Call for Posters
In addition to full technical papers, CAIN 2025 provides the opportunity to submit posters which can be included in the proceedings as two-page extended abstracts. New ideas, starting work and results, or presentation of challenges in theory in practice, related to the scope and topics of CAIN 2025, are welcome. Also, full papers that are not accepted as Research and Experience Papers, but are of interest for the AI engineering community, will be invited to submit to this track.
Accepted Papers
Submission
Poster authors need to submit a 2-page extended abstract that should adhere to the ICSE 2025 Conference Proceedings Formatting Guidelines. The 2-page extended abstract of each accepted poster will be published in the CAIN’25 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.
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).
Abstracts must be submitted electronically at the submission site by the submission deadline. A submission will be desk rejected if it does not comply with the instructions and size limits. At least one author of each accepted extended abstract is required to register for the CAIN 2025 conference and to present the poster. Each accepted poster will be presented by its authors during the 2 days of CAIN conference.
All submissions must be uploaded here: https://icse2025-cain-poster.hotcrp.com/
This program is tentative and subject to change.
Mon 28 AprDisplayed time zone: Eastern Time (US & Canada) change
List of Accepted Posters
All You Need is an AI Platform: A Proposal for a Complete Reference Architecture
Benjamin Weigell, Fabian Stieler, Bernhard Bauer
Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Katherine R. Dearstyne, Pedro Antonio Alarcon Granadeno, Theodore Chambers, Jane Cleland-Huang
Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach
Aftab Hussain, Md Rafiqul Islam Rabin, Toufique Ahmed, Amin Alipour, Bowen Xu, Stephen Huang
Navigating the Shift: Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems
Hadiza Yusuf, Khouloud Gaaloul
Random Perturbation Attacks on LLMs for Code Generation
Authors: Qiulu Peng, Chi Zhang, Ravi Mangal, Corina Pasareanu, Limin Jia
Safeguarding LLM-Applications: Specify or Train?
Hala Abdelkader, Mohamed Abdelrazek, Sankhya Singh, Irini Logothetis, Priya Rani, Rajesh Vasa, Jean-Guy Schneider
Task decomposition and RAG as Design Patterns for LLM-based Systems
Orlando Marquez Ayala