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

Call for Submissions

We invite submissions of research and experience papers in two categories:

  • Long paper: Long papers are research or experience papers describing research results, case studies, or insights from industry experience. A research or experience full paper is up to 10 pages plus a maximum of 2 pages for references.
  • Short paper: Papers describing new challenges, new research results, visionary ideas, or experiences from, or in cooperation with, practitioners are welcome as short papers. In-progress research with interim results is also appropriate for a short paper. A short paper is up to 5 pages plus a maximum of 1 page for references.

When submitting, authors are asked to classify their papers as either research or experience papers. Please use the following guidance to determine the appropriate category:

  • Research Papers should primarily focus on research contributions, such as addressing a hypothesis, presenting novel methods, or offering theoretical insights. These papers contribute new findings to the field and advance the state of knowledge in software engineering for AI.

  • Experience Papers should emphasize insights from practical application, case studies, or collaboration with industry. These papers highlight lessons learned, real-world implementations, or actionable insights that benefit practitioners and the industry.

If you’re uncertain, consider whether the main contribution is advancing research knowledge (research paper) or practical understanding (experience paper).

The paper submissions will undergo a double-anonymous review process with three independent reviews and a virtual PC discussion. Acceptance criteria include contribution to the field of software engineering for AI, novelty, research and industrial relevance, soundness, and results. The accepted full and short papers will be published in the ICSE Companion proceedings.

If a paper is rejected as a long paper because the reviewers consider that the research is in the early stages or lacking evaluation, the paper will be reevaluated as a short paper. If accepted as a short paper, authors can choose to accept or decline to resubmit as a short paper. On another note, rejected papers may be considered for the poster track – this will depend on the quantity of papers received and if authors agree.

Scope and Topics of Interest

The area of interest for CAIN is Software Engineering for AI — improving the development of AI-based systems throughout the full life cycle. Topics include but are not limited to:

  • System and software requirements and their relationship to AI/ML modeling.
  • Data management ensuring relevance and efficiency related to business goals.
  • System and software architecture for AI-enabled systems.
  • Integration of AI and software development processes into the AI system development life cycle, including continuous integration and deployment, and system and software evolution.
  • Ensuring and managing system and software nonfunctional properties and their relationship to AI/ML properties, including runtime properties such as performance, safety, security, and reliability; and life-cycle properties including reusability, maintainability and evolution.
  • Collaboration, organizational, and management practices for a successful development of AI-enabled systems.
  • Building effective infrastructures to support development of AI systems and components.
  • Further clarifications on the CAIN Scope

Note: Submissions that report strictly on data science or model development without any connection to software engineering and AI-enabled systems will be desk-rejected. As stated earlier, there are many venues for those papers where authors would get much more valuable and relevant feedback.

Submission Form

Research and experience papers should be submitted to HotCrp. The submission deadline is firm, no extensions.

All submissions must adhere to the following requirements:

  • Page limit is 10 pages plus 2 additional pages of references for long papers and 5 pages plus 1 additional page for references for short papers.
  • Submissions must be unpublished original work and should not be under review or submitted elsewhere while being under consideration.
  • By submitting to CAIN, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism and IEEE Plagiarism FAQ. The authors also acknowledge that they conform to the authorship policy of the ACM and the authorship policy of the IEEE.
  • Paper review will employ a double-anonymous review process. Thus, no submission may reveal its authors’ identities. The authors must make every effort to honor the double-anonymous review process. In particular:
    • Authors’ names must be omitted from the submitted paper.
    • All references to the author’s prior work should be in the third person.
    • Authors are encouraged to title their submission differently than preprints of the authors on ArXiV or similar sites. During review, authors should not publicly use the submission title.

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).

Accepted papers will be published in the ICSE 2025 Co-located Event Proceedings and included in the IEEE and ACM Digital Libraries. Authors of accepted papers are required to register and present their accepted paper at the conference in order for the paper to be included in the proceedings and the Digital Libraries.

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 papers receiving a Conditional Accept decision are expected to submit the revised papers with changes marked in a different color, such as using LaTeXdiff. The authors also need to submit an “Author Response” document capturing the authors’ response to each reviewer comment and how those comments were addressed in the revision. This is similar to the “Summary of Changes and Response” document that is typically submitted by authors for a journal paper major revision. The reviewers will check the revised paper against the original paper and the suggested changes. Conditional Accepts will be checked by only one member of the Program Committee, and this will be done in one pass.

