{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T05:33:19Z","timestamp":1770269599378,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,7,20]],"date-time":"2015-07-20T00:00:00Z","timestamp":1437350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,7,20]]},"DOI":"10.1145\/2791060.2791069","type":"proceedings-article","created":{"date-parts":[[2015,8,24]],"date-time":"2015-08-24T14:09:20Z","timestamp":1440425360000},"page":"186-190","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":30,"title":["Empirical comparison of regression methods for variability-aware performance prediction"],"prefix":"10.1145","author":[{"given":"Pavel","family":"Valov","sequence":"first","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianmei","family":"Guo","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krzysztof","family":"Czarnecki","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,7,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/2188385.2188395"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018054314350"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_4_1","volume-title":"randtoolbox: Generating and Testing Random Numbers","author":"Dutang C.","year":"2013","unstructured":"C. Dutang and P. Savicky . randtoolbox: Generating and Testing Random Numbers , 2013 . C. Dutang and P. Savicky. randtoolbox: Generating and Testing Random Numbers, 2013."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2013.6693089"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2642937.2642971"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"Hastie T.","year":"2009","unstructured":"T. Hastie , R. Tibshirani , and J. Friedman . The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2 nd Edition. Springer , 2009 . T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition. Springer, 2009.","edition":"2"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2013.10.003"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v011.i09"},{"issue":"3","key":"e_1_3_2_1_10_1","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"Liaw A.","year":"2002","unstructured":"A. Liaw and M. Wiener . Classification and regression by randomforest . R News , 2 ( 3 ): 18 -- 22 , 2002 . A. Liaw and M. Wiener. Classification and regression by randomforest. R News, 2(3):18--22, 2002.","journal-title":"R News"},{"key":"e_1_3_2_1_11_1","volume-title":"Numerical Recipes in C","author":"Press W. H.","year":"1992","unstructured":"W. H. Press , S. A. Teukolsky , W. T. Vetterling , and B. P. Flannery . Numerical Recipes in C ( 2 nd Ed.): The Art of Scientific Computing. Cambridge Univ. Press , 1992 . W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery. Numerical Recipes in C (2nd Ed.): The Art of Scientific Computing. Cambridge Univ. Press, 1992.","edition":"2"},{"key":"e_1_3_2_1_12_1","volume-title":"R: A Language and Environment for Statistical Computing","author":"Core Team R","year":"2013","unstructured":"R Core Team . R: A Language and Environment for Statistical Computing , 2013 . R Core Team. R: A Language and Environment for Statistical Computing, 2013."},{"key":"e_1_3_2_1_13_1","volume-title":"Proc","author":"Siegmund N.","year":"2012","unstructured":"N. Siegmund , S. S. Kolesnikov , C. K\u00e4stner , S. Apel , D. Batory , M. Rosenm\u00fcller , and G. Saake . Predicting performance via automated feature-interaction detection . In Proc . ICSE. IEEE Press , 2012 . N. Siegmund, S. S. Kolesnikov, C. K\u00e4stner, S. Apel, D. Batory, M. Rosenm\u00fcller, and G. Saake. Predicting performance via automated feature-interaction detection. In Proc. ICSE. IEEE Press, 2012."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11219-011-9152-9"},{"key":"e_1_3_2_1_15_1","volume-title":"A pseudo-random number generator for personal computers. Computers and Mathematics with Applications, 37(4--5):33--40","author":"Sobol I.","year":"1999","unstructured":"I. Sobol and Y. Levitan . A pseudo-random number generator for personal computers. Computers and Mathematics with Applications, 37(4--5):33--40 , 1999 . I. Sobol and Y. Levitan. A pseudo-random number generator for personal computers. Computers and Mathematics with Applications, 37(4--5):33--40, 1999."},{"key":"e_1_3_2_1_16_1","volume-title":"rpart: Recursive Partitioning and Regression Trees","author":"Therneau T.","year":"2014","unstructured":"T. Therneau , B. Atkinson , and B. Ripley . rpart: Recursive Partitioning and Regression Trees , 2014 . T. Therneau, B. Atkinson, and B. Ripley. rpart: Recursive Partitioning and Regression Trees, 2014."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"Vapnik V. N.","year":"1995","unstructured":"V. N. Vapnik . The Nature of Statistical Learning Theory . Springer-Verlag New York, Inc. , 1995 . V. N. Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag New York, Inc., 1995."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2351676.2351703"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-9890-3","volume-title":"Data Mining with Rattle and R: The art of excavating data for knowledge discovery","author":"Williams G. J.","year":"2011","unstructured":"G. J. Williams . Data Mining with Rattle and R: The art of excavating data for knowledge discovery . Springer , 2011 . G. J. Williams. Data Mining with Rattle and R: The art of excavating data for knowledge discovery. Springer, 2011."}],"event":{"name":"SPLC '15: 2015 International Conference on Software Product Lines","location":"Nashville Tennessee","acronym":"SPLC '15","sponsor":["Vanderbilt University Vanderbilt University","Biglever BigLever Software, Inc."]},"container-title":["Proceedings of the 19th International Conference on Software Product Line"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2791060.2791069","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2791060.2791069","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:43:09Z","timestamp":1750225389000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2791060.2791069"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,20]]},"references-count":19,"alternative-id":["10.1145\/2791060.2791069","10.1145\/2791060"],"URL":"https:\/\/doi.org\/10.1145\/2791060.2791069","relation":{},"subject":[],"published":{"date-parts":[[2015,7,20]]},"assertion":[{"value":"2015-07-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}