## 7 Conclusions  
This study highlights the significant impact of integrating Requirements Engineering (RE) and DevOps practices into the development of Robotic Process Automation (RPA) systems. By adopting a structured approach to requirement elicitation and management, alongside ensuring continuous integration and delivery, organizations can streamline the RPA development process while enhancing both operational efficiency and user experience. The emphasis on human-computer interaction (HCI) in RPA system development is fundamental to ensuring that these systems are not only efficient in automating processes but also user-friendly and intuitive, thereby improving overall satisfaction and user adoption. The combination of RE, DevOps, and HCI establishes a robust framework for delivering high-quality, sustainable RPA solutions that align closely with end-user needs and expectations. The study fully addressed the central research question and both proposed hypotheses. The research demonstrated how the integration of RE and DevOps can optimize the development of RPA systems, directly answering the central question by evidencing improvements in operational efficiency and user experience. Hypothesis H1 was confirmed by the reduction in development cycles and greater predictability and reliability in the delivery of automated solutions, ensuring the continuous and iterative implementation of functionalities. Furthermore, Hypothesis H2 was addressed by demonstrating that the combination of RE and DevOps improves the user experience by creating more intuitive and easy-to-use RPA systems. The user experience was evaluated from the perspective of interaction with the RPA system, considering factors such as usability, interface fluidity and adaptation of the system to operational needs. Although the same CRM was used before and after the implementation of FRIDA, the introduction of the RE + DevOps framework promoted significant improvements in human-computer interaction. Reducing inconsistencies in automation flows, refining requirements capture, and continuous integration resulted in a more fluid and productive experience for users. Furthermore, the qualitative analysis based on feedback from professionals who interact with the system reinforces that the adoption of this methodology improved users' perception of the ease of use and effectiveness of automated solutions. Therefore, both the central research question and H1 and H2 were consistently addressed within the case study, with evidence supporting improved operational efficiency and user experience in the context of RPA systems. Despite the promising findings of this study, several limitations must be considered. Firstly, the case study focused on a specific organization, and the results may not be fully generalizable across all industries or contexts. The success of integrating RE, DevOps, and HCI into RPA projects may vary depending on organizational size, the complexity of automated processes, and the expertise of the development and operations teams involved. Furthermore, the study primarily examined the initial implementation phase of the framework, with limited exploration of its application over time. Future research could investigate the long-term effectiveness and adaptability of the proposed framework in dynamic environments where business requirements and technological capabilities are continuously evolving. To strengthen the analysis of the proposed framework's efficacy, future studies should incorporate user-centered evaluation techniques, such as usability testing and cognitive workload analysis. These methodologies would enable the objective assessment of the impact of integrating RE and DevOps on user experience in RPA systems. Usability testing could provide valuable insights into the intuitiveness and ease of use of automated solutions, while cognitive workload analysis could assess the mental effort required for system interaction.