Uniform and scalable sampling of highly configurable systems (Correction)

AUTHOR CORRECTION Correction to: Uniform and scalable sampling of highly configurable systems Ruben Heradio 1 &David Fernandez-Amoros 1 &José A. Galindo 2 & David Benavides 2 &Don Batory 3 #The Author(s) 2022 Correction to: Empir Software Eng (2022) 27: 44 https://doi.org/10.1007/s10664-021-10102-5 The original version of this article, unfortunately, contained mistakes. The title of Section 2.2.3 should be "Method 3: Measure the distance between the theoretical variable probabilities with the empirical variable frequencies in a sample", and the title of Section 2.2.4 should be "Method 4: A statistical goodness-of-fit test that compares the theoretical variable probabilities with the empirical variable frequencies in a sample". The original article has been corrected. https://doi.org/10.1007/s10664-022-10141-6 The online version of the original article can be found at https://doi.org/10.1007/s10664-021-10102-5 *Ruben Heradio [email protected] David Fernandez-Amoros [email protected] José A. Galindo [email protected] David Benavides [email protected] Don Batory [email protected] 1 Universidad Nacional de Educación a Distancia, Madrid, Spain 2 University of Seville, Seville, Spain 3 University of Texas at Austin, Austin, TX, USA Published online: 14 March 2022 Empirical Software Engineering (2022) 27: 57 Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. 57 Page2of 2 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Empirical Software Engineering (2022) 27: 57