posted by user: AloisZoitl || 1143 views || tracked by 1 users: [display]

LCMDEPS 2021 : Special Session for Low-Code and Model-Driven Engineering for Production Systems

FacebookTwitterLinkedInGoogle

Link: https://www.apms-conference.org/apms-2021/program/special-sessions-tracks-proposal/
 
When Sep 5, 2021 - Sep 9, 2021
Where Nantes
Submission Deadline Mar 22, 2021
Categories    low-code   MDE   platform-as-a-service
 

Call For Papers

Low-code development platforms combine model-driven engineering, platform-as-a-service architectures, and machine learning, to shift software-production tasks from software engineers to domain experts. The major market analysis firms have highlighted the current impressive investments by vendors and customers in low-code for business applications, and consider digital transformation in manufacturing as the next promising ground for these solutions. This session will illustrate applications and needs of low-code in production systems. We invite researchers and practitioners in low-code and related topics such as model-driven engineering and AI-assisted software engineering, to demonstrate new concepts, methods, and applications to low-code development for production systems.

Related Resources

MODELSWARD 2025   13th International Conference on Model-Based Software and Systems Engineering
SAM 2025   System Analysis and Modelling conference
AIDAOS 2025   1st Workshop on AI-Enhanced DAO Security
LLM4SE 2025   1st Workshop on Large Language Models for Generative Software Engineering
SI: Model-Driven Performance Engg in CPS 2025   IET CPS Theory & Applications, Special Issue: Model-Driven System-Performance Engineering for CPS
MDE4SA 2025   International Workshop on Model-Driven Engineering for Software Architecture
ACM SAC 2025   40th ACM/SIGAPP Symposium On Applied Computing
CAV 2025   37th International Conference on Computer Aided Verification
CIFEr 2026   IEEE Computational Intelligence in Financial Engineering and Economics
IARCE 2025   2025 5th International Conference on Industrial Automation, Robotics and Control Engineering