Authors of rejected long papers may receive an acceptance as a short paper if the PC chairs and reviewers agree that it better meets the criteria for short papers. In this case, authors may decide to accept or reject the invitation if they would rather submit as a long paper to a different venue.

Similarly, authors of rejected long and short papers relevant to the field of AI Engineering may have their papers sent to a different CAIN track. Also in this case, authors may decide to accept or reject the invitation.

Accepted Papers

Title
Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge
Research and Experience Papers
Pre-print
An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software
Research and Experience Papers
Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications
Research and Experience Papers
Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI
Research and Experience Papers
DDPT: Diffusion Driven Prompt Tuning for Large Language Model Code Generation
Research and Experience Papers
Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)Distinguished paper Award Candidate
Research and Experience Papers
Designing and implementing LLM guardrails components in production environments
Research and Experience Papers
Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Research and Experience Papers
Discussion
Research and Experience Papers

Discussion
Research and Experience Papers

Discussion
Research and Experience Papers

Discussion
Research and Experience Papers

Discussion
Research and Experience Papers

Engineering LLM Powered Multi-agent Framework for Autonomous CloudOpsDistinguished paper Award Candidate
Research and Experience Papers
From Hazard Identification to Control Design: Proactive and AI-Supported Safety Engineering for ML-powered Systems
Research and Experience Papers
Generating and Verifying Synthetic Datasets with Requirements Engineering
Research and Experience Papers
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
Pre-print
ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models
Research and Experience Papers
InsightAI: Root Cause Analysis in Large Hierarchical Log Files with Private Data Using Large Language Models
Research and Experience Papers
Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
Research and Experience Papers
LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?
Research and Experience Papers
LoCoML: A Framework for Real-World ML Inference Pipelines
Research and Experience Papers
MLScent: A tool for Anti-pattern detection in ML projects
Research and Experience Papers
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Research and Experience Papers
Pre-print
Open SC meeting
Research and Experience Papers

RAGProbe: Breaking RAG Pipelines with Evaluation ScenariosDistinguished paper Award Candidate
Research and Experience Papers
Rule-Based Assessment of Reinforcement Learning Practices Using Large Language ModelsDistinguished paper Award Candidate
Research and Experience Papers
Themes of Building LLM-based Applications for Production: A Practitioner's View
Research and Experience Papers
Towards a Domain-Specific Modeling Language for Streamlined Change Management in AI Systems Development
Research and Experience Papers
Towards Continuous Experiment-driven MLOps
Research and Experience Papers
Dates
Sun 27 Apr 2025
Mon 28 Apr 2025
Plenary
Hide plenary sessions

This program is tentative and subject to change.

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Sun 27 Apr

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

07:00 - 19:00
Ready Room SundayICSE Social, Networking and Special Rooms at 209

The Ready Room will be available throughout the week. There will be some tables with computers where people can edit presentations (bring on a USB stick) and upload presentations to the presentation rooms through the Contact 1 website. There will also be AV technicians to help if needed.

You do not need to use the Ready Room: You have several choices: You can upload your presentation from your own computer in advance of your session (days in advance even) at the Contact 1 website (you will be sent a link). Or you can plug your computer in using an HDMI cable when you are starting your presentation. This last option is available but not recommended, since it increases the chance of delays.

There will be some tables and couches in the Ready Room where you can get work done, or have small get-togethers with people.

This room will not be ‘quiet’. If you want a quiet place to work or chill out (library quiet, no talking) then Room 209 will be available much of the time.

The Ready Room will also have some poster boards.

09:00 - 12:30
Child Care Sunday AMICSE Social, Networking and Special Rooms at 102 Child Care

Child Care at ICSE is free, but you must have registered for child care when you registered for the conference.

If you need to add child care to your registration, please contact the registration desk.

