{"title":"调查学生在代码重构中的错误","authors":"Eduardo Oliveira","doi":"10.1145/3587103.3594146","DOIUrl":null,"url":null,"abstract":"Learning to develop code of good quality is challenging. One way to improve code quality is through code refactoring. Students make several mistakes when refactoring code. This research project aims to comprehend student errors in code refactoring, as well as to evaluate how the use of automated tools can help students remediate these errors.","PeriodicalId":366365,"journal":{"name":"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating Student Errors in Code Refactoring\",\"authors\":\"Eduardo Oliveira\",\"doi\":\"10.1145/3587103.3594146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Learning to develop code of good quality is challenging. One way to improve code quality is through code refactoring. Students make several mistakes when refactoring code. This research project aims to comprehend student errors in code refactoring, as well as to evaluate how the use of automated tools can help students remediate these errors.\",\"PeriodicalId\":366365,\"journal\":{\"name\":\"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3587103.3594146\",\"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 2023 Conference on Innovation and Technology in Computer Science Education V. 2","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3587103.3594146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning to develop code of good quality is challenging. One way to improve code quality is through code refactoring. Students make several mistakes when refactoring code. This research project aims to comprehend student errors in code refactoring, as well as to evaluate how the use of automated tools can help students remediate these errors.
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