{"title":"识别提取方法重构","authors":"Omkarendra Tiwari, R. Joshi","doi":"10.1145/3511430.3511435","DOIUrl":null,"url":null,"abstract":"Extract method refactoring identifies and extracts a set of statements implementing a specific functionality within a method. Its application enhances the structure of code and provides improved readability and reusability. This paper introduces Segmentation, a new approach for identifying extract method opportunities focusing on achieving higher performance with fewer suggestions. Evaluation of the approach includes six case studies from the open-source domain, and performance is compared against two state-of-the-art approaches. The findings suggest that Segmentation provides improved precision and F measure over both the approaches. Further, improved performance is reflected over long methods too.","PeriodicalId":138760,"journal":{"name":"15th Innovations in Software Engineering Conference","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Identifying Extract Method Refactorings\",\"authors\":\"Omkarendra Tiwari, R. Joshi\",\"doi\":\"10.1145/3511430.3511435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Extract method refactoring identifies and extracts a set of statements implementing a specific functionality within a method. Its application enhances the structure of code and provides improved readability and reusability. This paper introduces Segmentation, a new approach for identifying extract method opportunities focusing on achieving higher performance with fewer suggestions. Evaluation of the approach includes six case studies from the open-source domain, and performance is compared against two state-of-the-art approaches. The findings suggest that Segmentation provides improved precision and F measure over both the approaches. Further, improved performance is reflected over long methods too.\",\"PeriodicalId\":138760,\"journal\":{\"name\":\"15th Innovations in Software Engineering Conference\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"15th Innovations in Software Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3511430.3511435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th Innovations in Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3511430.3511435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extract method refactoring identifies and extracts a set of statements implementing a specific functionality within a method. Its application enhances the structure of code and provides improved readability and reusability. This paper introduces Segmentation, a new approach for identifying extract method opportunities focusing on achieving higher performance with fewer suggestions. Evaluation of the approach includes six case studies from the open-source domain, and performance is compared against two state-of-the-art approaches. The findings suggest that Segmentation provides improved precision and F measure over both the approaches. Further, improved performance is reflected over long methods too.