Excited to welcome @JanBosch as a keynote speaker at CAIN 2026!
From code generation and continuous deployment to run-time assurance... what does this mean for the future of the field?
📍 Rio de Janeiro, Brazil
📅 April 12–13, 2026
#CAIN2026 #GenerativeAI #SoftwareEngineering
"RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation" is a paper by Lorenz Brehme et al.
All info on this and other #CAIN2026 papers: conf.researchr.org/series/ca…
#AIEngineering #SoftwareEngineering #SE4AI
"Optimising for Energy Efficiency and Performance in Machine Learning" is a #CAIN26 paper by Emile Dos Santos Ferreira, Andrei Paleyes, and Neil D. Lawrence !!
Discover this and other exciting research at CAIN 2026, this April in Brazil. All info: conf.researchr.org/series/ca…
"Distilling Ensemble Intelligence into Explainable Anomaly Detection Models" is a #CAIN2026 paper
Its authors? Ashish Rauniyar, PhD , Erik Johannes Husom, and Sagar Sen !!
We REALLY need this #AIEngineering and #SE4AI research and discussions. All info: conf.researchr.org/series/ca…
Hina Saeeda, Eric Knauss, Mazen Mohamad, and Tommy Johansson authored the paper "Data Annotation Errors in AI-Enabled Perception System Development: A Multi-Organisation Case Study in the Automotive Domain"
It will be presented at #CAIN2026 !!
All info: conf.researchr.org/home/cain…
"Criminal Liability of Generative Artificial Intelligence Providers for User-Generated Child Sexual Abuse Material" a #CAIN26 paper by Anamaria Irmgard Mojica Hanke et al. !!
A much needed discussion!!
#CAIN2026 #AIEngineering
All info: conf.researchr.org/home/cain…
Do you want to know more about "Machine Learning Observability in Practice"?
Joran Leest, Ilias Gerostathopoulos, Patricia Lago, and Claudia Raibulet have something to say!!
Discover this and other exciting research at CAIN 2026, this April in Brazil: conf.researchr.org/series/ca…
"LLMs as Design Partners for AI-Based System Patterns: An Empirical Evaluation" at #CAIN2026
Come and listen to the authors (Felipe Rodrigues de Oliveira et al.)'s take on GenAI teammates!!
All info: conf.researchr.org/series/ca…
Looking forward to @ipekozkaya 's keynote in CAIN 2026 !!
All the info: conf.researchr.org/attending…
Cyber-physical systems increasingly rely on technology such as LLMs... let's hear the authors insights on Cognition Envelopes for Bounded AI Reasoning in Autonomous UAS Operations in #CAIN2026 !!
👁️ All info: conf.researchr.org/track/cai…
So excited about the #CAIN2026 paper "AIBoMGen: Generating an AI Bill of Materials for Secure, Transparent, and Compliant Model Training" by Wiebe Vandendriessche, Jordi Thijsman, Laurens D'hooge, Bruno Volckaert, and Merlijn Sebrechts
We repeat: 💪Secure Transparent Compliant💪
#CAIN2026 is almost here (April 12-13)!!
Spotlight for one of the accepted papers: Agentic AI Architecture for Evaluating and Improving Reinforcement Learning Pipelines by @de_vagelis and @uwe_zdun !
🚨 CAN'T WAIT TO HEAR ABOUT THEIR WORK!!
🔗 All info: conf.researchr.org/track/cai…
Our keynote speaker Renato Cerqueria (Director of PUC-Behring Institute for Artificial Intelligence at PUC-Rio) will tell us all about Engineering Governable Agentic Knowledge Fabrics for Discovery Applications in #CAIN2026 (April 12-13)!
👁️ All info: conf.researchr.org/attending…
⏳ Reminder: CAIN 2026 Poster Track (co-located with ICSE) due Tue 18 Nov 2025!
🔹 Early-stage research & emerging results
🔹 New ideas & ongoing studies
🔹 Challenges in theory & practice in SE4AI
👉 lnkd.in/eYiWYEQY
#CAIN26 #PosterTrack #SE4AI #AIengineering @ICSEconf
With this, we close #CAIN2025! Thanks to all the chairs, and see you next year in Rio de Janeiro!!
And we are done! Thanks to all the speakers and their contributions to the task
We start our last session, on Generative Model Engineering!
The first paper, "DDPT: Diffusion Driven Prompt Tuning for Large Language Model Code Generation" introduces a technique to Optimize prompt embeddings using Gaussian vectors to guide learning.
"LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?"
This experience paper leverages LLMs for generating assurance cases to validate critical non-functional requirements.






















