Multiobjective evolutionary algorithms (MOEAs) have been widely used in real-world
applications. However, most MOEAs based on Pareto-dominance handle many-objective …

Software product line engineering has proven to empower organizations to develop a
diversity of similar software-intensive systems (applications) at lower cost, in shorter time …

Many-objective optimization has posed a great challenge to the classical Pareto dominance-
based multiobjective evolutionary algorithms (MOEAs). In this paper, an evolutionary …

Almost every complex software system today is configurable. While configurability has many
benefits, it challenges performance prediction, optimization, and debugging. Often, the …

Software systems nowadays are complex and difficult to maintain due to continuous
changes and bad design choices. To handle the complexity of systems, software products …

Mobile applications (apps) are software developed for use on mobile devices and made
available through app stores. App stores are highly competitive markets where developers …

Configuration problems are not only prevalent, but also severely impair the reliability of
today's system software. One fundamental reason is the ever-increasing complexity of …

Software Product Line (SPL) feature selection involves the optimization of multiple
objectives in a large and highly constrained search space. We introduce SATIBEA, that …

Software Product Lines (SPLs) are highly configurable systems. This raises the challenge to
find optimal performing configurations for an anticipated workload. As SPL configuration …

Configurable software systems allow stakeholders to derive program variants by selecting
features. Understanding the correlation between feature selections and performance is …