Abstract: QDAcity is a collaborative cloud-based web application for qualitative data analysis. Being a collaborative application, making suggestions can be very useful tool for many users. For this QDAcity offers a suggestion system, where instead of directly editing making changes, a user can suggest making changes. Up until now the suggestion system was very rudimentary, only offering suggestions for codes, a concept used in qualitative data analysis. This thesis implements new functionality for this suggestion system, expanding the types of suggestions a user can make, validating that those suggestions are always possible and improving some central functions of the suggestion system. This thesis presents the final state of the implemented functionalities, while only describing steps in the development process if relevant to the explanation. At the end the project’s success is evaluated and some ideas for future work are mentioned.
Keywords: Web App, Collaboration, QDAcity
PDF: Bachelor Thesis
Reference: Nicolas Frederic Rung. Improving the suggestion system of a cloud-based web application. Bachelor Thesis. Friedrich-Alexander-Universität Erlangen-Nürnberg: 2025.
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