Machine learning (ML) techniques increase the effectiveness of software engineering (SE)
lifecycle activities. We systematically collected, quality-assessed, summarized, and …

Context-aware recommender systems dedicated to online social networks experienced
noticeable growth in the last few years. This has led to more research being done in this …

Modern computer systems are highly configurable, with the total variability space sometimes
larger than the number of atoms in the universe. Understanding and reasoning about the …

With large scale and complex configurable systems, it is hard for users to choose the right
combination of options (ie, configurations) in order to obtain the wanted trade-off between …

Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …

Companies have adopted modern code review as a key technique for continuously
monitoring and improving the quality of software changes. One of the main motivations for …

When configuring a software product line, finding a good trade-off between multiple
orthogonal quality concerns is a challenging multi-objective optimisation problem. State-of …

Programming variability is central to the design and implementation of software systems that
can adapt to a variety of contexts and requirements, providing increased flexibility and …

Software errors are a major nuisance in software development and can lead not only to
reputation damages, but also to considerable financial losses for companies. Therefore …

The increasing heterogeneity of the VM offerings on public IaaS clouds gives rise to a very
large number of deployment options for constructing distributed, multi-component cloud …