{"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}
引用次数: 3
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.
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