{"title":"Melanee和DLM:对MULTI协作比较挑战的贡献","authors":"Thomas Kühne, A. Lange","doi":"10.1145/3550356.3561571","DOIUrl":null,"url":null,"abstract":"Responding to the MULTI 2022 Collaborative Comparison Challenge, whose purpose is to promote cross-fertilization between multi-level modeling approaches, we compare Melanee- and DLM-based solutions. We first present each approach and solution separately, and then discuss their strengths and weaknesses.","PeriodicalId":182662,"journal":{"name":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Melanee and DLM: a contribution to the MULTI collaborative comparison challenge\",\"authors\":\"Thomas Kühne, A. Lange\",\"doi\":\"10.1145/3550356.3561571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Responding to the MULTI 2022 Collaborative Comparison Challenge, whose purpose is to promote cross-fertilization between multi-level modeling approaches, we compare Melanee- and DLM-based solutions. We first present each approach and solution separately, and then discuss their strengths and weaknesses.\",\"PeriodicalId\":182662,\"journal\":{\"name\":\"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3550356.3561571\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3550356.3561571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Melanee and DLM: a contribution to the MULTI collaborative comparison challenge
Responding to the MULTI 2022 Collaborative Comparison Challenge, whose purpose is to promote cross-fertilization between multi-level modeling approaches, we compare Melanee- and DLM-based solutions. We first present each approach and solution separately, and then discuss their strengths and weaknesses.