Master Thesis Student (m/w/d)

The objective of this student position is to investigate how the usage and impact of AI-assisted software development tools can be made visible, transparent, and measurable within an industrial software engineering environment. The outcome of the project will be a prototype dashboard or automated reporting solution that provides meaningful insights into tool adoption, usage patterns, and potential business value.

Key responsibilities:

• Analyze available data sources for measuring the usage of AI-assisted software development tools (e.g., activity logs, usage metrics, prompt data, and other relevant sources)
• Define meaningful KPIs to measure adoption, engagement, productivity support, and potential quality-related effects
• Design and implement a prototype dashboard or automated reporting solution to visualize and communicate key insights
• Evaluate technical approaches for automated data collection, processing, and integration across multiple data sources
• Assess the strengths and limitations of different measurement approaches and derive recommendations for sustainable reporting and governance
• Document findings and present the results to relevant stakeholders

Required qualifications:

• Student pursuing a degree in Computer Science, Software Engineering, Data Science, Business Informatics, or a related field
• Strong interest in software development and artificial intelligence
• Basic knowledge of data analytics, data visualization, or dashboard development
• Analytical and structured way of working, with the ability to transform data into actionable insights
• Good communication skills in English, both written and spoken, German language skills are a plus but not required