GENIUS
Generative AI represents a breakthrough in AI and will significantly increase productivity in software development, with a predicted uplift of 20% to 45%. However, the direct implementation of Generative AI in software development processes remains experimental, with critical uncertainties surrounding security, data privacy, and accuracy. The rapidly evolving landscape of Generative AI poses a challenge for individual companies to keep pace and identify optimal solutions. Compounded by a shortage of skilled software engineers, there is an urgent need for increased efficiency in development processes.
Project GENIUS addresses these challenges by focusing on solutions that promote knowledge management, integrate semantic search capabilities, and reduce reliance on individual experts. By facilitating automation and generation capabilities throughout the SDLC, the project aims to streamline development processes and improve overall efficiency.
Project GENIUS addresses these challenges by focusing on solutions that promote knowledge management, integrate semantic search capabilities, and reduce reliance on individual experts. By facilitating automation and generation capabilities throughout the SDLC, the project aims to streamline development processes and improve overall efficiency.
Table of contents
Project duration
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Core fields of research
Information technology and the human in the knowledge society
Research areas
Faculty of Information Technology - Research areas
Faculty
Faculty of Information Technology