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"Acapulco: an extensible tool for identifying optimal and consistent ..."

Jabier Martinez et al. (2022)

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DOI: 10.1145/3503229.3547067

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-12

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  dblp key:
  - conf/splc/Martinez0HBZ22
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Jabier Martinez, Daniel Strüber, José Miguel Horcas, Alexandru Burdusel, Steffen Zschaler:
Acapulco: an extensible tool for identifying optimal and consistent feature model configurations. SPLC (B) 2022: 50-53

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