Requirements Analysis of a High-Precision Search Function for Reusable RPA Bot Development

Robotic Process Automation (RPA) is a technology that uses software robots to mimic and automate human operations performed on computers. By utilizing RPA bots—automation scripts designed for RPA—it is possible to streamline repetitive tasks, reduce work time, and prevent errors. In RPA bot development, the concept of “reusable development” is particularly effective. However, existing RPA platforms face a challenge: when reusing bots, it is often difficult to quickly identify the most suitable bot for a given purpose. This study aims to analyze the requirements for a high-precision search function that facilitates the utilization and reusable development of RPA bots. Through investigation and analysis of RPA bots, we identified that categorizing RPA bots based on their processing functions and leveraging these categories for search purposes is an effective approach. Specifically, we classified bots into categories such as “Application Integration” and “Data Transformation” and conducted a detailed examination of each category. Based on these findings, the study introduces a search method that incorporates category classification according to the processing content of the RPA bots. This method is expected to support the promotion of reusable development of RPA bots.