{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T04:59:37Z","timestamp":1780462777731,"version":"3.54.1"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T00:00:00Z","timestamp":1641168000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T00:00:00Z","timestamp":1641168000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s00500-021-06564-w","type":"journal-article","created":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T00:03:15Z","timestamp":1641168195000},"page":"1197-1216","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Stacking regularization in analogy-based software effort estimation"],"prefix":"10.1007","volume":"26","author":[{"given":"Anupama","family":"Kaushik","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3713-8690","authenticated-orcid":false,"given":"Prabhjot","family":"Kaur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nisha","family":"Choudhary","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Priyanka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,3]]},"reference":[{"issue":"1","key":"6564_CR1","doi-asserted-by":"publisher","first-page":"39","DOI":"10.3233\/AIC-1994-7104","volume":"7","author":"A Aamodt","year":"1994","unstructured":"Aamodt A, Plaza E (1994) Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Comm 7(1):39\u201359","journal-title":"AI Comm"},{"issue":"7","key":"6564_CR2","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.3390\/pr9071155","volume":"9","author":"L Abualigah","year":"2021","unstructured":"Abualigah L, Diabat A, Sumari P, Gandomi AH (2021) A novel evolutionary arithmetic optimization algorithm for multilevel thresholding segmentation of covid-19 ct images. Processes 9(7):1155","journal-title":"Processes"},{"issue":"11","key":"6564_CR3","doi-asserted-by":"publisher","first-page":"4773","DOI":"10.1007\/s11227-017-2046-2","volume":"73","author":"LM Abualigah","year":"2017","unstructured":"Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):4773\u20134795","journal-title":"J Supercomput"},{"issue":"1","key":"6564_CR4","first-page":"19","volume":"5","author":"LMQ Abualigah","year":"2015","unstructured":"Abualigah LMQ, Hanandeh ES (2015) Applying genetic algorithms to information retrieval using vector space model. Int J Comput Sci Eng Appl 5(1):19","journal-title":"Int J Comput Sci Eng Appl"},{"key":"6564_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-10674-4","volume-title":"Feature selection and enhanced krill herd algorithm for text document clustering","author":"LMQ Abualigah","year":"2019","unstructured":"Abualigah LMQ et al (2019) Feature selection and enhanced krill herd algorithm for text document clustering. Springer, Newyork"},{"key":"6564_CR6","unstructured":"Alcal\u00e1-Fdez J, Fern\u00e1ndez A, Luengo J, Derrac J, Garc\u00eda S, S\u00e1nchez L, Herrera F (2011) Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Multiple-Val Log Soft Comput 17"},{"key":"6564_CR7","doi-asserted-by":"crossref","unstructured":"Anandhi V, Chezian RM (2014) Regression techniques in software effort estimation using cocomo dataset. In: 2014 international conference on intelligent computing applications, IEEE, pp 353\u2013357","DOI":"10.1109\/ICICA.2014.79"},{"issue":"1","key":"6564_CR8","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1023\/A:1009897800559","volume":"5","author":"L Angelis","year":"2000","unstructured":"Angelis L, Stamelos I (2000) A simulation tool for efficient analogy based cost estimation. Emp Softw Eng 5(1):35\u201368","journal-title":"Emp Softw Eng"},{"key":"6564_CR9","doi-asserted-by":"crossref","unstructured":"Azzeh M (2011) Model tree based adaption strategy for software effort estimation by analogy. In: 2011 IEEE 11th International Conference on Computer and Information Technology, IEEE, pp 328\u2013335","DOI":"10.1109\/CIT.2011.48"},{"key":"6564_CR10","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.jss.2015.01.028","volume":"103","author":"M Azzeh","year":"2015","unstructured":"Azzeh M, Nassif AB, Minku LL (2015) An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. J Syst Softw 103:36\u201352","journal-title":"J Syst Softw"},{"key":"6564_CR11","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.swevo.2017.07.009","volume":"38","author":"TR Benala","year":"2018","unstructured":"Benala TR, Mall R (2018) Dabe: Differential evolution in analogy-based software development effort estimation. Swarm Evol Comput 38:158\u2013172","journal-title":"Swarm Evol Comput"},{"key":"6564_CR12","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TSE.1984.5010193","volume":"1","author":"BW Boehm","year":"1984","unstructured":"Boehm BW (1984) Software engineering economics. IEEE Trans Softw Eng 1:4\u201321","journal-title":"IEEE Trans Softw Eng"},{"key":"6564_CR13","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1016\/j.procs.2019.08.215","volume":"157","author":"A Effendi","year":"2019","unstructured":"Effendi A, Setiawan R, Rasjid ZE (2019) Adjustment factor for use case point software effort estimation (study case: student desk portal). Procedia Comput Sci 157:691\u2013698","journal-title":"Procedia Comput Sci"},{"key":"6564_CR14","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1016\/j.asoc.2018.03.022","volume":"67","author":"S Ezghari","year":"2018","unstructured":"Ezghari S, Zahi A (2018) Uncertainty management in software effort estimation using a consistent fuzzy analogy-based method. Appl Soft Comput 67:540\u2013557","journal-title":"Appl Soft Comput"},{"issue":"4","key":"6564_CR15","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1016\/0315-0860(74)90034-2","volume":"1","author":"J Gergonne","year":"1974","unstructured":"Gergonne J (1974) The application of the method of least squares to the interpolation of sequences. Historia Math 1(4):439\u2013447","journal-title":"Historia Math"},{"key":"6564_CR16","doi-asserted-by":"crossref","unstructured":"Hodges J, Lehmann EL (2012) Rank methods for combination of independent experiments in analysis of variance. In: Selected Works of EL Lehmann, Springer, pp 403\u2013418","DOI":"10.1007\/978-1-4614-1412-4_35"},{"key":"6564_CR17","unstructured":"Holm S (1979) A simple sequentially rejective multiple test procedure. Scandinavian journal of statistics pp 65\u201370"},{"issue":"11","key":"6564_CR18","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1016\/j.infsof.2005.12.020","volume":"48","author":"SJ Huang","year":"2006","unstructured":"Huang SJ, Chiu NH (2006) Optimization of analogy weights by genetic algorithm for software effort estimation. Inf Softw Technol 48(11):1034\u20131045","journal-title":"Inf Softw Technol"},{"key":"6564_CR19","doi-asserted-by":"publisher","first-page":"990","DOI":"10.1016\/j.asoc.2016.08.012","volume":"49","author":"A Idri","year":"2016","unstructured":"Idri A, Hosni M, Abran A (2016) Improved estimation of software development effort using classical and fuzzy analogy ensembles. Appl Soft Comput 49:990\u20131019","journal-title":"Appl Soft Comput"},{"issue":"4","key":"6564_CR20","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1023\/B:EMSE.0000039881.57613.cb","volume":"9","author":"M J\u00f8rgensen","year":"2004","unstructured":"J\u00f8rgensen M (2004) Regression models of software development effort estimation accuracy and bias. Emp Softw Eng 9(4):297\u2013314","journal-title":"Emp Softw Eng"},{"key":"6564_CR21","doi-asserted-by":"crossref","unstructured":"J\u00f8rgensen M, Indahl U, Sj\u00f8berg D (2003) Software effort estimation by analogy and \u201cregression toward the mean.\u201d J Syst Soft. 68(3):253\u2013262","DOI":"10.1016\/S0164-1212(03)00066-9"},{"key":"6564_CR22","unstructured":"Kadoda G, Cartwright M, Chen L, Shepperd M (2000) Experiences using case-based reasoning to predict software project effort. In: Proceedings of the EASE 2000 conference, Keele, UK, Citeseer"},{"issue":"8","key":"6564_CR23","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1002\/smr.1792","volume":"28","author":"A Kaushik","year":"2016","unstructured":"Kaushik A, Tayal DK, Yadav K, Kaur A (2016) Integrating firefly algorithm in artificial neural network models for accurate software cost predictions. J Softw Evol Proc 28(8):665\u2013688","journal-title":"J Softw Evol Proc"},{"key":"6564_CR24","doi-asserted-by":"crossref","unstructured":"Kitchenham B, Mendes E (2009) Why comparative effort prediction studies may be invalid. In: Proceedings of the 5th international Conference on Predictor Models in Software Engineering, pp 1\u20135","DOI":"10.1145\/1540438.1540444"},{"issue":"7","key":"6564_CR25","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1016\/j.jss.2013.02.053","volume":"86","author":"E Kocaguneli","year":"2013","unstructured":"Kocaguneli E, Menzies T (2013) Software effort models should be assessed via leave-one-out validation. J Syst Softw 86(7):1879\u20131890","journal-title":"J Syst Softw"},{"issue":"100","key":"6564_CR26","first-page":"288","volume":"38","author":"PS Kumar","year":"2020","unstructured":"Kumar PS, Behera HS, Kumari A, Nayak J, Naik B (2020) Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades. Comput Sci Rev 38(100):288","journal-title":"Comput Sci Rev"},{"issue":"5","key":"6564_CR27","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1016\/j.jss.2007.07.039","volume":"81","author":"N Mittas","year":"2008","unstructured":"Mittas N, Angelis L (2008) Comparing cost prediction models by resampling techniques. J Syst Softw 81(5):616\u2013632","journal-title":"J Syst Softw"},{"key":"6564_CR28","doi-asserted-by":"crossref","unstructured":"Nassif AB, Azzeh M, Idri A, Abran A (2019) Software development effort estimation using regression fuzzy models. Comput Intell Neurosci 2019","DOI":"10.1155\/2019\/8367214"},{"key":"6564_CR29","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1016\/j.proeng.2012.09.545","volume":"48","author":"E Ostertagov\u00e1","year":"2012","unstructured":"Ostertagov\u00e1 