Feature selection is a popular topic. The main approaches to deal with it fall into the three categories of filters, wrappers and embedded methods. Advancement in algorithms, though proving fruitful, may be not enough. We propose integrate an explainable AI approach, based on Shapley values, provide more accurate information for feature selection. test our proposal real setting, which concerns ...

Complex networks arising in nature are usually modeled as (directed or undirected) graphs describing some connection between the objects that are identified with their nodes. In many real-world scenarios, though, those objects are endowed with properties and attributes (hereby called features). In this paper, we shall confine our interest to binary features, so that every node has a precise set...

The architecture of a software system captures early design decisions. These early design decisions reflect major quality concerns, including functionality. We would obviously like to design our systems such that they fulfill the quality requirements set for them. Unfortunately, we in general do not succeed in doing so in a straightforward way. This is especially true for product lines that mus...