A validation of QDAcity-RE for domain modeling using qualitative data analysis

Abstract Using qualitative data analysis (QDA) to perform domain and modeling has shown great promise. Yet, the evaluation of such approaches been limited single-case case studies. While these exploratory cases are valuable for an initial assessment, efficacy QDA solve suggested problems is restricted by common study research design. our own method, called QDAcity-RE, as example, we present in-depth empirical employing using a controlled experiment Our shows that QDA-based method leads deeper richer set concepts discovered from data, while also being more time efficient than control group comparable non-QDA-based with same level traceability.