{"title":"大型项目软件工程课程中群体沟通模式的案例研究","authors":"Bonnie K. MacKellar","doi":"10.1109/CSEET.2012.21","DOIUrl":null,"url":null,"abstract":"Effective communication among members of a software development team is considered to be a critical factor in the success of software projects. Social network analysis is a promising way to analyze communication patterns that has been used in a number of studies of professional software development teams. In this paper, we present preliminary data on communication events collected in a software engineering course and analyze it on a number of measures including basic social network measures. Successful groups are compared to an unsuccessful group on these measures. This is a work in progress report of a project to use social network analysis as a means of studying communication patterns among software engineering students, in order to improve teaching strategies.","PeriodicalId":385043,"journal":{"name":"2012 IEEE 25th Conference on Software Engineering Education and Training","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A Case Study of Group Communication Patterns in a Large Project Software Engineering Course\",\"authors\":\"Bonnie K. MacKellar\",\"doi\":\"10.1109/CSEET.2012.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Effective communication among members of a software development team is considered to be a critical factor in the success of software projects. Social network analysis is a promising way to analyze communication patterns that has been used in a number of studies of professional software development teams. In this paper, we present preliminary data on communication events collected in a software engineering course and analyze it on a number of measures including basic social network measures. Successful groups are compared to an unsuccessful group on these measures. This is a work in progress report of a project to use social network analysis as a means of studying communication patterns among software engineering students, in order to improve teaching strategies.\",\"PeriodicalId\":385043,\"journal\":{\"name\":\"2012 IEEE 25th Conference on Software Engineering Education and Training\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 25th Conference on Software Engineering Education and Training\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSEET.2012.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 25th Conference on Software Engineering Education and Training","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSEET.2012.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Case Study of Group Communication Patterns in a Large Project Software Engineering Course
Effective communication among members of a software development team is considered to be a critical factor in the success of software projects. Social network analysis is a promising way to analyze communication patterns that has been used in a number of studies of professional software development teams. In this paper, we present preliminary data on communication events collected in a software engineering course and analyze it on a number of measures including basic social network measures. Successful groups are compared to an unsuccessful group on these measures. This is a work in progress report of a project to use social network analysis as a means of studying communication patterns among software engineering students, in order to improve teaching strategies.