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Software Variability Management: An Exploratory Study with Two Feature Modeling Tools.

, , , , , and . SBCARS, page 20-29. IEEE Computer Society, (2013)

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Learning Software Configuration Spaces: A Systematic Literature Review., , , , , and . CoRR, (2019)Heuristic and exact algorithms for product configuration in software product lines., , , and . Int. Trans. Oper. Res., 24 (6): 1285-1306 (2017)Learning software configuration spaces: A systematic literature review., , , , , and . J. Syst. Softw., (2021)Feature subset selection for learning huge configuration spaces: the case of linux kernel size., , , , , , , and . SPLC (A), page 85-96. ACM, (2022)A comparison of performance specialization learning for configurable systems., , , and . SPLC (A), page 46-57. ACM, (2021)Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study., , , , , , , , and . MSR, page 471-482. IEEE, (2021)Identification and relationship between notation and tool for feature models with graphic representation., , , , , and . SCCC, page 1-12. IEEE, (2016)An Empirical Study of Two Software Product Line Tools., , , , and . ENASE, page 164-171. SciTePress, (2016)Machine learning and configurable systems: a gentle introduction., , , and . SPLC (A), page 40:1. ACM, (2020)Personalized recommender systems for product-line configuration processes., , , , and . Comput. Lang. Syst. Struct., (2018)