{"title":"海报:测量Android开源项目中开发者的情绪","authors":"Toufique Ahmed","doi":"10.1145/2938559.2948838","DOIUrl":null,"url":null,"abstract":"Sentiments have a high impact on productivity, task quality, task synchronization and job satisfaction of a highly collaborative activity where a group of people communicates through different communication channels (i.e., code reviews, bug comments, mailing list). In this research, we try to investigate how we can predict the sentiments of Android developers accurately and how those emotions can potentially influence communication/ collaborations between a communicating pair and ultimately influence project outcome.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Poster: Measuring Developers' Sentiments in the Android Open Source Project\",\"authors\":\"Toufique Ahmed\",\"doi\":\"10.1145/2938559.2948838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sentiments have a high impact on productivity, task quality, task synchronization and job satisfaction of a highly collaborative activity where a group of people communicates through different communication channels (i.e., code reviews, bug comments, mailing list). In this research, we try to investigate how we can predict the sentiments of Android developers accurately and how those emotions can potentially influence communication/ collaborations between a communicating pair and ultimately influence project outcome.\",\"PeriodicalId\":298684,\"journal\":{\"name\":\"MobiSys '16 Companion\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MobiSys '16 Companion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2938559.2948838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MobiSys '16 Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2938559.2948838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: Measuring Developers' Sentiments in the Android Open Source Project
Sentiments have a high impact on productivity, task quality, task synchronization and job satisfaction of a highly collaborative activity where a group of people communicates through different communication channels (i.e., code reviews, bug comments, mailing list). In this research, we try to investigate how we can predict the sentiments of Android developers accurately and how those emotions can potentially influence communication/ collaborations between a communicating pair and ultimately influence project outcome.
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