CAIN 2025
Sun 27 - Mon 28 April 2025 Ottawa, Ontario, Canada
co-located with ICSE 2025

This year, CAIN will again 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.

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. The letter and submission describing the student’s research should be uploaded to Hotcrp.

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 above, as well as:

  • a description of the results achieved so far, and
  • the planned timeline for completion Submissions must conform to the IEEE conference proceedings template, specified in the IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt type, LaTeX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf options).

Note on Scope: Submissions that report strictly on data science or model development without any connection to software engineering and AI-enabled systems will be desk-rejected. There are many venues for those papers where authors would get much more valuable and relevant feedback. Additional information on CAIN scope can be found here.

Accepted submissions will be presented at the main conference via a poster and/or short presentation, depending on availability. We will host a dedicated session for students with accepted submissions to give a more detailed presentation and receive expert feedback. The submissions may, at the review committee’s discretion, be published in the CAIN 2025 proceedings. The official publication date is the date the proceedings are made available in the ACM or IEEE Digital Libraries. This date may be up to two weeks prior to the first day of ICSE 2025. The official publication date affects the deadline for any patent filings related to published work. Purchase of additional pages in the proceedings is not allowed.

Authors of all accepted submissions are required to register for the CAIN 2025 conference.

Accepted Papers

Title
A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems
Doctoral Symposium
Architectures to Embrace Change for Trustworthy AI-based Systems
Doctoral Symposium
Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering.
Doctoral Symposium
CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems
Doctoral Symposium
Designing ML-Enabled Software Systems with ML Model Composition: A Green AI Perspective
Doctoral Symposium
Identification and Optimization of Redundant Code Using Large Language Models
Doctoral Symposium
Model-Based Verification for AI-Enabled Cyber-Physical Systems through Guided Falsification of Temporal Logic Properties
Doctoral Symposium
Optimizing Data Analytics Workflows through User-driven Experimentation: Progress and Updates
Doctoral Symposium
Systematic Testing of Security-Related Defects in LLM-Based Applications
Doctoral Symposium
Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering
Doctoral Symposium
Towards a Privacy-by-Design Framework for ML-Enabled Systems
Doctoral Symposium
Dates
Sun 27 Apr 2025
Mon 28 Apr 2025
Tracks
CAIN Doctoral Symposium
CAIN Industry Talks
CAIN Posters
CAIN Research and Experience Papers

This program is tentative and subject to change.

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Sun 27 Apr

Displayed time zone: Eastern Time (US & Canada) change

16:00 - 17:30
Doctoral Symposium TalksDoctoral Symposium / Research and Experience Papers at 208
Chair(s): Jennifer Horkoff Chalmers and the University of Gothenburg
16:00
5m
Talk
Optimizing Data Analytics Workflows through User-driven Experimentation: Progress and Updates
Doctoral Symposium
Keerthiga Rajenthiram Vrije Universiteit Amsterdam
16:05
5m
Talk
CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems
Doctoral Symposium
Aidin Azamnouri Technical University of Munich
16:10
5m
Talk
Towards a Privacy-by-Design Framework for ML-Enabled Systems
Doctoral Symposium
Yorick Sens Ruhr University Bochum
16:15
5m
Talk
Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering
Doctoral Symposium
Marvin Muñoz Barón University of Stuttgart
16:20
5m
Talk
Architectures to Embrace Change for Trustworthy AI-based Systems
Doctoral Symposium
Merel Veracx Fontys University of Applied Sciences
16:25
5m
Talk
Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering.
Doctoral Symposium
Joshua Segun Owotogbe JADS/Tilburg University
16:30
5m
Talk
Designing ML-Enabled Software Systems with ML Model Composition: A Green AI Perspective
Doctoral Symposium
Rumbidzai Chitakunye Vrije Universiteit Amsterdam
16:35
5m
Talk
A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems
Doctoral Symposium
Renato Cordeiro Ferreira University of São Paulo
16:40
5m
Talk
Identification and Optimization of Redundant Code Using Large Language Models
Doctoral Symposium
Shamse Tasnim Cynthia University of Saskatchewan
16:45
5m
Talk
Systematic Testing of Security-Related Defects in LLM-Based Applications
Doctoral Symposium
Hasan Kaplan Jheronimus Academy of Data Science, Tilburg University
16:50
5m
Talk
Model-Based Verification for AI-Enabled Cyber-Physical Systems through Guided Falsification of Temporal Logic Properties
Doctoral Symposium
Hadiza Yusuf University of Michigan - Dearborn

Mon 28 Apr

Displayed time zone: Eastern Time (US & Canada) change

11:00 - 12:30
Doctoral Symposium 1 (Detailed Presentation)Doctoral Symposium at 212
11:00
20m
Talk
Optimizing Data Analytics Workflows through User-driven Experimentation: Progress and Updates
Doctoral Symposium
Keerthiga Rajenthiram Vrije Universiteit Amsterdam
11:20
20m
Talk
CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems
Doctoral Symposium
Aidin Azamnouri Technical University of Munich
11:40
20m
Talk
Towards a Privacy-by-Design Framework for ML-Enabled Systems
Doctoral Symposium
Yorick Sens Ruhr University Bochum
12:00
20m
Talk
Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering
Doctoral Symposium
Marvin Muñoz Barón University of Stuttgart
16:00 - 17:30
Doctoral Symposium 3 (Detailed Presentation)Doctoral Symposium at 212
16:00
20m
Talk
Identification and Optimization of Redundant Code Using Large Language Models
Doctoral Symposium
Shamse Tasnim Cynthia University of Saskatchewan
16:20
20m
Talk
Systematic Testing of Security-Related Defects in LLM-Based Applications
Doctoral Symposium
Hasan Kaplan Jheronimus Academy of Data Science, Tilburg University
16:40
20m
Talk
Model-Based Verification for AI-Enabled Cyber-Physical Systems through Guided Falsification of Temporal Logic Properties
Doctoral Symposium
Hadiza Yusuf University of Michigan - Dearborn
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