Learning software configuration spaces: A systematic literature review

JA Pereira, M Acher, H Martin, JM Jézéquel… - Journal of Systems and …, 2021 - Elsevier
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 …

Uniform sampling of sat solutions for configurable systems: Are we there yet?

Q Plazar, M Acher, G Perrouin… - 2019 12th IEEE …, 2019 - ieeexplore.ieee.org
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 …

Uniform and scalable sampling of highly configurable systems

R Heradio, D Fernandez-Amoros, JA Galindo… - Empirical Software …, 2022 - Springer
Many analyses on configurable software systems are intractable when confronted with
colossal and highly-constrained configuration spaces. These analyses could instead use …

The interplay of sampling and machine learning for software performance prediction

C Kaltenecker, A Grebhahn, N Siegmund… - IEEE Software, 2020 - ieeexplore.ieee.org
Artificial intelligence has gained considerable momentum in software engineering, but there
are major challenges that make this domain special. We review recent advances, raise …

Product sampling for product lines: the scalability challenge

T Pett, T Thüm, T Runge, S Krieter, M Lochau… - Proceedings of the 23rd …, 2019 - dl.acm.org
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 …

Sampling effect on performance prediction of configurable systems: A case study

J Alves Pereira, M Acher, H Martin… - Proceedings of the ACM …, 2020 - dl.acm.org
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 …

Applications of# SAT solvers on feature models

C Sundermann, M Nieke, PM Bittner, T Heß… - Proceedings of the 15th …, 2021 - dl.acm.org
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 …

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 …

A Monte Carlo tree search conceptual framework for feature model analyses

JM Horcas, JA Galindo, R Heradio… - Journal of Systems and …, 2023 - Elsevier
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 …

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 …