Papers
2
Total Citations
26
H-Index
1
About
Shiang-Jiun Chen is a leading researcher in Robotic Process Automation (RPA) and test automation, whose work bridges the gap between theoretical frameworks and practical software engineering tools. Chen’s most influential contribution is the 2019 study “System Design and Development for Robotic Process Automation,” which has garnered 25 citations and established a foundational architecture for automating complex, repetitive tasks with reduced error rates. This work positions RPA as a transformative tool akin to cloud computing in its capacity for real-time processing. More recently, in 2024, Chen introduced an innovative automation tool that converts test steps into keywords for Robot Framework, a widely adopted Python-based test automation system. This contribution enhances the readability and extensibility of acceptance test-driven development (ATDD), making it more accessible to practitioners. Chen’s research is characterized by a focus on practical, scalable solutions that improve software quality and operational efficiency. By advancing both RPA and keyword-driven testing, Chen has made a tangible impact on how organizations streamline workflows and ensure software reliability, earning recognition as a key innovator in the automation domain.
Research Focus
Key Achievements
Top Papers
- 1System Design and Development for Robotic Process Automation25 citations · 2019
- 2