{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T04:18:44Z","timestamp":1775708324964,"version":"3.50.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T00:00:00Z","timestamp":1736899200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T00:00:00Z","timestamp":1736899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2022A1515110058"],"award-info":[{"award-number":["2022A1515110058"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2022A1515011551"],"award-info":[{"award-number":["2022A1515011551"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276103"],"award-info":[{"award-number":["62276103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71971069"],"award-info":[{"award-number":["71971069"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62476163"],"award-info":[{"award-number":["62476163"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"crossref","award":["2023B1515120020"],"award-info":[{"award-number":["2023B1515120020"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Innovation Team Project of General Colleges and Universities in Guangdong Province","award":["2023KCXTD002"],"award-info":[{"award-number":["2023KCXTD002"]}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Projects of Guangdong Province","doi-asserted-by":"crossref","award":["KTP20240831"],"award-info":[{"award-number":["KTP20240831"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Projects of Guangdong Province","doi-asserted-by":"crossref","award":["KTP20240254"],"award-info":[{"award-number":["KTP20240254"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"crossref"}]},{"name":"quality of teaching construction project of Guangdong Provincial Department of Education in 2023","award":["350"],"award-info":[{"award-number":["350"]}]},{"name":"Ministry of Education\u2019s supply-demand docking employment and education project","award":["20230103147"],"award-info":[{"award-number":["20230103147"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Complex Intell. Syst."],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s40747-024-01706-7","type":"journal-article","created":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T08:38:57Z","timestamp":1736930337000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Microscale search-based algorithm based on time-space transfer for automated test case generation"],"prefix":"10.1007","volume":"11","author":[{"given":"Yinghan","family":"Hong","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6830-6733","authenticated-orcid":false,"given":"Fangqing","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Han","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Xiang","sequence":"additional","affiliation":[]},{"given":"Xueming","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Guizhen","family":"Mai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,15]]},"reference":[{"key":"1706_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10664-021-10048-8","volume":"27","author":"H Almulla","year":"2022","unstructured":"Almulla H, Gay G (2022) Learning how to search: generating effective test cases through adaptive fitness function selection. Empir Softw Eng 27:1\u201362","journal-title":"Empir Softw Eng"},{"key":"1706_CR2","doi-asserted-by":"publisher","DOI":"10.1145\/3511805","author":"R Aurora","year":"2022","unstructured":"Aurora R, Robert F, Jos\u00e9 RR (2022) A taxonomy of information attributes for test case prioritisation: applicability, machine learning. ACM Trans Softw Eng Methodol. https:\/\/doi.org\/10.1145\/3511805","journal-title":"ACM Trans Softw Eng Methodol"},{"key":"1706_CR3","doi-asserted-by":"crossref","unstructured":"Biswas S, Kaiser MS, Mamun S (2015) Applying ant colony optimization in software testing to generate prioritized optimal path and test data. In: 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), pp. 1\u20136","DOI":"10.1109\/ICEEICT.2015.7307500"},{"key":"1706_CR4","doi-asserted-by":"crossref","unstructured":"Bouchachia A (2007) An immune genetic algorithm for software test data generation. In: 7th International Conference on Hybrid Intelligent Systems (HIS 2007), IEEE. pp. 84\u201389","DOI":"10.1109\/HIS.2007.37"},{"key":"1706_CR5","doi-asserted-by":"publisher","unstructured":"Bueno PM, Jino M, Wong WE (2014) Diversity oriented test data generation using metaheuristic search techniques. Inform Sci 259:490\u2013509. