5 citations · 12 across the 15 of their papers we have counts for
3 papers · 1 filter
Directed Grammar-Based Test Generation
Lukas Kirschner, Ezekiel Soremekun
To effectively test complex software, it is important to generate goal-specific inputs, i.e., inputs that achieve a specific testing goal. However, most state-of-the-art test gener…
HInter: Exposing Hidden Intersectional Bias in Large Language Models
Badr Souani, Ezekiel Soremekun, Mike Papadakis +3
Large Language Models (LLMs) may portray discrimination towards certain individuals, especially those characterized by multiple attributes (aka intersectional bias). Discovering in…
Latent Mutants: A large-scale study on the Interplay between mutation testing and software evolution
Jeongju Sohn, Ezekiel Soremekun, Michail Papadakis
In this paper we apply mutation testing in an in-time fashion, i.e., across multiple project releases. Thus, we investigate how the mutants of the current version behave in the fut…