09:00 - 10:30
Opening / Keynote 1Research and Experience Papers at 208
Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute
09:00
30m
Day opening
Opening
Research and Experience Papers

09:30
60m
Keynote
Is Prompt Engineering?
Research and Experience Papers
Jeremy Barnes ServiceNow
10:30 - 11:00
10:30
30m
Coffee break
Sunday Morning Break
ICSE Catering

11:00 - 12:30
Engineering AI systems with LLMsResearch and Experience Papers at 208
Chair(s): Justus Bogner Vrije Universiteit Amsterdam
11:00
15m
Talk
Rule-Based Assessment of Reinforcement Learning Practices Using Large Language ModelsDistinguished paper Award Candidate
Research and Experience Papers
Evangelos Ntentos University of Vienna, Stephen John Warnett University of Vienna, Uwe Zdun University of Vienna
11:15
10m
Talk
Designing and implementing LLM guardrails components in production environments
Research and Experience Papers
11:25
15m
Talk
Themes of Building LLM-based Applications for Production: A Practitioner's View
Research and Experience Papers
Alina Mailach Leipzig University, Sebastian Simon Leipzig University, Johannes Dorn Leipzig University, Norbert Siegmund Leipzig University
11:40
15m
Talk
InsightAI: Root Cause Analysis in Large Hierarchical Log Files with Private Data Using Large Language Models
Research and Experience Papers
Maryam Ekhlasi Polytechnique Montreal, Anurag Prakash Ciena, Michel Dagenais Polytechnique Montréal, Maxime Lamothe Polytechnique Montreal
11:55
10m
Talk
Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Research and Experience Papers
Hui Song SINTEF Digital, Arda Goknil SINTEF Digital, Xiaojun Jiang Oslo University Hospital, Espen Melum Oslo University Hospital, Hyunwhan Joe Seoul National University, Caterina Gazzotti University of Modena, Valerio Frascolla Intel, Adela Nedisan Videsjorden SINTEF, Phu Nguyen SINTEF
12:05
25m
Other
Discussion
Research and Experience Papers

12:30 - 14:00
12:30
90m
Lunch
Sunday Lunch
ICSE Catering

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
15m
Talk
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
15m
Talk
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
15m
Talk
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
14:45
10m
Talk
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
10m
Talk
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
25m
Other
Discussion
Research and Experience Papers

15:30 - 16:00
15:30
30m
Break
Sunday Afternoon Break
ICSE Catering

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
16:55
35m
Other
Open SC meeting
Research and Experience Papers

Mon 28 Apr

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

07:00 - 19:00
Ready Room MondayICSE Social, Networking and Special Rooms at 209

The Ready Room will be available throughout the week. There will be some tables with computers where people can edit presentations (bring on a USB stick) and upload presentations to the presentation rooms through the Contact 1 website. There will also be AV technicians to help if needed.

You do not need to use the Ready Room: You have several choices: You can upload your presentation from your own computer in advance of your session (days in advance even) at the Contact 1 website (you will be sent a link). Or you can plug your computer in using an HDMI cable when you are starting your presentation. This last option is available but not recommended, since it increases the chance of delays.

There will be some tables and couches in the Ready Room where you can get work done, or have small get-togethers with people.

This room will not be ‘quiet’. If you want a quiet place to work or chill out (library quiet, no talking) then Room 209 will be available much of the time.

The Ready Room will also have some poster boards.

