The aim of the thesis is to analyze the structural complexity of issue dependency networks within IT project management and evaluate their impact on project performance and predictability. The research focuses on identifying how interconnected task relationships influence common project metrics throughout different  development phases.

In the theoretical part, the student will briefly introduce the principles of software development methodologies, focusing on iterative approaches. Then, the student will introduce network science with the aim on collaborative networks, defining relevant metrics and topological concepts. Also, an overview of existing research applying network analysis in IT project management will be provided.

In the practical part, the student will describe a methodology for the selection and preparation of relevant project data from an existing repository. Studen will conduct an analysis to evaluate the relationship between network connectivity and project outcomes, such as estimation accuracy and task resolution. Finally, student visualize the results with the aim to represent the evolution and structure of the identified dependency networks, and discuss the results.