Maxime Savary-Leblanc , Xavier Le Pallec , Sébastien Gérard
{"title":"建模助手推荐器:UML 类图推荐系统","authors":"Maxime Savary-Leblanc , Xavier Le Pallec , Sébastien Gérard","doi":"10.1016/j.scico.2024.103090","DOIUrl":null,"url":null,"abstract":"<div><p>IDEs are in full mutation thanks to more and more intelligent code completion and validation functionalities. These intelligent features also facilitate the creation of new ways of programming such as low-code or no-code. In the meantime, modeling environments still suffer, for the most part, from their outdated interfaces, their too basic features, or their lack of usability. Our research work on the topic of modeling assistance has led to the creation of a first building block to initiate a revolution similar to development environments in the landscape of modeling. In this paper, we present the Modeling Assistant Recommender, a score-based multi-criteria recommendation system for class diagrams.</p></div>","PeriodicalId":49561,"journal":{"name":"Science of Computer Programming","volume":"234 ","pages":"Article 103090"},"PeriodicalIF":1.5000,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Modeling Assistant Recommender: A UML class diagram recommender system\",\"authors\":\"Maxime Savary-Leblanc , Xavier Le Pallec , Sébastien Gérard\",\"doi\":\"10.1016/j.scico.2024.103090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>IDEs are in full mutation thanks to more and more intelligent code completion and validation functionalities. These intelligent features also facilitate the creation of new ways of programming such as low-code or no-code. In the meantime, modeling environments still suffer, for the most part, from their outdated interfaces, their too basic features, or their lack of usability. Our research work on the topic of modeling assistance has led to the creation of a first building block to initiate a revolution similar to development environments in the landscape of modeling. In this paper, we present the Modeling Assistant Recommender, a score-based multi-criteria recommendation system for class diagrams.</p></div>\",\"PeriodicalId\":49561,\"journal\":{\"name\":\"Science of Computer Programming\",\"volume\":\"234 \",\"pages\":\"Article 103090\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-02-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of Computer Programming\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167642324000133\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of Computer Programming","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167642324000133","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
The Modeling Assistant Recommender: A UML class diagram recommender system
IDEs are in full mutation thanks to more and more intelligent code completion and validation functionalities. These intelligent features also facilitate the creation of new ways of programming such as low-code or no-code. In the meantime, modeling environments still suffer, for the most part, from their outdated interfaces, their too basic features, or their lack of usability. Our research work on the topic of modeling assistance has led to the creation of a first building block to initiate a revolution similar to development environments in the landscape of modeling. In this paper, we present the Modeling Assistant Recommender, a score-based multi-criteria recommendation system for class diagrams.
期刊介绍:
Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design.
The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice.
The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including
• Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software;
• Design, implementation and evaluation of programming languages;
• Programming environments, development tools, visualisation and animation;
• Management of the development process;
• Human factors in software, software for social interaction, software for social computing;
• Cyber physical systems, and software for the interaction between the physical and the machine;
• Software aspects of infrastructure services, system administration, and network management.