{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T22:47:41Z","timestamp":1768430861033,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":72,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,15]],"date-time":"2023-04-15T00:00:00Z","timestamp":1681516800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["Ti 803\/4-1"],"award-info":[{"award-number":["Ti 803\/4-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,15]]},"DOI":"10.1145\/3578244.3583727","type":"proceedings-article","created":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T22:08:41Z","timestamp":1680127721000},"page":"77-89","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Predicting the Performance of ATL Model Transformations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8744-9203","authenticated-orcid":false,"given":"Raffaela","family":"Groner","sequence":"first","affiliation":[{"name":"Ulm University, Ulm, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0182-4469","authenticated-orcid":false,"given":"Peter","family":"Bellmann","sequence":"additional","affiliation":[{"name":"Ulm University, Ulm, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7028-131X","authenticated-orcid":false,"given":"Stefan","family":"H\u00f6ppner","sequence":"additional","affiliation":[{"name":"Ulm University, Ulm, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6769-8410","authenticated-orcid":false,"given":"Patrick","family":"Thiam","sequence":"additional","affiliation":[{"name":"Ulm University, Ulm, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5118-0812","authenticated-orcid":false,"given":"Friedhelm","family":"Schwenker","sequence":"additional","affiliation":[{"name":"Ulm University, Ulm, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9067-3748","authenticated-orcid":false,"given":"Matthias","family":"Tichy","sequence":"additional","affiliation":[{"name":"Ulm University, Ulm, Germany"}]}],"member":"320","published-online":{"date-parts":[[2023,4,15]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"EMF: Eclipse Modeling Framework. xxix, 704","unstructured":"2008. EMF: Eclipse Modeling Framework. xxix, 704 p."},{"key":"e_1_3_2_1_2_1","unstructured":"2022. Java Microbenchmark Harness (JMH). https:\/\/github.com\/openjdk\/jmh Accessed: 19.10.2022."},{"key":"e_1_3_2_1_3_1","unstructured":"Chris Albon. 2018. Machine learning with Python cookbook: practical solutions from preprocessing to deep learning. https:\/\/learning.oreilly.com\/library\/view\/-\/9781491989371\/?ar 1 online resource (1 volume)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--540--75209--7_30"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--540--89020--1_32"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/prs.680220103"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1216993.1217006"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI47803.2020.9308279"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--319--89629--8_4"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0--12--809633--8.20349-X"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/10864415.1997.11518297"},{"key":"e_1_3_2_1_13_1","unstructured":"Andr\u00e9 B. Bondi. 2014. Foundations of Software and System Performance Engineering: Process Performance Modeling Requirements Testing Scalability and Practice. Pearson Education."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3239372.3239386"},{"key":"e_1_3_2_1_15_1","volume-title":"Python Data Science Essentials","author":"Boschetti Alberto","unstructured":"Alberto Boschetti and Luca Massaron. 2016. Python Data Science Essentials. Packt Publishing."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_17_1","unstructured":"Leo Breiman J. H. Friedman R. A. Olshen and C. J. Stone. 1984. Classification and Regression Trees. Wadsworth."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--642--35743--5_6"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/276305.276337"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2012.6227055"},{"key":"e_1_3_2_1_21_1","unstructured":"Eclipse. 2020. ATL Transformations. https:\/\/www.eclipse.org\/atl\/atlTransformations\/ Accessed: 19.10.2022."},{"key":"e_1_3_2_1_22_1","volume-title":"Proc. of NasBASE","author":"Fleck Martin","year":"2015","unstructured":"Martin Fleck, Javier Troya, and Manuel Wimmer. 2015. Marrying search-based optimization and model transformation technology. Proc. of NasBASE (2015), 1--16."},{"key":"e_1_3_2_1_23_1","unstructured":"Lars Fritsche Erhan Leblebici Anthony Anjorin and Andy Sch\u00fcrr. 2017. A Look- Ahead Strategy for Rule-Based Model Transformations. In MODELS (Satellite Events). 45--53."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14279\/tuj.eceasst.18.268"},{"key":"e_1_3_2_1_25_1","unstructured":"Inc. GitHub. 2021. Search. https:\/\/docs.github.com\/en\/rest\/reference\/search Accessed: 19.10.2022."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1183512.1183523"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10270-020-00815--4"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3365438.3410950"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","unstructured":"Raffaela Groner Luis Beaucamp Matthias Tichy and Steffen Becker. 2020. An Exploratory Study on Performance Engineering in Model Transformations: Data of the mixed method study. https:\/\/doi.org\/10.18725\/OPARU-32365","DOI":"10.18725\/OPARU-32365"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","unstructured":"Raffaela Groner Peter Bellmann Stefan H\u00f6ppner Patrick Thiam Friedhelm Schwenker and Matthias Tichy. 2023. Data Set for Predicting the Performance of ATL Model Transformations. https:\/\/doi.org\/10.5281\/zenodo.7597582","DOI":"10.5281\/zenodo.7597582"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3417990.3422000"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","unstructured":"Raffaela Groner Katharina Juhnke Stefan G\u00f6tz Matthias Tichy Steffen Becker Vijayshree Vijayshree and Sebastian Frank. 