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025511000442, https:\/\/doi.org\/10.1016\/j.ins.2011.01.025","DOI":"10.1016\/j.ins.2011.01.025"},{"key":"1706_CR6","doi-asserted-by":"publisher","first-page":"3640","DOI":"10.1109\/TSE.2021.3101870","volume":"48","author":"S Cha","year":"2022","unstructured":"Cha S, Hong S, Bak J, Kim J, Lee J, Oh H (2022) Enhancing dynamic symbolic execution by automatically learning search heuristics. IEEE Trans Softw Eng 48:3640\u20133663. https:\/\/doi.org\/10.1109\/TSE.2021.3101870","journal-title":"IEEE Trans Softw Eng"},{"key":"1706_CR7","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1109\/TETCI.2021.3122511","volume":"6","author":"J Chen","year":"2022","unstructured":"Chen J, Chen H, Guo Y, Zhou M, Huang R, Mao C (2022) A novel test case generation approach for adaptive random testing of object-oriented software using k-means clustering technique. IEEE Trans Emerg Top Comput Intell 6:969\u2013981. https:\/\/doi.org\/10.1109\/TETCI.2021.3122511","journal-title":"IEEE Trans Emerg Top Comput Intell"},{"key":"1706_CR8","unstructured":"Conover WJ, Conover WJ (1980) Practical nonparametric statistics"},{"key":"1706_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107290","volume":"156","author":"X Dai","year":"2021","unstructured":"Dai X, Gong W, Gu Q (2021) Automated test case generation based on differential evolution with node branch archive. Comput Ind Eng 156:107290","journal-title":"Comput Ind Eng"},{"key":"1706_CR10","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9911986","author":"Z Dai","year":"2021","unstructured":"Dai Z, Chang X (2021) Predicting stock return with economic constraint: can interquartile range truncate the outliers? Math Probl Eng. https:\/\/doi.org\/10.1155\/2021\/9911986","journal-title":"Math Probl Eng"},{"key":"1706_CR11","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.robot.2014.11.005","volume":"71","author":"A Droniou","year":"2015","unstructured":"Droniou A, Ivaldi S, Sigaud O (2015) Deep unsupervised network for multimodal perception, representation and classification. Robot Auton Syst 71:83\u201398","journal-title":"Robot Auton Syst"},{"key":"1706_CR12","doi-asserted-by":"publisher","first-page":"983","DOI":"10.1090\/jams\/852","volume":"29","author":"C Fefferman","year":"2016","unstructured":"Fefferman C, Mitter S, Narayanan H (2016) Testing the manifold hypothesis. J Am Math Soc 29:983\u20131049","journal-title":"J Am Math Soc"},{"key":"1706_CR13","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1109\/TSE.2012.14","volume":"39","author":"G Fraser","year":"2013","unstructured":"Fraser G, Arcuri A (2013) Whole test suite generation. IEEE Trans Softw Eng 39:276\u2013291","journal-title":"IEEE Trans Softw Eng"},{"key":"1706_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104454","volume":"106","author":"C Gaocheng","year":"2021","unstructured":"Gaocheng C, Qinghua S, Zhongbo H (2021) Automated test case generation for path coverage by using grey prediction evolution algorithm with improved scatter search strategy. Eng Appl Artif Intell 106:104454. https:\/\/doi.org\/10.1016\/j.engappai.2021.104454","journal-title":"Eng Appl Artif Intell"},{"key":"1706_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107910","volume":"113","author":"C Gaocheng","year":"2021","unstructured":"Gaocheng C, Qinghua S, Zhongbo H (2021) Binary searching iterative algorithm for generating test cases to cover paths. Appl Soft Comput 113:107910. https:\/\/doi.org\/10.1016\/j.asoc.2021.107910","journal-title":"Appl Soft