Grounded Theory and Qualitative Data Analysis to Optimize Software Development and Smart Cities (Phase 1)

This project focuses on investigating the application, scope, and limitations of Qualitative Data Analysis (QDA) in disciplines traditionally dominated by quantitative approaches, such as Software Development, Information Systems, and Information Technologies. Historically, QDA has been a central topic in Social Sciences, but its implementation and challenges within Engineering fields have been less explored. The main objective is to bridge this knowledge gap by acknowledging the inherent challenges in applying QDA within engineering contexts. To achieve this, a dual methodology will be employed: an initial phase dedicated to data collection, analysis, and processing, followed by the specific application of Grounded Theory as the methodological framework for the qualitative analysis of data gathered from software development contexts. This research is expected to clarify how QDA can add value and identify its practical constraints throughout the technological development lifecycle.<br/><br/><b>Goal</b>: <br/>To study the scope and limitations of Qualitative Data Analysis within the field of Software Development, Information Systems, and Information Technologies.<br/><br/><b>Research lines</b>: <br/>Data science and simulation