2021. A Survey on the Relevance of the Performance of Model Transformations: Data of the Participant Search and the Questionnaire. https:\/\/doi.org\/10.18725\/OPARU-38188","DOI":"10.18725\/OPARU-38188"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3185768.3186305"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.14778\/3402707.3402746"},{"key":"e_1_3_2_1_35_1","volume-title":"et al","author":"Hsu Chih-Wei","year":"2003","unstructured":"Chih-Wei Hsu, Chih-Chung Chang, Chih-Jen Lin, et al . 2003. A practical guide to support vector classification."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/11889205_17"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.1996.10473566"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/11549468_24"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scico.2007.08.002"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/11768869_14"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--981--16--8193--6"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--642--28279--9_15"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","unstructured":"Stefan K\u00f6gel and Matthias Tichy. 2018. Dataset of EMF Models from Eclipse Projects. https:\/\/doi.org\/10.18725\/OPARU-9850","DOI":"10.18725\/OPARU-9850"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3-030--81935--4"},{"key":"e_1_3_2_1_45_1","volume-title":"Combining Pattern Classifiers: Methods and Algorithms","author":"Kuncheva Ludmila I.","unstructured":"Ludmila I. Kuncheva. 2014. Combining Pattern Classifiers: Methods and Algorithms. John Wiley & Sons."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10270-016-0523--3"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2019.00028"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10009-010-0151-0"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.12.114"},{"key":"e_1_3_2_1_51_1","unstructured":"(OMG) Object Management Group. 2016. Meta Object Facility (MOF) 2.0 Query\/View\/Transformation Specification Version 1.3. https:\/\/www.omg.org\/spec\/QVT\/1.3\/PDF Accessed: 19.10.2022."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--319--55252--1"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.1988.11929"},{"key":"e_1_3_2_1_55_1","volume-title":"Proceedings of the 2nd International Workshop on Model Transformation with ATL. Citeseer. Citeseer.","author":"Piers William","year":"2010","unstructured":"William Piers. 2010. ATL 3.1--Industrialization improvements. In Proceedings of the 2nd International Workshop on Model Transformation with ATL. Citeseer. Citeseer."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIIBMS.2018.8550030"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1301"},{"key":"e_1_3_2_1_58_1","volume-title":"The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch. Packt Publishing.","author":"Saleh Hyatt","year":"2020","unstructured":"Hyatt Saleh. 2020. The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch. Packt Publishing."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--319--61470-0_12"},{"key":"e_1_3_2_1_60_1","volume-title":"Machine Learning and Data Science Blueprints for Finance","author":"Tatsat Hariom","unstructured":"Hariom Tatsat, Sahil Puri, and Brad Lookabaugh. 2020. Machine Learning and Data Science Blueprints for Finance. O'Reilly Media."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2892090"},{"key":"e_1_3_2_1_62_1","volume-title":"Detecting Performance Bad Smells for Henshin Model Transformations. Amt@ models 1077","author":"Tichy Matthias","year":"2013","unstructured":"Matthias Tichy, Christian Krause, and Grischa Liebel. 2013. Detecting Performance Bad Smells for Henshin Model Transformations. Amt@ models 1077 (2013)."},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--642--21732--6_14"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.5555\/211359"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1007\/11880240_29"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10270-016-0530--4"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--642--30476--7_15"},{"key":"e_1_3_2_1_68_1","volume-title":"13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16)","author":"Venkataraman Shivaram","year":"2016","unstructured":"Shivaram Venkataraman, Zongheng Yang, Michael Franklin, Benjamin Recht, and Ion Stoica. 2016. Ernest: Efficient performance prediction for large-scale advanced analytics. In 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16). 363--378."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3375555.3384935"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--540--30175--2_16"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--662--44871--7_5"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-4625-2"}],"event":{"name":"ICPE '23: ACM\/SPEC International Conference on Performance Engineering","location":"Coimbra Portugal","acronym":"ICPE '23","sponsor":["SIGMETRICS ACM Special Interest Group on Measurement and Evaluation","SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 2023 ACM\/SPEC International Conference on Performance Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3578244.3583727","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3578244.3583727","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:20Z","timestamp":1750182560000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3578244.3583727"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,15]]},"references-count":72,"alternative-id":["10.1145\/3578244.3583727","10.1145\/3578244"],"URL":"https:\/\/doi.org\/10.1145\/3578244.3583727","relation":{},"subject":[],"published":{"date-parts":[[2023,4,15]]},"assertion":[{"value":"2023-04-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}