Comput"},{"key":"1706_CR16","doi-asserted-by":"crossref","unstructured":"Girgis MR, Ghiduk AS, Abd-Elkawy EH (2015) Automatic data flow test paths generation using the genetical swarm optimization technique. Int J Comput Appl 116","DOI":"10.5120\/20469-2324"},{"key":"1706_CR17","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1016\/j.jss.2011.06.028","volume":"84","author":"D Gong","year":"2011","unstructured":"Gong D, Zhang W, Yao X (2011) Evolutionary generation of test data for many paths coverage based on grouping. J Syst Softw 84:2222\u20132233","journal-title":"J Syst Softw"},{"key":"1706_CR18","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1002\/spe.2509","volume":"47","author":"H Gupta","year":"2017","unstructured":"Gupta H, Vahid Dastjerdi A, Ghosh SK, Buyya R (2017) ifogsim: a toolkit for modeling and simulation of resource management techniques in the internet of things, edge and fog computing environments. Softw Pract Exp 47:1275\u20131296","journal-title":"Softw Pract Exp"},{"key":"1706_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.108791","volume":"122","author":"H Hafsi","year":"2022","unstructured":"Hafsi H, Gharsellaoui H, Bouamama S (2022) Genetically-modified multi-objective particle swarm optimization approach for high-performance computing workflow scheduling. Appl Soft Comput 122:108791","journal-title":"Appl Soft Comput"},{"key":"1706_CR20","doi-asserted-by":"publisher","first-page":"5005","DOI":"10.1109\/TII.2018.2856881","volume":"14","author":"H Huang","year":"2018","unstructured":"Huang H, Liu F, Yang Z, Hao Z (2018) Automated test case generation based on differential evolution with relationship matrix for ifogsim toolkit. IEEE Trans Ind Inf 14:5005\u20135016","journal-title":"IEEE Trans Ind Inf"},{"key":"1706_CR21","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1109\/MCI.2017.2670462","volume":"12","author":"H Huang","year":"2017","unstructured":"Huang H, Liu F, Zhuo X, Hao Z (2017) Differential evolution based on self-adaptive fitness function for automated test case generation. IEEE Comput Intell Mag 12:46\u201355","journal-title":"IEEE Comput Intell Mag"},{"key":"1706_CR22","doi-asserted-by":"publisher","first-page":"69058","DOI":"10.1109\/ACCESS.2019.2918558","volume":"7","author":"S Jiang","year":"2019","unstructured":"Jiang S, Wang H, Zhang Y, Xue M, Qian J, Zhang M (2019) An approach for detecting infeasible paths based on a smt solver. IEEE Access 7:69058\u201369069. https:\/\/doi.org\/10.1109\/ACCESS.2019.2918558","journal-title":"IEEE Access"},{"key":"1706_CR23","doi-asserted-by":"crossref","unstructured":"Lemieux C, Inala JP, Lahiri SK, Sen S (2023) Codamosa: escaping coverage plateaus in test generation with pre-trained large language models. In: 2023 IEEE\/ACM 45th International Conference on Software Engineering (ICSE), IEEE. pp. 919\u2013931","DOI":"10.1109\/ICSE48619.2023.00085"},{"key":"1706_CR24","doi-asserted-by":"publisher","unstructured":"Li X, Feng B, Sun Y, Hawbani A, Hammod Alsamhi S, Zhao L (2024) Essent: an arithmetic optimization algorithm with enhanced scatter search strategy for automated test case generation. Inform Sci 656: 119915. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025523015001, https:\/\/doi.org\/10.1016\/j.ins.2023.119915","DOI":"10.1016\/j.ins.2023.119915"},{"key":"1706_CR25","doi-asserted-by":"publisher","first-page":"1075","DOI":"10.1109\/TETC.2021.3070968","volume":"10","author":"F Liu","year":"2022","unstructured":"Liu F, Huang H, Su J, Semujju SD, Yang Z, Hao Z (2022) Manifold-inspired search-based algorithm for automated test case generation. IEEE Trans Emerg Top Comput 10:1075\u20131090","journal-title":"IEEE Trans Emerg Top Comput"},{"key":"1706_CR26","doi-asserted-by":"publisher","first-page":"1922","DOI":"10.1360\/SST-2021-0365","volume":"53","author":"F Liu","year":"2023","unstructured":"Liu F, Huang H, Xiang Y, Hao Z (2023) Smart contract reentrancy vulnerability detection method based on manifold pigeon optimization algorithm (in