Artificial Intelligence

SelfBehave, Generating a Synthetic Behaviour-Driven Development Dataset Using SELF-INSTRUCT

While state-of-the-art large language models (LLMs) show great potential for automating various Behavioral-Driven Development (BDD) related tasks, such as test generation, smaller …

manon-galloy

Towards LLM-Generated Code Tours for Onboarding

Onboarding new developers is a challenge for any software project. Addressing this challenge relies on human resources (e.g., having a senior developer write documentation or …

martin-balfroid

VaryMinions: Leveraging RNNs to Identify Variants in Variability-intensive Systems' Logs

From business processes to course management, variability-intensive software systems (VIS) are now ubiquitous. One can configure these systems' behaviour by activating options, …

sophie-fortz

Towards Feature-based ML-enabled Behaviour Location

Mapping behaviours to the features they relate to is a prerequisite for variability-intensive systems (VIS) reverse engineering. Manually providing this whole mapping is …

sophie-fortz

VaryMinions: Leveraging RNNs to Identify Variants in Event Logs

Business processes have to manage variability in their execution, e.g., to deliver the correct building permit in different municipalities. This variability is visible in event …

sophie-fortz

Report from the 2nd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '20)

In the past years, with the development and widespread of digital technologies, everyday life has been profoundly transformed. The general public, as well as specialized audiences, …

benoit-vanderose

Report from the 1st Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '19)

In the past years, everyday life has been profoundly transformed by the development and widespread of digital technologies. Gen- eral, as well as specialized audiences, have to …

benoit-vanderose