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
Sun 27 AprDisplayed time zone: Eastern Time (US & Canada) change
09:00 - 10:30 | Opening / Keynote 1Research and Experience Papers at 208 Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute | ||
09:00 30mDay opening | Opening Research and Experience Papers | ||
09:30 60mKeynote | Is Prompt Engineering? Research and Experience Papers Jeremy Barnes ServiceNow | ||
14:00 - 15:30 | Architecting and Testing AI SystemsResearch and Experience Papers at 208 Chair(s): Jan-Philipp Steghöfer XITASO GmbH IT & Software Solutions | ||
14:00 15mTalk | How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model IntegrationDistinguished paper Award Candidate Research and Experience Papers Shreyas Kumar Parida ETH Zurich, Ilias Gerostathopoulos Vrije Universiteit Amsterdam, Justus Bogner Vrije Universiteit Amsterdam Pre-print | ||
14:15 15mTalk | RAGProbe: Breaking RAG Pipelines with Evaluation ScenariosDistinguished paper Award Candidate Research and Experience Papers Shangeetha Sivasothy Applied Artificial Intelligence Institute, Deakin University, Scott Barnett Deakin University, Australia, Stefanus Kurniawan Deakin University, Zafaryab Rasool Applied Artificial Intelligence Institute, Deakin University, Rajesh Vasa Deakin University, Australia | ||
14:30 15mTalk | On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content Research and Experience Papers Vince Nguyen Vrije Universiteit Amsterdam, Hieu Huynh Vrije Universiteit Amsterdam, Vidya Dhopate Vrije Universiteit Amsterdam, Anusha Annengala Vrije Universiteit Amsterdam, Hiba Bouhlal Vrije Universiteit Amsterdam, Gian Luca Scoccia Gran Sasso Science Institute, Matias Martinez Universitat Politècnica de Catalunya (UPC), Vincenzo Stoico Vrije Universiteit Amsterdam, Ivano Malavolta Vrije Universiteit Amsterdam Pre-print Media Attached | ||
14:45 10mTalk | LoCoML: A Framework for Real-World ML Inference Pipelines Research and Experience Papers Kritin Maddireddy IIIT Hyderabad, Santhosh Kotekal Methukula IIIT Hyderabad, Chandrasekar S IIIT Hyderabad, Karthik Vaidhyanathan IIIT Hyderabad | ||
14:55 10mTalk | Towards Continuous Experiment-driven MLOps Research and Experience Papers Keerthiga Rajenthiram Vrije Universiteit Amsterdam, Milad Abdullah Charles University, Ilias Gerostathopoulos Vrije Universiteit Amsterdam, Petr Hnětynka Charles University, Tomas Bures Charles University, Czech Republic, Gerard Pons Universitat Politècnica de Catalunya, Barcelona, Spain, Besim Bilalli Universitat Politècnica de Catalunya, Barcelona, Spain, Anna Queralt Universitat Politècnica de Catalunya, Barcelona, Spain | ||
15:05 25mOther | Discussion Research and Experience Papers | ||
Mon 28 AprDisplayed time zone: Eastern Time (US & Canada) change
09:00 - 10:00 | Keynote 2Research and Experience Papers at 208 Chair(s): Henry Muccini University of L'Aquila, Italy | ||
09:00 60mKeynote | Beyond Machine Learning and Foundation Models: A Research Roadmap for Multi-Paradigm AI Engineering Research and Experience Papers Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio) | ||
10:30 - 11:00 | |||
11:00 - 12:30 | Doctoral Symposium 1 (Detailed Presentation)Doctoral Symposium / Research and Experience Papers at 212 | ||
11:00 20mTalk | Optimizing Data Analytics Workflows through User-driven Experimentation: Progress and Updates Doctoral Symposium Keerthiga Rajenthiram Vrije Universiteit Amsterdam | ||
11:20 20mTalk | CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems Doctoral Symposium Aidin Azamnouri Technical University of Munich | ||
11:40 20mTalk | Towards a Privacy-by-Design Framework for ML-Enabled Systems Doctoral Symposium Yorick Sens Ruhr University Bochum | ||
12:00 20mTalk | Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering Doctoral Symposium Marvin Muñoz Barón Technical University of Munich | ||
12:30 - 13:00 | |||
14:00 - 15:30 | Quality Assurance for AI systemsResearch and Experience Papers at 208 Chair(s): Eduardo Santana de Almeida Federal University of Bahia | ||
14:00 10mTalk | Towards a Domain-Specific Modeling Language for Streamlined Change Management in AI Systems Development Research and Experience Papers Razan Abualsaud IRIT, CNRS, Toulouse | ||
14:10 15mTalk | An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software Research and Experience Papers Hamed Barzamini , Fatemeh Nazaritiji Northern Illinois University, Annalise Brockmann Northern Illinois University, Hasan Ferdowsi Northern Illinois university, Mona Rahimi Northern Illinois University | ||
14:25 15mTalk | MLScent: A tool for Anti-pattern detection in ML projects Research and Experience Papers | ||
14:40 15mTalk | Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)Distinguished paper Award Candidate Research and Experience Papers Boyue Caroline Hu University of Toronto, Divya Gopinath KBR; NASA Ames, Ravi Mangal Colorado State University, Nina Narodytska VMware Research, Corina S. Păsăreanu Carnegie Mellon University, Susmit Jha SRI | ||
