{"title":"在软件开发PBL中开发脚本，将不同平台的文档检查注释聚合到GitHub中","authors":"Oh Sato, A. Hazeyama","doi":"10.1109/CSEET58097.2023.00042","DOIUrl":null,"url":null,"abstract":"This study regards inspections conducted in project-based learning (PBL) for software development as learning feedback. To solve the problem that inspection comments are distributed separately across platforms, which is an obstacle to classification of comments, we develop a script, Comment Gatherer, which aggregates inspection comments between GitHub and Figma. Then, we describe the concept of a support application that enables the automatic classification of inspection comments by machine learning.","PeriodicalId":256885,"journal":{"name":"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a script to aggregate document inspection comments across different platforms to GitHub in a software development PBL\",\"authors\":\"Oh Sato, A. Hazeyama\",\"doi\":\"10.1109/CSEET58097.2023.00042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study regards inspections conducted in project-based learning (PBL) for software development as learning feedback. To solve the problem that inspection comments are distributed separately across platforms, which is an obstacle to classification of comments, we develop a script, Comment Gatherer, which aggregates inspection comments between GitHub and Figma. Then, we describe the concept of a support application that enables the automatic classification of inspection comments by machine learning.\",\"PeriodicalId\":256885,\"journal\":{\"name\":\"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSEET58097.2023.00042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSEET58097.2023.00042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a script to aggregate document inspection comments across different platforms to GitHub in a software development PBL
This study regards inspections conducted in project-based learning (PBL) for software development as learning feedback. To solve the problem that inspection comments are distributed separately across platforms, which is an obstacle to classification of comments, we develop a script, Comment Gatherer, which aggregates inspection comments between GitHub and Figma. Then, we describe the concept of a support application that enables the automatic classification of inspection comments by machine learning.
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