Edilton Lima dos Santos

Edilton Lima dos Santos is a researcher specializing in adaptive systems and software architecture with active contributions from 2018-2023. His work focuses on runtime analysis of self-adaptive systems through behavioral mapping and architectural smell detection.

His primary research interests include:

• Runtime validation of self-adaptive architectures
• Architectural smell identification in dynamic systems
• Behavioral mapping for system diagnostics
• Dynamic adaptation verification techniques
• Risk assessment in adaptive software configurations

His methodology combines software engineering principles with real-time system behavior analysis to address challenges in adaptive system reliability.

His publication trends reveal concentrated expertise in software architecture validation, with 11 research outputs (including 7 conference contributions and 1 doctoral thesis) between 2018-2023. Key themes include runtime smell detection (40% of publications), behavioral mapping frameworks (30%), and adaptive system validation (30%), demonstrating consistent focus on architectural integrity during system operation.

As a doctoral candidate (thesis completed September 2023), he actively participated in 25 academic activities including 17 conference participations and 10 oral presentations across European venues like VaMoS 2023 and ECSA 2021. His research aligns with UN Sustainable Development Goals through contributions to reliable software systems.