Estado del arte sobre las metodologías de análisis de datos cualitativos en Ingeniería de Ciencias de la Computación

Abstract

In this document, a state of the art was formulated that focuses on knowing the current situation of qualitative data analysis methodologies applied in Computer Science. The most representative articles obtained with systematic mapping were analyzed, in the range of 2017 to 2021, which presented as a result the methodologies and the areas where it was applied. Therefore, it was identified that research currently uses the following methodologies: 65% non-specific or empirical, 25% grounded theory (GT), 5% social cognitive theory and the remaining 5%.