2 citations · 8 across the 9 of their papers we have counts for
5 papers · 1 filter
SafeTune: Search-based Harmfulness Minimisation for Large Language Models
Giordano d'Aloisio, David Williams, Giusy Annunziata +3
The widespread adoption of Large Language Models (LLMs) raises concerns about the potential harmfulness of their responses. In this paper, we first investigate the harmfulness of r…
VAMP: Visual Analytics for Microservices Performance
Luca Traini, Jessica Leone, Giovanni Stilo +1
Analysis of microservices' performance is a considerably challenging task due to the multifaceted nature of these systems. Each request to a microservices system might raise severa…
How fair are we? From conceptualization to automated assessment of fairness definitions
Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco +1
Fairness is a critical concept in ethics and social domains, but it is also a challenging property to engineer in software systems. With the increasing use of machine learning in s…
Modeling Quality and Machine Learning Pipelines through Extended Feature Models
Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo
The recently increased complexity of Machine Learning (ML) methods, led to the necessity to lighten both the research and industry development processes. ML pipelines have become a…
A model-driven approach to broaden the detection of software performance antipatterns at runtime
Antinisca Di Marco, Catia Trubiani
Performance antipatterns document bad design patterns that have negative influence on system performance. In our previous work we formalized such antipatterns as logical predicates…