09:00 - 10:30
09:00 - 10:00
Keynote 2Research and Experience Papers at 208
Chair(s): Henry Muccini University of L'Aquila, Italy
09:00
60m
Keynote
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)
10:00 - 10:30
Lightning talksPosters at 208
Chair(s): Scott Barnett Deakin University, Australia
10:00
3m
Poster
All You Need is an AI Platform: A Proposal for a Complete Reference Architecture
Posters
Benjamin Weigell University of Augsburg, Fabian Stieler University of Augsburg, Bernhard Bauer University of Augsburg
10:03
3m
Poster
Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Posters
Katherine R. Dearstyne University of Notre Dame, Pedro Alarcon Granadeno University of Notre Dame, Theodore Chambers University of Notre Dame, Jane Cleland-Huang University of Notre Dame
10:06
3m
Poster
Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach
Posters
Aftab Hussain Texas A&M University, College Station, Rafiqul Rabin UL Research Institutes, Toufique Ahmed IBM Research, Amin Alipour University of Houston, Bowen Xu North Carolina State University, Stephen Huang University of Houston
Pre-print
10:09
3m
Poster
Navigating the Shift: Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems
Posters
Hadiza Yusuf University of Michigan - Dearborn, Khouloud Gaaloul University of Michigan - Dearborn
10:12
3m
Poster
Random Perturbation Attacks on LLMs for Code Generation
Posters
Qiulu Peng Carnegie Mellon University, Chi Zhang , Ravi Mangal Colorado State University, Corina S. Păsăreanu Carnegie Mellon University; NASA Ames, Limin Jia
10:15
3m
Poster
Safeguarding LLM-Applications: Specify or Train?
Posters
Hala Abdelkader Applied Artificial Intelligence Institute, Deakin University, Mohamed Abdelrazek Deakin University, Australia, Sankhya Singh Deakin University, Irini Logothetis Applied Artificial Intelligence Institute, Deakin University, Priya Rani RMIT University, Rajesh Vasa Deakin University, Australia, Jean-Guy Schneider Monash University
10:18
3m
Poster
Task decomposition and RAG as Design Patterns for LLM-based Systems
Posters
10:30 - 11:00
10:30 - 11:00
10:30
30m
Break
Monday Morning Break
ICSE Catering

11:00 - 12:30
11:00 - 12:30
Trustworthy AI systemsResearch and Experience Papers / Industry Talks at 208
Chair(s): Tim Menzies North Carolina State University
11:00
15m
Talk
ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models
Research and Experience Papers
Sergio Morales Universitat Oberta de Catalunya, Robert Clarisó Universitat Oberta de Catalunya, Jordi Cabot Luxembourg Institute of Science and Technology
11:15
10m
Talk
Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications
Research and Experience Papers
Chandrasekar S IIIT Hyderabad, Vyakhya Gupta IIIT Hyderabad, Prakhar Jain IIIT Hyderabad, Karthik Vaidhyanathan IIIT Hyderabad
11:25
10m
Talk
From Hazard Identification to Control Design: Proactive and AI-Supported Safety Engineering for ML-powered Systems
Research and Experience Papers
Yining Hong Carnegie Mellon University, Christopher Timperley , Christian Kästner Carnegie Mellon University
11:35
15m
Talk
Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI
Research and Experience Papers
Niels With Mikkelsen Jyske Bank, Lasse Pedersen Jyske Bank, Mansoor Hussain Jyske Bank, Victor Foged Deloitte, Ekkart Kindler Technical University of Denmark
11:50
12m
Talk
Is Generated Images Suitable for Weakness Detection?
Industry Talks
Haruki Yokoyama Fujitsu Limited, Fuyuki Ishikawa National Institute of Informatics
12:02
12m
Talk
Challenges in AI Projects for Machinery and Plant Engineering
Industry Talks
Richard Nordsiek XITASO GmbH IT & Software Solutions, Jan-Philipp Steghöfer XITASO GmbH IT & Software Solutions, Manish Bhandari XITASO GmbH IT and Software Solutions
12:14
16m
Other
Discussion
Research and Experience Papers

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
12:30 - 13:00
12:30 - 14:00
12:30
90m
Lunch
Monday Lunch
ICSE Catering

14:00 - 15:30
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
10m
Talk
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
15m
Talk
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
15m
Talk
MLScent: A tool for Anti-pattern detection in ML projects
Research and Experience Papers
Karthik Shivashankar University of Oslo, Antonio Martini University of Oslo
14:40
15m
Talk
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
15m
Talk
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)
15:10
10m
Talk
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
10m
Other
Discussion
Research and Experience Papers

15:30 - 16:00
15:30
30m
Break
Monday Afternoon Break
ICSE Catering

16:00 - 17:30
16:00 - 17:30
Generative Model EngineeringResearch and Experience Papers / Industry Talks at 208
16:00
15m
Talk
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
15m
Talk
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
15m
Talk
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
16:45
15m
Talk
LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?
Research and Experience Papers
Oluwafemi Odu York University, Alvine Boaye Belle York University, Song Wang York University
17:00
12m
Talk
SqPal - text to SQL GenAI tool for PayPal
Industry Talks
Dan Liyanage PayPal, Mahshid Moha PayPal, Sandy Suresh PayPal
17:12
18m
Other
Discussion
Research and Experience Papers

