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Uniform Sampling from Kconfig Feature Models

, , , , and . 19-02. The University of Texas at Austin, Department of Computer Science, (2019)

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Uniform random sampling product configurations of feature models that have numerical features., , , , and . SPLC (A), page 39:1-39:13. ACM, (2019)A hierarchical model for traceability between requirements and architecture., and . SAC, page 1035-1042. ACM, (2014)t-wise coverage by uniform sampling., , and . SPLC (A), page 15:1-15:4. ACM, (2019)Uniform Sampling from Kconfig Feature Models, , , , and . 19-02. The University of Texas at Austin, Department of Computer Science, (2019)Finding Near-optimal Configurations in Colossal Spaces with Statistical Guarantees., , and . ACM Trans. Softw. Eng. Methodol., 33 (1): 7:1-7:36 (January 2024)Product Optimization in Stepwise Design., , , and . Logic, Computation and Rigorous Methods, volume 12750 of Lecture Notes in Computer Science, page 63-81. Springer, (2021)Finding broken Linux configuration specifications by statically analyzing the Kconfig language., , , and . ESEC/SIGSOFT FSE, page 893-905. ACM, (2021)An empirical study of real-world variability bugs detected by variability-oblivious tools., , , , and . ESEC/SIGSOFT FSE, page 50-61. ACM, (2019)inline-graphic not available: see fulltext: A Tool to Transform Feature Models with Numerical Features and Arithmetic Constraints., , , , and . ICSR, volume 13297 of Lecture Notes in Computer Science, page 59-75. Springer, (2022)