Product line engineering has become essential in mass customisation given its ability to
reduce production costs and time to market, and to improve product quality and customer …

Product lines have been employed as a mass customisation method that reduces production
costs and time-to-market. Multiple product variants are represented in a product line …

The quality of machine learning (ML) and deep learning (DL) models are very sensitive to
many different adjustable parameters that are set before training even begins, commonly …

Multi-cloud computing has been proposed as a way to reduce vendor dependence, comply
with location regulations, and optimize reliability, performance and costs. Meanwhile …

In this paper, we conduct statistical analyses for two Amazon cloud pricing models: on
demand and spot. On demand cloud instances are charged a fixed price and can only be …

Context Verification techniques are being applied to ensure that software systems achieve
desired quality levels and fulfill functional and non-functional requirements. However …

Due to the number of cloud providers, as well as the extensive collection of services, cloud
computing provides very flexible environments, where resources and services can be …

Configuring and executing applications across multiple clouds is a challenging task due to
the various terminologies used by the cloud providers. Therefore, we advocate the use of …

Feature modeling is widely used to capture and manage commonalities and variabilities in
software product lines. Cardinality-based feature models are used when variability applies …

Abstract Context Emerging paradigms like Internet of Things and Smart Cities utilize
advanced sensing and communication infrastructures, where heterogeneity is an inherited …