1 citations · 3 across the 9 of their papers we have counts for
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Domain-Knowledge Driven Configuration Tuning of Kubernetes Workloads
Federico Imberti, Luca Cavagnis, Stefano Cereda +2
Industrial software applications often require engineers to tune the software deployment platform. Configuration tuning identifies valuable configurations that minimize costs while…
Property-Driven Synthetic Data Engineering for Data-Scarce Software Systems: Reflections from the Breast Cancer Domain
Aurora Francesca Zanenga, Andrea Bombarda, Marsha Chechik +4
Modern software systems increasingly depend on data for analysis, prediction, testing, and decision-making. Yet many important domains, including medicine, safety-critical systems,…
Engineering Resource-constrained Software Systems with DNN Components: a Concept-based Pruning Approach
Federico Formica, Andrea Rota, Aurora Francesca Zanenga +4
Deep Neural Networks (DNNs) are widely used by engineers to solve difficult problems that require predictive modeling from data. However, these models are often massive, with milli…
Ensembles-based Feature Guided Analysis
Federico Formica, Stefano Gregis, Andrea Rota +3
Recent Deep Neural Networks (DNN) applications ask for techniques that can explain their behavior. Existing solutions, such as Feature Guided Analysis (FGA), extract rules on their…