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Listar por autor "Felfernig, Alexander"
Mostrando ítems 1-6 de 6
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Ponencia
A Parallelized Variant of Junker’s QUICKXPLAIN Algorithm
Vidal Silva, Cristian; Felfernig, Alexander; Galindo Duarte, José Ángel; Atas, Müslüm; Benavides Cuevas, David Felipe (Springer, 2020)Conflict detection is used in many scenarios ranging from interactive decision making to the diagnosis of potentially ...
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Artículo
Anytime diagnosis for reconfiguration
Felfernig, Alexander; Rouven, Walter; Galindo Duarte, José Ángel; Benavides Cuevas, David Felipe; Polat Erdeniz, Seda; Atas, Müslüm; Reiterer, Stefan (Springer, 2018)Many domains require scalable algorithms that help to determine diagnoses efficiently and often within predefined time ...
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Ponencia
Automated Analysis in Feature Modelling and Product Configuration
Benavides Cuevas, David Felipe; Felfernig, Alexander; Galindo Duarte, José Ángel; Reinfrank, Florian (Springer, 2013)The automated analysis of feature models is one of the thriving topics of research in the software product line and ...
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Artículo
DirectDebug: A software package for the automated testing and debugging of feature models
Le, Viet-Man; Felfernig, Alexander; Tran, Thi Ngoc Trang; Atas, Müslüm; Uta, Mathias; Benavides Cuevas, David Felipe; Galindo Duarte, José Ángel (Elsevier, 2021)Complex and large-scale feature models can become faulty, i.e., do not represent the expected variability properties of ...
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Artículo
DirectDebug: Automated Testing and Debugging of Feature Models
Le, Viet-Man; Felfernig, Alexander; Uta, Mathias; Benavides Cuevas, David Felipe; Galindo Duarte, José Ángel; Tran, Thi Ngoc Trang (Cornell University, 2021)Variability models (e.g., feature models) are a common way for the representation of variabilities and commonalities of ...
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Ponencia
Towards Anomaly Explanation in Feature Models
Felfernig, Alexander; Benavides Cuevas, David Felipe; Galindo Duarte, José Ángel; Reinfrank, Florian (CEUR-WS, 2013)Feature models are a wide-spread approach to variability and commonality management in software product lines. Due to ...