Federico Spinoso
Leveraging LLMs for Automated Technical Documentation of RPA Workflows: A UiPath Case Study.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2026
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Abstract
Technical documentation proves to be crucial in the field of Software Engineering, serving as a key asset during the lifecycle of software in tasks such as maintenance, knowledge transfer, and governance. Despite its long-term importance, such tasks are often deprioritized due to the manual effort and time required. This may lead to nonexistent, incomplete, or outdated manuals that not only could reduce collaboration and clarity, but also possibly introduce operational risk. This problem is particularly relevant in the domain of Robotic Process Automation, where automation projects evolve rapidly and documentation tends to diverge from the actual implementation over time. Inspired by previous work on the subject, this thesis explores the use of LLMs specifically to automate the generation of technical documentation for RPA projects built with UiPath, a widely adopted enterprise platform.
The work presents an end-to-end system that first extracts structured information from project files through deterministic analysis and then uses that information as input for LLM-based generation
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