- idUS
- Listar por autor
Listar por autor "Fernández Amorós, David"
Mostrando ítems 1-5 de 5
-
Artículo
A Monte Carlo tree search conceptual framework for feature model analyses
Horcas Aguilera, José Miguel; Galindo Duarte, José Ángel; Heradio, Ruben; Fernández Amorós, David; Benavides Cuevas, David Felipe (ElSevier, 2023-01)Challenging domains of the future such as Smart Cities, Cloud Computing, or Industry 4.0 expose highly variable systems ...
-
Ponencia
Monte Carlo Tree Search for Feature Model Analyses: a General Framework for Decision-Making
Horcas Aguilera, José Miguel; Galindo Duarte, José Ángel; Heradio, Ruben; Fernández Amorós, David; Benavides Cuevas, David Felipe (Association for Computing Machinery (ACM), 2021)The colossal solution spaces of most configurable systems make intractable their exhaustive exploration. Accordingly, ...
-
Artículo
Uniform and scalable sampling of highly configurable systems
Heradio, Ruben; Fernández Amorós, David; Galindo Duarte, José Ángel; Benavides Cuevas, David Felipe; Batory, Don (Springer, 2022)Many analyses on confgurable software systems are intractable when confronted with colossal and highly-constrained ...
-
Artículo
Uniform and scalable sampling of highly configurable systems (Correction)
Heradio, Ruben; Fernández Amorós, David; Galindo Duarte, José Ángel; Benavides Cuevas, David Felipe; Batory, Don (Springer, 2022) -
Ponencia
Uniform and scalable SAT-sampling for configurable systems
Heradio, Ruben; Fernández Amorós, David; Galindo Duarte, José Ángel; Benavides Cuevas, David Felipe (Association for Computing Machinery (ACM), 2020)Several relevant analyses on configurable software systems remain intractable because they require examining vast and ...