软件需求说明文档的情感能告诉我们什么?

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI:10.1109/REW.2019.00022

Colin M. Werner, Ze Shi Li, Neil A. Ernst

{"title":"软件需求说明文档的情感能告诉我们什么?","authors":"Colin M. Werner, Ze Shi Li, Neil A. Ernst","doi":"10.1109/REW.2019.00022","DOIUrl":null,"url":null,"abstract":"Sentiment analysis tools are becoming increasingly more prevalent in the software engineering research community. In this data showcase paper, we present a set of twenty-two software requirements specification (SRS) documents that have been preprocessed and subsequently analyzed using the Senti4SD sentiment analysis tool. As part of our preliminary research, we compared the result of the sentiment analysis of the SRS documents and other non-related documents and found that the SRS documents were 6% more neutral than other non-related documents. Finally, we also present a number of research questions that we believe the research community might be able to answer using our published data.","PeriodicalId":166923,"journal":{"name":"2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"What Can the Sentiment of a Software Requirements Specification Document Tell Us?\",\"authors\":\"Colin M. Werner, Ze Shi Li, Neil A. Ernst\",\"doi\":\"10.1109/REW.2019.00022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sentiment analysis tools are becoming increasingly more prevalent in the software engineering research community. In this data showcase paper, we present a set of twenty-two software requirements specification (SRS) documents that have been preprocessed and subsequently analyzed using the Senti4SD sentiment analysis tool. As part of our preliminary research, we compared the result of the sentiment analysis of the SRS documents and other non-related documents and found that the SRS documents were 6% more neutral than other non-related documents. Finally, we also present a number of research questions that we believe the research community might be able to answer using our published data.\",\"PeriodicalId\":166923,\"journal\":{\"name\":\"2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/REW.2019.00022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REW.2019.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

情感分析工具在软件工程研究社区中变得越来越普遍。在这篇数据展示论文中，我们展示了一组22个软件需求规范(SRS)文档，这些文档已经过预处理，随后使用Senti4SD情感分析工具进行分析。作为我们初步研究的一部分，我们比较了SRS文档和其他非相关文档的情感分析结果，发现SRS文档比其他非相关文档中立性高6%。最后，我们还提出了一些研究问题，我们相信研究界可以使用我们发表的数据来回答这些问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

What Can the Sentiment of a Software Requirements Specification Document Tell Us?

Sentiment analysis tools are becoming increasingly more prevalent in the software engineering research community. In this data showcase paper, we present a set of twenty-two software requirements specification (SRS) documents that have been preprocessed and subsequently analyzed using the Senti4SD sentiment analysis tool. As part of our preliminary research, we compared the result of the sentiment analysis of the SRS documents and other non-related documents and found that the SRS documents were 6% more neutral than other non-related documents. Finally, we also present a number of research questions that we believe the research community might be able to answer using our published data.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)

自引率

0.00%

发文量