14:55 15mTalk | Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems Research and Experience Papers Rodrigo Ximenes Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Antonio Pedro Santos Alves Pontifical Catholic University of Rio de Janeiro, Tatiana Escovedo Pontifical Catholic University of Rio de Janeiro, Rodrigo Spinola Virginia Commonwealth University, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Pre-print | ||
15:10 10mTalk | Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge Research and Experience Papers Santiago del Rey Universitat Politècnica De Catalunya - Barcelona Tech, Adrià Medina Universitat Politècnica de Barcelona - BarcelonaTech (UPC), Xavier Franch Universitat Politècnica de Catalunya, Silverio Martínez-Fernández UPC-BarcelonaTech Pre-print | ||
15:20 10mOther | Discussion Research and Experience Papers | ||
14:00 - 15:30 | Doctoral Symposium 2 (Detailed Presentation)Doctoral Symposium / Research and Experience Papers at 212 | ||
14:00 20mTalk | A Holistic Framework for Evolving AI-based Systems Doctoral Symposium Merel Veracx Fontys University of Applied Sciences | ||
14:20 20mTalk | Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering. Doctoral Symposium Joshua Segun Owotogbe JADS/Tilburg University | ||
14:40 20mTalk | Designing ML-Enabled Software Systems with ML Model Composition: A Green AI Perspective Doctoral Symposium Rumbidzai Chitakunye Vrije Universiteit Amsterdam | ||
15:00 20mTalk | A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Doctoral Symposium Renato Cordeiro Ferreira University of São Paulo | ||
16:00 - 17:30 | Generative Model EngineeringResearch and Experience Papers / Industry Talks at 208 Chair(s): Manel Abdellatif École de Technologie Supérieure | ||
16:00 15mTalk | DDPT: Diffusion Driven Prompt Tuning for Large Language Model Code Generation Research and Experience Papers Jinyang Li The University of Adelaide, Sangwon Hyun CREST, University of Adelaide, Muhammad Ali Babar School of Computer Science, The University of Adelaide | ||
16:15 15mTalk | Engineering LLM Powered Multi-agent Framework for Autonomous CloudOpsDistinguished paper Award Candidate Research and Experience Papers Kannan Parthasarathy MontyCloud, Karthik Vaidhyanathan IIIT Hyderabad, Rudra Dhar SERC, IIIT Hyderabad, India, Venkat Krishnamachari MontyCloud, Adyansh Kakran International Institute of Information Technology, Hyderabad, Sreemaee Akshathala IIIT Hyderabad, Shrikara Arun IIIT Hyderabad, Amey Karan IIIT Hyderabad, Basil Muhammed MontyCloud, Sumant Dubey MontyCloud, Mohan Veerubhotla MontyCloud | ||
16:30 15mTalk | Generating and Verifying Synthetic Datasets with Requirements Engineering Research and Experience Papers Lynn Vonderhaar Embry-Riddle Aeronautical University, Timothy Elvira Embry-Riddle Aeronautical University, Omar Ochoa Embry-Riddle Aeronautical University Pre-print | ||
16:45 15mTalk | LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet? Research and Experience Papers | ||
17:00 12mTalk | SqPal - text to SQL GenAI tool for PayPal Industry Talks | ||
17:12 18mOther | Discussion Research and Experience Papers | ||
16:00 - 17:30 | Doctoral Symposium 3 (Detailed Presentation)Doctoral Symposium / Research and Experience Papers at 212 | ||
16:00 20mTalk | Identification and Optimization of Redundant Code Using Large Language Models Doctoral Symposium Shamse Tasnim Cynthia University of Saskatchewan | ||
16:20 20mTalk | Systematic Testing of Security-Related Defects in LLM-Based Applications Doctoral Symposium Hasan Kaplan Jheronimus Academy of Data Science, Tilburg University | ||
16:40 20mTalk | Model-Based Verification for AI-Enabled Cyber-Physical Systems through Guided Falsification of Temporal Logic Properties Doctoral Symposium Hadiza Yusuf University of Michigan - Dearborn | ||
17:30 - 17:45 | |||
17:30 15mTalk | Closing Research and Experience Papers | ||
Accepted Talks
Designing ML-Enabled Software Systems with ML Model Composition: A Green AI Perspective
Author: R. Chitakunye
Model-Based Verification for AI-Enabled Cyber-Physical Systems through Guided Falsification of Temporal Logic Properties
Author: H. Yusuf
Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering
Author: M. Muñoz Barón
CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems
Author: A. Azamnouri
Systematic Testing of Security-Related Defects in LLM-Based Applications
Author: H. Kaplan
Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering.
Author: J. Owotogbe
Architectures to Embrace Change for Trustworthy AI-based Systems
Author: M. Veracx
Towards a Privacy-by-Design Framework for ML-Enabled Systems
Author: Y. Sens
A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems
Author: R. Ferreira
Identification and Optimization of Redundant Code Using Large Language Models
Author: S. Cynthia
Optimizing Data Analytics Workflows through User-driven Experimentation: Progress and Updates
Author: K. Rajenthiram