Empirical evaluation of software lifecycle management tools

GOAL
Empirical evaluation of large language model (LLM) capabilities in handling requirements engineering for mobile machinery automation software development.
Practical experience of automatic linking of tickets in an issue tracker system
Evaluation of LLM-based automated documentation of mobile machine automation software.

RESULTS
Knowledge of LLM potential in mobile machine automation software development.
Practical experience of easing traceability when managing mobile machine automation software development.

ESEAMM project is a doctoral thesis work in Doctoral School of Industry Innovations (DSII) at Tampere University.