Chinese). SCIENTIA SINICA Technol 53:1922\u20131938. https:\/\/doi.org\/10.1360\/SST-2021-0365","journal-title":"SCIENTIA SINICA Technol"},{"key":"1706_CR27","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1109\/TETCI.2019.2914280","volume":"5","author":"F Liu","year":"2021","unstructured":"Liu F, Huang H, Yang Z, Hao Z, Wang J (2021) Search-based algorithm with scatter search strategy for automated test case generation of nlp toolkit. IEEE Trans Emerg Topi Comput Intell 5:491\u2013503","journal-title":"IEEE Trans Emerg Topi Comput Intell"},{"key":"1706_CR28","doi-asserted-by":"publisher","first-page":"1400","DOI":"10.1109\/TC.2024.3365949","volume":"73","author":"L Ma","year":"2024","unstructured":"Ma L, Kang H, Yu G, Li Q, He Q (2024) Single-domain generalized predictor for neural architecture search system. IEEE Trans Comput 73:1400\u20131413. https:\/\/doi.org\/10.1109\/TC.2024.3365949","journal-title":"IEEE Trans Comput"},{"key":"1706_CR29","doi-asserted-by":"publisher","first-page":"3274","DOI":"10.1109\/TFUZZ.2024.3373792","volume":"32","author":"L Ma","year":"2024","unstructured":"Ma L, Li N, Zhu P, Tang K, Khan A, Wang F, Yu G (2024) A novel fuzzy neural network architecture search framework for defect recognition with uncertainties. IEEE Trans Fuzzy Syst 32:3274\u20133285. https:\/\/doi.org\/10.1109\/TFUZZ.2024.3373792","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1706_CR30","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1049\/iet-sen.2009.0079","volume":"4","author":"DJ Mala","year":"2010","unstructured":"Mala DJ, Mohan V, Kamalapriya M (2010) Automated software test optimisation framework\u2014an artificial bee colony optimisation-based approach. IET Softw 4:334\u2013348","journal-title":"IET Softw"},{"key":"1706_CR31","doi-asserted-by":"crossref","unstructured":"Manning CD, Surdeanu M, Bauer J, Finkel J, Bethard SJ, Mcclosky D (2014) The stanford corenlp natural language processing toolkit. In: Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55\u201360","DOI":"10.3115\/v1\/P14-5010"},{"key":"1706_CR32","doi-asserted-by":"crossref","unstructured":"Manning CD, Surdeanu M, Bauer J, Finkel JR, Bethard S, McClosky D (2014) The stanford corenlp natural language processing toolkit. In: Proceedings of 52nd Annual Meeting of the Association for computational linguistics: system demonstrations, pp. 55\u201360","DOI":"10.3115\/v1\/P14-5010"},{"key":"1706_CR33","doi-asserted-by":"crossref","unstructured":"McMinn P, Stevenson M, Harman M (2010) Reducing qualitative human oracle costs associated with automatically generated test data. In: Proceedings of the First International Workshop on Software Test Output Validation, ACM. pp. 1\u20134","DOI":"10.1145\/1868048.1868049"},{"key":"1706_CR34","doi-asserted-by":"publisher","unstructured":"Panichella A, Kifetew FM, Tonella P (2015) Reformulating branch coverage as a many-objective optimization problem. In: 2015 IEEE 8th International Conference on software testing, verification and validation (ICST), pp. 1\u201310. https:\/\/doi.org\/10.1109\/ICST.2015.7102604","DOI":"10.1109\/ICST.2015.7102604"},{"key":"1706_CR35","doi-asserted-by":"crossref","unstructured":"Panichella A, Kifetew FM, Tonella P (2018) Automated test case generation as a many-objective optimisation problem with dynamic selection of the targets. IEEE Trans Softw Eng 44:122\u2013158","DOI":"10.1109\/TSE.2017.2663435"},{"key":"1706_CR36","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-021-10059-5","author":"F Pecorelli","year":"2022","unstructured":"Pecorelli F, Catolino G, Ferrucci F, De Lucia A, Palomba F (2022) Software testing and android applications: a large-scale empirical study. Empir Softw Eng. https:\/\/doi.org\/10.1007\/s10664-021-10059-5","journal-title":"Empir Softw Eng"},{"key":"1706_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.104840","volume":"112","author":"S Qinghua","year":"2022","unstructured":"Qinghua S, Gaocheng C, Zhongbo H, Xianshan Y (2022) Test case