Abstract Context Search-based Software Testing (SBST) is a research field where testing a
software product is formulated as an optimization problem. It is an active sub-area of Search …

The analysis of software product lines is challenging due to the potentially large number of
products, which grow exponentially in terms of the number of features. Product sampling is a …

Configurable systems allow users to derive customized software variants with behavior and
functionalities tailored to individual needs. Developers of these configurable systems need …

Abstract A Software Product Line (SPL) is a software development paradigm in which a
family of software products shares a set of core assets. Testing has a vital role in both single …

The Feature Model (FM) is a fundamental artifact of the Software Product Line (SPL)
engineering. It represents all SPL variabilities and commonalities and is generally used to …

Search-based test generation is guided by feedback from one or more fitness functions—
scoring functions that judge solution optimality. Choosing informative fitness functions is …

Software containers are becoming the new state of the art in the industry as they are
extensively used to deploy systems. Indeed, the use of containers enables better modularity …

Many recent studies have shown that various multi-objective evolutionary algorithms have
been widely applied in the field of search-based software engineering (SBSE) for optimal …

Abstract Evolutionary Multi-Objective Algorithms (EMOAs) have been applied to derive
products for the variability testing of Software Product Lines (SPLs), which is a complex task …

The selection of products for the variability testing of Feature Models (FMs) is a complex task
impacted by many factors. To solve this problem, Multi-Objective Evolutionary Algorithms …