Numerous software systems are highly configurable and provide a myriad of configuration options that users can tune to fit their functional and performance requirements (eg …
Product lines are widely used to manage families of products that share a common base of features. Typically, not every combination (configuration) of features is valid. Feature models …
Product lines are ubiquitous for managing variable systems. The variability of a product line is typically described in terms of a feature model. Analyzing a feature model gives insight …
Feature models are commonly used to specify the valid configurations of a product line. In industry, feature models are often complex due to a large number of features and …
Several relevant analyses on configurable software systems remain intractable because they require examining vast and highly-constrained configuration spaces. Those analyses …
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 …
The colossal solution spaces of most configurable systems make intractable their exhaustive exploration. Accordingly, relevant analyses remain open research problems. There exist …
Data visualization aims to effectively communicate quantitative information by understanding which techniques and displays work better for different circumstances and why. There are a …