Daniel Maciel

Papers

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About

Daniel Maciel is a researcher whose work bridges the critical gap between software requirements and automated testing, with a focus on interactive applications. His primary research areas include model-based testing, requirements engineering, and the automation of acceptance testing processes. Maciel’s major contributions lie in developing integrated approaches that allow software teams to derive automated acceptance tests directly from requirements specifications, reducing manual effort and catching defects earlier in the development lifecycle. His 2019 paper, "From Requirements to Automated Acceptance Tests of Interactive Apps: An Integrated Model-based Testing Approach," has garnered 16 citations, while his follow-up work in 2020 on the RSL language has earned 14 citations. These publications demonstrate his impact in advancing practical, tool-supported methodologies that streamline software quality assurance. Maciel’s work is particularly notable for its emphasis on early-stage testing integration, a concept that challenges traditional late-stage testing practices and offers tangible benefits for agile development teams. His research continues to influence how practitioners and academics approach the alignment of requirements with automated validation.