
	Component-based Approach to Software Engineering of Machine Learning-enabled Systems Doctoral Symposium Vladislav Indykov
	Continuous Quality Assurance ML Pipelines under the AI Act Doctoral Symposium Matthias Wagner
	Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach Doctoral Symposium Rafiullah Omar
	Optimizing Data Analytics Workflows through User-driven Experimentation Doctoral Symposium Keerthiga Rajenthiram
	Software Design Decisions for Greener Machine Learning-based Systems Doctoral Symposium Santiago del Rey
	Threat Modeling of ML-intensive Systems: Research Proposal Doctoral Symposium Felix Viktor Jedrzejewski

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.

09:00 - 10:30	Opening and KeynoteResearch and Experience Papers at Pequeno Auditório Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute

09:00 30m Day opening		Opening Research and Experience Papers
09:30 60m Keynote		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 10m Talk		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 15m Talk		Investigating the Impact of Solid Design Principles on Machine Learning Code UnderstandingDistinguished paper Award Candidate 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 10m Industry 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 15m Talk		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 10m Industry talk		Engineering Challenges in Industrial AI Industry Talks Martin Hollender ABB, Chaojun Xu ABB, Ruomu Tan ABB
12:00 10m Talk		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 15m Talk		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

14:00 - 15:30	Data Engineering and Management for AI-Enabled SystemsResearch and Experience Papers / Industry Talks at Pequeno Auditório Chair(s): Marc Zeller Siemens AG

14:00 15m Talk		What About the Data? A Mapping Study on Data Engineering for AI Systems Research and Experience Papers Petra Heck Fontys University of Applied Sciences Pre-print
14:15 15m Talk		Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality Research and Experience Papers Gilberto Recupito University of Salerno, Raimondo Rapacciuolo University of Salerno, Dario Di Nucci University of Salerno, Fabio Palomba University of Salerno
14:30 15m Talk		An Exploratory Study of Dataset and Model Management in Open Source Machine Learning ApplicationsDistinguished paper Award Candidate Research and Experience Papers Tajkia Rahman Toma University of Alberta, Cor-Paul Bezemer University of Alberta
14:45 10m Talk		DVC in Open Source AI-development: The Action and the Reaction Research and Experience Papers Lorena Barreto Simedo Pacheco Concordia University, Musfiqur Rahman Concordia University, Fazle Rabbi Concordia University, Pouya Fathollahzadeh Queen’s University, Ahmad Abdellatif University of Calgary, Emad Shihab Concordia University, Tse-Hsun (Peter) Chen Concordia University, Jinqiu Yang Concordia University, Ying Zou Queen's University, Kingston, Ontario
14:55 10m Industry talk		Structuring the world of unstructured text data – Balancing business requirements, training data availability, and model performance. Industry Talks A: Sooji Han , Berinike Tech
15:05 10m Industry talk		Invited: Artificial Intelligence Projects, a quest between meaningful use cases, data, and unfulfilled desires. Industry Talks A: Andreas Jedlitschka Fraunhofer IESE
15:15 15m Live Q&A		Data : Q&A Session Research and Experience Papers

16:00 - 18:00	Generative AI EngineeringIndustry Talks / Research and Experience Papers at Pequeno Auditório Chair(s): Ipek Ozkaya Carnegie Mellon University

16:00 15m Talk		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 10m Talk		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 10m Industry talk		Innovating Translation: Lessons Learned from BWX Generative Language Engine Industry Talks Vanilson Burégio Bureau Works, A: Iverson Pereira Bureau Works, Henrique Cabral
16:35 15m Talk		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 10m Live Q&A		GenAI : Q&A Research and Experience Papers
17:00 60m Panel		Industry Panel Industry Talks

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 3m Talk		A Domain Specific Language for Specification of Risk-oriented Object Detection Requirements Posters Junji Hashimoto GREE, Inc., Nobukazu Yoshioka Waseda University
09:03 3m Talk		AI Security Continuum: Concept and Challenges Posters Hironori Washizaki Waseda University, Nobukazu Yoshioka Waseda University
09:06 3m Talk		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 3m Talk		Automating Patch Set Generation from Code Reviews Using Large Language Models Posters Md Tajmilur Rahman Gannon University
09:12 3m Talk		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 3m Talk		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 3m Talk		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 3m Talk		Custom Developer GPT for Ethical AI Solutions Posters Lauren Olson Vrije Universiteit Amsterdam Pre-print
09:24 3m Talk		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 3m Talk		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 3m Talk		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 55m Keynote		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

14:00 - 15:30	LLMs and TestingResearch and Experience Papers at Pequeno Auditório Chair(s): Roland Weiss ABB

14:00 15m Talk		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 15m Talk		Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs Research and Experience Papers Ziyu Li University of Sheffield, Donghwan Shin University of Sheffield
14:30 10m Talk		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 10m Talk		(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 10m Talk		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 10m Talk		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 20m Live Q&A		Test - Q&A Session Research and Experience Papers

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 10m Talk		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 10m Talk		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 15m Talk		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 15m Talk		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 15m Talk		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 15m Talk		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 10m Industry talk		Trustworthy AI: Industry-Guided Tooling of the Methods Industry Talks Zakaria Chihani CEA, LIST, France
17:30 15m Live Q&A		System Qualities: Q&A Session Research and Experience Papers
17:45 15m Day closing		Closing Research and Experience Papers Jan Bosch Chalmers University of Technology

Doctoral SymposiumCAIN 2024

Program Display Configuration

Sun 14 AprDisplayed time zone: Lisbon change

Mon 15 AprDisplayed time zone: Lisbon change

Accepted Papers

Submissions

Accepted Talks

Optimizing Data Analytics Workflows through User-driven Experimentation

Software Design Decisions for Greener Machine Learning-based Systems

Continuous Quality Assurance and ML Pipelines under the AI Act

Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach

Threat Modeling of ML-intensive Systems: Research Proposal

Component-based Approach to Software Engineering of Machine Learning-enabled Systems

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

Sun 14 Apr
Displayed time zone: Lisbon change

Mon 15 Apr
Displayed time zone: Lisbon change