## 3 Methodology
### Method
By applying the PICO methodology, it will be possible to formulate solid hypotheses and conduct a grounded analysis, based on concrete data, that will validate the effectiveness of this approach in the context of process automation and systems development. The methodology adopted for this study involved the thorough analysis of relevant sources and the application of the PICO approach for the selection of articles, with strict inclusion and exclusion criteria. The selection of articles was based on a detailed bibliographic search and the careful screening of titles and abstracts, prioritizing studies that address the integration of RPA, RE, DevOps, and human-computer interaction. Articles that did not meet the relevance criteria were discarded, resulting in a final selection of significant studies for the research. Data collection was carried out from reputable scientific databases, such as the \"B-on\" platform, ensuring that the selected sources were reliable and up to date [28]. The application of the PICO methodology provides a robust framework for organizing the analysis of the collected data, demonstrating the clear connection between the hypotheses formulated and the evidence found in the literature [28]. Thus, the approach facilitates the interpretation of results and the development of an effective framework for integrating RE and DevOps in RPA projects, with a particular focus on optimizing human interaction with automated systems. The inclusion criteria adopted for this study were as follows:  
* Articles that directly discuss the implementation or evaluation of RPA and RE and DevOps practices in process automation, focusing on optimizing human-computer interaction. * Studies conducted between 2010 and 2025, ensuring the relevance and timeliness of the practices and technologies discussed. * Articles published in peer-reviewed scientific journals and available in full text. The following types of publications were excluded:* Articles that do not directly address the implementation of RPA, RE, and DevOps or human-computer interaction, or that focus on areas unrelated to process automation. * Works that do not significantly discuss aspects of optimizing human-computer interaction in RPA systems or that do not address integration with RE and/or DevOps practices. * Publications that are inaccessible in full text or with restricted access. * Studies that are not based on empirical methodologies or that do not present clear and consistent data on the impacts of integrating RPA, RE, DevOps, and HCI on the development and operation of automated systems. This rigorous selection process ensured that the analysis was based on high-quality sources directly relevant to the study of integrating RPA, RE, DevOps, and HCI in the development of automated systems, with a focus on optimizing the user experience and improving operational efficiency. The central research question and the hypotheses that guided this study were formulated as follows:  
Central research question (CRQ)  
**CRQ. **: _Information obtained from the user's participation in the human-computer interaction (HCI) process can be readily adapted to functional requirements during the development of Robotic Process Automation (RPA) systems._  
Hypotheses (H)
**H1. **: _The integration of RE and DevOps practices improves operational efficiency in the development of RPA systems, reducing development cycle time and enhancing the continuous delivery of automation solutions._
**H2. **: _The combination of RE and DevOps, with a focus on human-computer interaction, results in more intuitive and user-friendly RPA systems, improving user experience and the adoption of automated solutions._  
This study aims to provide an in-depth understanding of how integrating RE and DevOps practices can optimize RPA system development, improve human-computer interaction, and increase operational efficiency within organizations.