generation using improved differential evolution algorithms with novel hypercube-based learning strategies. Eng Appl Artif Intell 112:104840. https:\/\/doi.org\/10.1016\/j.engappai.2022.104840","journal-title":"Eng Appl Artif Intell"},{"key":"1706_CR38","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.3390\/sym11091145","volume":"11","author":"S Rani","year":"2019","unstructured":"Rani S, Suri B, Goyal R (2019) On the effectiveness of using elitist genetic algorithm in mutation testing. Symmetry 11:1145","journal-title":"Symmetry"},{"key":"1706_CR39","doi-asserted-by":"publisher","DOI":"10.1145\/3446199","author":"S Scalabrino","year":"2021","unstructured":"Scalabrino S, Mastropaolo A, Bavota G, Oliveto R (2021) An adaptive search budget allocation approach for search-based test case generation. ACM Trans Softw Eng Methodol. https:\/\/doi.org\/10.1145\/3446199","journal-title":"ACM Trans Softw Eng Methodol"},{"key":"1706_CR40","doi-asserted-by":"crossref","unstructured":"Sch\u00e4fer M, Nadi S, Eghbali A, Tip F (2023) An empirical evaluation of using large language models for automated unit test generation. IEEE Trans Softw Eng","DOI":"10.1109\/TSE.2023.3334955"},{"key":"1706_CR41","unstructured":"Sooyoung C, Seongjoon H, Junhee L, Hakjoo O (2018) Automatically generating search heuristics for concolic testing. In: Proceedings of the 40th International Conference on Software Engineering, pp. 1244\u20131254"},{"key":"1706_CR42","doi-asserted-by":"crossref","unstructured":"Wei G, Jia S, Gao R, Deng H, Tan S, Bra\u010devac O, Rompf T (2023) Compiling parallel symbolic execution with continuations. In: 2023 IEEE\/ACM 45th International Conference on Software Engineering (ICSE), IEEE. pp. 1316\u20131328","DOI":"10.1109\/ICSE48619.2023.00116"},{"key":"1706_CR43","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1007\/s10664-019-09761-2","volume":"25","author":"Y Xiang","year":"2020","unstructured":"Xiang Y, Yang X, Zhou Y, Zheng Z, Li M, Huang H (2020) Going deeper with optimal software products selection using many-objective optimization and satisfiability solvers. Empir Softw Eng 25:591\u2013626. https:\/\/doi.org\/10.1007\/s10664-019-09761-2","journal-title":"Empir Softw Eng"},{"key":"1706_CR44","doi-asserted-by":"publisher","unstructured":"Zamli KZ, Din F, Kendall G, Ahmed BS (2017) An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation. Inform Sci 399:121\u2013153. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025517305820, https:\/\/doi.org\/10.1016\/j.ins.2017.03.007","DOI":"10.1016\/j.ins.2017.03.007"},{"key":"1706_CR45","doi-asserted-by":"publisher","first-page":"113","DOI":"10.14257\/ijmue.2015.10.6.11","volume":"10","author":"N Zhang","year":"2015","unstructured":"Zhang N, Wu B, Bao X (2015) Automatic generation of test cases based on multi-population genetic algorithm. Int J Multimedia Ubiquit Eng 10:113\u2013122","journal-title":"Int J Multimedia Ubiquit Eng"}],"container-title":["Complex & Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-024-01706-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40747-024-01706-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-024-01706-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T16:32:00Z","timestamp":1738945920000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40747-024-01706-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,15]]},"references-count":45,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["1706"],"URL":"https:\/\/doi.org\/10.1007\/s40747-024-01706-7","relation":{},"ISSN":["2199-4536","2198-6053"],"issn-type":[{"value":"2199-4536","type":"print"},{"value":"2198-6053","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,15]]},"assertion":[{"value":"17 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 December 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 January 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known com- peting financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"143"}}