A model-driven approach to broaden the detection of software performance antipatterns at runtime
Type
Publication
Proceedings 11th International Workshop on Formal Engineering approaches to Software Components and Architectures, FESCA 2014, Grenoble, France, 12th April 2014
Antinisca Di Marco
Associate Professor
My research interests are Software and Performance Engineering, Data Science, and Quality of Machine Learning.