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

Long Papers

Rule-Based Assessment of Reinforcement Learning Practices Using Large Language Models

Evangelos Ntentos, Stephen John Warnett, Uwe Zdun

DDPT: Diffusion Driven Prompt Tuning for Large Language Model Code Generation

Authors: Jinyang Li, Sangwon Hyun, M. Ali Babar

Themes of Building LLM-based Applications for Production: A Practitioner’s View

Authors: Alina Mailach ; Sebastian Simon; Johannes Dorn, Norbert Siegmund

An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software

Authors: Hamed Barzamini, Fatemeh Nazaritiji, Annalise Brockmann ; Hasan Ferdowsi; Mona Rahimi

How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration

Authors: Shreyas Kumar Parida; Ilias Gerostathopoulos, Justus Bogner

ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models

Authors: Sergio Morales, Robert Clarisó; Jordi Cabot

MLScent: A tool for Anti-pattern detection in ML projects

Authors: Karthik Shivashankar, Antonio Martini

Generating and Verifying Synthetic Datasets with Requirements Engineering

Authors: Lynn Vonderhaar, Timothy Elvira, Omar Ochoa

RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios

Authors: Shangeetha Sivasothy, Scott Barnett, Stefanus Kurniawan, Zafaryab Rasool, Rajesh Vasa

On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content

Authors: Vince Nguyen, Hieu Huynh, Vidya Dhopate, Anusha Annengala, Hiba Bouhlal; Gian Luca Scoccia; Matias Martinez; Vincenzo Stoico; Ivano Malavolta

Debugging and Runtime Analysis of Neural Networks with VLMs

Authors: Boyue Caroline Hu; Divya Gopinath; Ravi Mangal; Nina Narodytska; Corina Pasareanu; Susmit Jha

Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI

Authors: Niels With Mikkelsen, Lasse Pedersen, Mansoor Hussain; Victor Foged; Ekkart Kindler

InsightAI: Root Cause Analysis in Large Hierarchical Log Files with Private Data Using Large Language Models

Authors: Maryam Ekhlasi; Anurag Prakash; Michel Dagenais; Maxime Lamothe

Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems

Authors: Rodrigo Ximenes, Antonio Pedro Santos Alves, Tatiana Escovedo; Rodrigo Spinola; Marcos Kalinowski

Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps

Authors: Kannan Parthasarathy; Karthik Vaidhyanathan, Rudra Dhar; Venkat Krishnamachari; Adyansh Kakran; Sreemaee Akshathala, Shrikara Arun, Amey Karan ; Basil Muhammed, Sumant Dubey, Mohan Veerubhotla

LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?

Authors: Oluwafemi Odu, Alvine B. Belle, Song Wang

Short Papers

Designing and implementing LLM guardrails components in production environments

Authors: Mateus Devino, Evaline Ju, Paulo Marques Caldeira Junior

Towards a Domain-Specific Modeling Language for Streamlined Change Management in AI Systems Development

Authors: Razan abualsaud

Approach Towards Semi-Automated Certification of Low Criticality ML-Enabled Airborne Applications

Authors: Chandrasekar Sridhar, Vyakhya Gupta, Prakhar Jain, Karthik Vaidhyanathan

From Hazard Identification to Control Design: Proactive and AI-Supported Safety Engineering for ML-powered Systems

Authors: Yining Hong, Christopher Timperley, Christian Kaestner

Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming

Authors: Hui Song, Arda Goknil; Xiaojun Jiang, Espen Melum; Hyunwhan Joe; Caterina Gazzotti; Valerio Frascolla; Adela Nedisan Videsjorden, Phu Nguyen

LoCoML: A Framework for Real-World ML Inference Pipelines

Authors: Kritin Maddireddy, Santhosh Kotekal Methukula, Chandrasekar Sridhar, Karthik Vaidhyanathan

Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge

Authors: Santiago del Rey, Adrià Medina; Xavier Franch; Silverio Martínez-Fernández

Towards Continuous Experiment-driven MLOps

Authors: Keerthiga Rajenthiram; Milad Abdullah; Ilias Gerostathopoulos; Petr Hnetynka, Tomas Bures; Gerard Pons, Besim Bilalli, Anna Queralt

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