## 3 Methodology
### Method
By adopting these practices, the study seeks to demonstrate the benefits in terms of cost reduction, software quality improvement, and greater end-user satisfaction. The two hypotheses presented support the idea that combining RE and DevOps practices in RPA system development brings operational benefits and enhances user experience. The first hypothesis (H1) suggests that integrating RE and DevOps into the RPA development lifecycle leads to more agile and efficient processes, reducing development time and ensuring the continuous delivery of high-quality automation. This improvement in the development process can optimize operational efficiency, lowering costs and enhancing system resilience. The second hypothesis (H2) proposes that focusing on human-computer interaction, alongside the application of RE and DevOps practices, creates more user-friendly and intuitive RPA solutions. This improves user adoption and contributes to a better user experience, a critical factor in the success of automated solutions. Furthermore, by ensuring that the systems better meet user needs, this model can optimize human resources, allowing professionals to focus on higher-value strategic tasks while enhancing operational efficiency and overall satisfaction. To address the central research question of this study, the researchers utilized the online scientific library provided by the Foundation for Science and Technology, focusing on four specific groups (Group 1, Group 2, Group 3, and Group 4), as detailed in Table 2.  
The investigation was conducted using the \"B-on\" platform, employing the OR operator to connect either the title, keywords (KWs), or abstract (AB) within the three designated groups. Organizing keywords into separate sets, grouped according to their theme and composed of synonyms, is an extremely effective approach to optimizing the search for articles on scientific platforms and databases. This structuring allows each set to represent a specific concept, ensuring that the research covers all possible linguistic and terminological variations of the same term, including different synonyms, plurals and morphological variations. When these sets of keywords are combined in the search using the Boolean operator \"AND\", it ensures that only articles that address all the fundamental concepts are retrieved, providing highly relevant and accurate results. This significantly reduces the number of irrelevant documents, as it avoids retrieving articles that only mention part of the topic without addressing the entire subject of interest. Furthermore, this methodology increases the effectiveness of research by improving the accuracy of results, allowing researchers to find studies that truly match their objective more quickly and assertively. Thus, instead of obtaining thousands of scattered and often disconnected articles, the researcher accesses a more restricted but highly qualified set, optimizing their time and facilitating the analysis of the available data. Subsequently, filters were applied to the collection of publications gathered during the research process, and the findings, in terms of the total number of publications, are outlined in Table 3.  
After applying the filters, the titles, keywords, and abstracts of each paper were reviewed to select those most relevant to the research topic. Initially, 875 articles were retrieved. After the filters were applied, 284 remained, of which only 15 were directly related to the study's focus. Figure 1 presents a flowchart describing the systematic literature search and selection process carried out in this study. The process begins with the identification of search terms, which are used to formulate the search string, resulting in an initial total of 875 articles. Then, filtering criteria are applied to refine the results:  
* Restriction to peer-reviewed articles, reducing the number to 410 articles.