{"title":"在需求工程中表示知识:对软件工程师需要知道什么的实证研究","authors":"Eiji Kuwana, J. Herbsleb","doi":"10.1109/ISRE.1993.324846","DOIUrl":null,"url":null,"abstract":"The selection and structuring of requirements engineering data necessitates an empirical prediction about the future utility of the selected data and of the retrieval paths available in the structure. In order to investigate these predictions, the questions asked by software engineers at software requirements and preliminary design meetings are analyzed. It is assumed that the kinds of information elicited by these questions are good indicators of what data would be most useful. Results lend support to systems that focus on the developing artifact itself, and indicate the importance of user scenarios.<<ETX>>","PeriodicalId":375368,"journal":{"name":"[1993] Proceedings of the IEEE International Symposium on Requirements Engineering","volume":"287 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Representing knowledge in requirements engineering: an empirical study of what software engineers need to know\",\"authors\":\"Eiji Kuwana, J. Herbsleb\",\"doi\":\"10.1109/ISRE.1993.324846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The selection and structuring of requirements engineering data necessitates an empirical prediction about the future utility of the selected data and of the retrieval paths available in the structure. In order to investigate these predictions, the questions asked by software engineers at software requirements and preliminary design meetings are analyzed. It is assumed that the kinds of information elicited by these questions are good indicators of what data would be most useful. Results lend support to systems that focus on the developing artifact itself, and indicate the importance of user scenarios.<<ETX>>\",\"PeriodicalId\":375368,\"journal\":{\"name\":\"[1993] Proceedings of the IEEE International Symposium on Requirements Engineering\",\"volume\":\"287 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993] Proceedings of the IEEE International Symposium on Requirements Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISRE.1993.324846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings of the IEEE International Symposium on Requirements Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISRE.1993.324846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Representing knowledge in requirements engineering: an empirical study of what software engineers need to know
The selection and structuring of requirements engineering data necessitates an empirical prediction about the future utility of the selected data and of the retrieval paths available in the structure. In order to investigate these predictions, the questions asked by software engineers at software requirements and preliminary design meetings are analyzed. It is assumed that the kinds of information elicited by these questions are good indicators of what data would be most useful. Results lend support to systems that focus on the developing artifact itself, and indicate the importance of user scenarios.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
![[1993] Proceedings of the IEEE International Symposium on Requirements Engineering](/Content/css/sci/img/zetp.jpg)
求助内容：
应助结果提醒方式：
扫码关注我们
