Software development, Generative AI

Assessing the Impact of Generative AI on the Software Development Lifecycle


Are you curious to explore the evolving landscape of software development in the age of AI? Do you see yourself contributing to groundbreaking research that shapes how Generative AI (GenAI) enhances software processes? If you see yourself in this role, we invite you to embark on a master's thesis journey focusing on the integration and effectiveness of GenAI in software development.

Objectives of the thesis

The thesis aims to develop a comprehensive framework for evaluating the performance and quality of GenAI applications in software development. You will investigate the dynamics of GenAI integration in various software environments, assess its impact on development timelines and product quality, and explore the challenges faced by IT executives in implementing GenAI solutions. The project will provide valuable insights into optimizing GenAI usage for maximum efficiency and effectiveness. Research methods could include data analysis, interviews with industry experts, and case studies of GenAI implementation in software projects.

Your Profile

You should...

  • possess a deep-rooted interest in the field of AI, particularly in                 its application in software development.
  • be able to independently drive the research hile ffectively managing your time.
  • demonstrate excellent communication skills and a collaborative spirit.
  • show a commitment to detailed and precise research methodologies.
  • have solid academic writing skills in English.

We offer


  • Personalized guidance and mentoring by Olivia Bruhin, including regular progress reviews and feedback sessions.
  • The flexibility to commence your thesis at your earliest convenience, with an expected completion timeline of 6 months.
  • Opportunities to publish your work in academic forums, subject to the significance and quality of your findings.


To apply for this exciting research opportunity, please provide the following:

  • Your current CV
  • Academic transcripts
  • A proposed timeline for your research
  • A motivation letter (not exceeding 150 words)




Olivia Bruhin

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