Final Thesis: Improving the User Experience of the Coding Editor in QDAcity

Abstract: This thesis enhances the usability of the QDAcity coding editor, a cloud-based tool for qualitative data analysis (QDA), by addressing key limitations in document organization, code visualization, and interaction
efficiency. Three primary improvements were implemented: a hierarchical document group management system, a redesigned Codemap for intuitive code relationship visualization, and inline editing to streamline workflows. Developed using React.js, Java with Spring Boot, and Google Cloud Platform, these features were rigorously tested against functional and non-functional requirements. Evaluation results confirm improved usability, particularly for non-technical researchers, with robust real-time collaboration and maintainable architecture. This work advances QDAcity’s effectiveness, aligning with user-centered design principles and contributing to accessible QDA tools.

PDF: Master Thesis

Reference: Bahareh Chalay Amoly. Improving the User Experience of the Coding Editor in QDAcity. Master Thesis. Friedrich-Alexander-Universität Erlangen-Nürnberg: 2025.


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