2 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape
Giordano d'Aloisio, Andrea D'Angelo, Francesca Marzi +3
Gender bias in education gained considerable relevance in the literature over the years. However, while the problem of gender bias in education has been widely addressed from a stu…
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development
Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco +1
The problem of predicting the training time of machine learning (ML) models has become extremely relevant in the scientific community. Being able to predict a priori the training t…
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…