{"title":"使用聚类集成自动推荐移动方法重构","authors":"T. Bryksin, Evgenii Novozhilov, A. Shpilman","doi":"10.1145/3242163.3242171","DOIUrl":null,"url":null,"abstract":"In this paper, we are approaching the problem of automatic refactoring recommendation for object-oriented systems. An approach based on clustering ensembles is proposed, several heuristics to existing algorithms and to filtering and combining their results are discussed. Experimental validation of the proposed approach on an open source project is presented. The obtained preliminary results illustrate that the introduced approach could be successfully used to improve existing integrated development environments, providing developers with one more tool to reduce the complexity of their projects. The paper concludes with a discussion on the applicability of such automatic refactoring recommendation approaches to real-world software developed using common object-oriented techniques.","PeriodicalId":404412,"journal":{"name":"Proceedings of the 2nd International Workshop on Refactoring","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Automatic recommendation of move method refactorings using clustering ensembles\",\"authors\":\"T. Bryksin, Evgenii Novozhilov, A. Shpilman\",\"doi\":\"10.1145/3242163.3242171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we are approaching the problem of automatic refactoring recommendation for object-oriented systems. An approach based on clustering ensembles is proposed, several heuristics to existing algorithms and to filtering and combining their results are discussed. Experimental validation of the proposed approach on an open source project is presented. The obtained preliminary results illustrate that the introduced approach could be successfully used to improve existing integrated development environments, providing developers with one more tool to reduce the complexity of their projects. The paper concludes with a discussion on the applicability of such automatic refactoring recommendation approaches to real-world software developed using common object-oriented techniques.\",\"PeriodicalId\":404412,\"journal\":{\"name\":\"Proceedings of the 2nd International Workshop on Refactoring\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Workshop on Refactoring\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3242163.3242171\",\"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 2nd International Workshop on Refactoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3242163.3242171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic recommendation of move method refactorings using clustering ensembles
In this paper, we are approaching the problem of automatic refactoring recommendation for object-oriented systems. An approach based on clustering ensembles is proposed, several heuristics to existing algorithms and to filtering and combining their results are discussed. Experimental validation of the proposed approach on an open source project is presented. The obtained preliminary results illustrate that the introduced approach could be successfully used to improve existing integrated development environments, providing developers with one more tool to reduce the complexity of their projects. The paper concludes with a discussion on the applicability of such automatic refactoring recommendation approaches to real-world software developed using common object-oriented techniques.