E (2012) Modelling using polynomial regression. Procedia Eng 48:500\u2013506","journal-title":"Procedia Eng"},{"issue":"106","key":"6564_CR30","first-page":"330","volume":"125","author":"P Phannachitta","year":"2020","unstructured":"Phannachitta P (2020) On an optimal analogy-based software effort estimation. Inf Softw Technol 125(106):330","journal-title":"Inf Softw Technol"},{"issue":"4","key":"6564_CR31","doi-asserted-by":"publisher","first-page":"1307","DOI":"10.1137\/0907087","volume":"7","author":"F Santosa","year":"1986","unstructured":"Santosa F, Symes WW (1986) Linear inversion of band-limited reflection seismograms. SIAM J Sci Stat Comput 7(4):1307\u20131330","journal-title":"SIAM J Sci Stat Comput"},{"issue":"8","key":"6564_CR32","doi-asserted-by":"publisher","first-page":"820","DOI":"10.1016\/j.infsof.2011.12.008","volume":"54","author":"M Shepperd","year":"2012","unstructured":"Shepperd M, MacDonell S (2012) Evaluating prediction systems in software project estimation. Inf Softw Technol 54(8):820\u2013827","journal-title":"Inf Softw Technol"},{"issue":"11","key":"6564_CR33","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1109\/32.637387","volume":"23","author":"M Shepperd","year":"1997","unstructured":"Shepperd M, Schofield C (1997) Estimating software project effort using analogies. IEEE Trans Softw Eng 23(11):736\u2013743","journal-title":"IEEE Trans Softw Eng"},{"key":"6564_CR34","unstructured":"Singh SP, Singh VP, Mehta AK (2018) Differential evolution using homeostasis adaption based mutation operator and its application for software cost estimation. J King Saud Univ Comp Inf Sci"},{"key":"6564_CR35","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.procs.2018.10.403","volume":"143","author":"T Singh","year":"2018","unstructured":"Singh T, Singh R, Mishra KK (2018) Software cost estimation using environmental adaptation method. Procedia Comp Sci 143:325\u2013332","journal-title":"Procedia Comp Sci"},{"issue":"4","key":"6564_CR36","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/0315-0860(74)90033-0","volume":"1","author":"SM Stigler","year":"1974","unstructured":"Stigler SM (1974) Gergonne\u2019s 1815 paper on the design and analysis of polynomial regression experiments. Historia Math 1(4):431\u2013439","journal-title":"Historia Math"},{"issue":"1","key":"6564_CR37","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R (1996) Regression shrinkage and selection via the lasso. J Roy Stat Soc Ser B Methodol 58(1):267\u2013288","journal-title":"J Roy Stat Soc Ser B Methodol"},{"issue":"2","key":"6564_CR38","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1023\/A:1009872202035","volume":"4","author":"F Walkerden","year":"1999","unstructured":"Walkerden F, Jeffery R (1999) An empirical study of analogy-based software effort estimation. Emp Softw Eng 4(2):135\u2013158","journal-title":"Emp Softw Eng"},{"key":"6564_CR39","doi-asserted-by":"crossref","unstructured":"Wilcoxon F (1992) Individual comparisons by ranking methods. In: Breakthroughs in statistics, Springer, pp 196\u2013202","DOI":"10.1007\/978-1-4612-4380-9_16"},{"issue":"2","key":"6564_CR40","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0893-6080(05)80023-1","volume":"5","author":"DH Wolpert","year":"1992","unstructured":"Wolpert DH (1992) Stacked generalization. Neural Netw 5(2):241\u2013259","journal-title":"Neural Netw"},{"issue":"05","key":"6564_CR41","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1142\/S0218194016500261","volume":"26","author":"F Y\u00fccalar","year":"2016","unstructured":"Y\u00fccalar F, Kilinc D, Borandag E, Ozcift A (2016) Regression analysis based software effort estimation method. Int J Softw Eng Knowl Eng 26(05):807\u2013826","journal-title":"Int J Softw Eng Knowl Eng"},{"key":"6564_CR42","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.proeng.2015.10.007","volume":"122","author":"K Zima","year":"2015","unstructured":"Zima K (2015) The case-based reasoning model of cost estimation at the preliminary stage of a construction project. Procedia Eng 122:57\u201364","journal-title":"Procedia Eng"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-021-06564-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-021-06564-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-021-06564-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T10:01:31Z","timestamp":1744192891000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-021-06564-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,3]]},"references-count":42,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["6564"],"URL":"https:\/\/doi.org\/10.1007\/s00500-021-06564-w","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,3]]},"assertion":[{"value":"12 November 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All the authors declare that there is no conflict of interest in publishing this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}