Software development faces persistent challenges in terms of maintainability and efficiency, and this is driving the ongoing search for innovative approaches. Agile methodologies, in particular Behaviour-Driven Development (BDD), have gained ground in society thanks to their ability to promote responsiveness to change and communication between stakeholders. However, as with many methods, the use of BDD can lead to mainte- nance costs and productivity problems. To meet these challenges, this research investigates the adaptation of advanced automatic data generation techniques, in particular SELF-INSTRUCT, to augment BDD datasets.
