P2 Human-Centric Hybrid-AI for No-Code Development
面向无代码开发的以人为中心混合AI
FSE Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering2025匹配度 3/10 · 论文涉及生成式AI与可解释符号AI通过中间DSL结合，和PL与AI交叉、形式化/可解释性有一定关联；但其核心是无代码开发与流程感知信息系统，不涉及静态分析、Agentic程序、浮点程序分析或贝叶斯程序分析，与用户当前追的问题距离较远。引用 0inbox
This position paper introduces our view on a research agenda around human-centric hybrid-AI for reliable and explainable model-driven software engineering in the field of end-user, no-code development of process-aware information systems. Our key hypothesis is that reliable no-code development of such systems can be provided by using a hybrid-AI approach combining generative AI with explainable symbolic AI models through an intermediate formal, yet human-centric and understandable domain-specific language for the specification of behavioral scenarios.
@inproceedings{paperbot9145,
title = {Human-Centric Hybrid-AI for No-Code Development},
author = {Thiago Rocha Silva and Thomas Troels Hildebrandt},
booktitle = {FSE},
year = {2025},
doi = {10.1145/3696630.3731669}
}