The number of new vulnerabilities continues to rise significantly each year. Simultaneously,
vulnerability databases have challenges in promptly sharing new security events with …

Feature models are the" de facto" standard for representing variability in software-intensive
systems. Automated analysis of feature models is the computer-aided extraction of …

Feature modelling is a cornerstone of software product line engineering, providing a means
to represent software variability through features and their relationships. Since its inception …

The Universal Variability Language (UVL) is a community effort towards a widely adopted
textual specification for feature models. For widespread usage, the language should be …

Data visualization aims to convey quantitative and qualitative information effectively by
determining which techniques and visualizations are most appropriate for different situations …

Feature models are the de facto standard for modelling variabilities and commonalities in
features and relationships in software product lines. They are the base artefacts in many …

Challenging domains of the future such as Smart Cities, Cloud Computing, or Industry 4.0
expose highly variable systems with colossal configuration spaces. The automated analysis …

Recognizing specific characteristics of feature models (FM) can be challenging due to the
different nature and domains of the models. There are several metrics to characterize FMs …

Vulnerability management is a critical and very challenging process that allows
organisations to design a procedure to identify potential vulnerabilities, assess the level of …

Software evolution often requires data management and more concretely data migration.
Data migration follows an ETL process: extracting (E) data from a source, transforming (T) …