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Learning software configuration spaces: A systematic literature review
Most modern software systems (operating systems like Linux or Android, Web browsers like
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …
Uniform sampling of sat solutions for configurable systems: Are we there yet?
Uniform or near-uniform generation of solutions for large satisfiability formulas is a problem
of theoretical and practical interest for the testing community. Recent works proposed two …
of theoretical and practical interest for the testing community. Recent works proposed two …
Uniform and scalable sampling of highly configurable systems
Many analyses on configurable software systems are intractable when confronted with
colossal and highly-constrained configuration spaces. These analyses could instead use …
colossal and highly-constrained configuration spaces. These analyses could instead use …
The interplay of sampling and machine learning for software performance prediction
Artificial intelligence has gained considerable momentum in software engineering, but there
are major challenges that make this domain special. We review recent advances, raise …
are major challenges that make this domain special. We review recent advances, raise …
Product sampling for product lines: the scalability challenge
Quality assurance for product lines is often infeasible for each product separately. Instead,
only a subset of all products (ie, a sample) is considered during testing such that at least the …
only a subset of all products (ie, a sample) is considered during testing such that at least the …
Sampling effect on performance prediction of configurable systems: A case study
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 …
options that users can tune to fit their functional and performance requirements (eg …
Applications of# SAT solvers on 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 …
is typically described in terms of a feature model. Analyzing a feature model gives insight …
A BDD for Linux? the knowledge compilation challenge for variability
T Thüm - Proceedings of the 24th ACM Conference on Systems …, 2020 - dl.acm.org
What is the number of valid configurations for Linux? How to generate uniform random
samples for Linux? Can we create a binary decision diagram for Linux? It seems that the …
samples for Linux? Can we create a binary decision diagram for Linux? It seems that the …
A Monte Carlo tree search conceptual framework for feature model 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 …
expose highly variable systems with colossal configuration spaces. The automated analysis …
On the benefits of knowledge compilation for feature-model analyses
C Sundermann, E Kuiter, T Heß, H Raab… - Proceedings of the 28th …, 2024 - dl.acm.org
In practice, feature models often have up-to thousands of features and, thus, are typically
infeasible to analyze manually. Hence, many different analyses have been proposed which …
infeasible to analyze manually. Hence, many different analyses have been proposed which …