Utilizing Rule Deviations in IT Ecosystems for Implicit Requirements Elicitation

Leif Singer, Olesia Brill, Sebastian Meyer, K. Schneider
{"title":"Utilizing Rule Deviations in IT Ecosystems for Implicit Requirements Elicitation","authors":"Leif Singer, Olesia Brill, Sebastian Meyer, K. Schneider","doi":"10.1109/MARK.2009.14","DOIUrl":null,"url":null,"abstract":"IT ecosystems are ultralargescale software systems that consist of various, constantly interacting and partly autonomous subsystems as well as the users of the overall system. Because of their strong integration with everyday life, these systems are often not even perceived as IT systems by its users. This is a problem for requirements engineering, as users might not know of or may not be interested in the capabilities of the system at all. This hinders the ongoing development of the system and might prevent new kinds of utilization and new business models from being realized. By introducing rules into the infrastructure of IT ecosystems that are being monitored for adherence by agents interacting in the system, deviations from these rules can be harnessed for finding potential candidates for new or changed requirements. The deviations can be processed using techniques like data mining and pattern recognition and then forwarded to requirements engineers for review. They may then leverage these implicitly expressed requirements to identify actual changes in the needs of the users of the systems, enabling further advancements of the IT ecosystem.","PeriodicalId":143105,"journal":{"name":"2009 Second International Workshop on Managing Requirements Knowledge","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Workshop on Managing Requirements Knowledge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MARK.2009.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

IT ecosystems are ultralargescale software systems that consist of various, constantly interacting and partly autonomous subsystems as well as the users of the overall system. Because of their strong integration with everyday life, these systems are often not even perceived as IT systems by its users. This is a problem for requirements engineering, as users might not know of or may not be interested in the capabilities of the system at all. This hinders the ongoing development of the system and might prevent new kinds of utilization and new business models from being realized. By introducing rules into the infrastructure of IT ecosystems that are being monitored for adherence by agents interacting in the system, deviations from these rules can be harnessed for finding potential candidates for new or changed requirements. The deviations can be processed using techniques like data mining and pattern recognition and then forwarded to requirements engineers for review. They may then leverage these implicitly expressed requirements to identify actual changes in the needs of the users of the systems, enabling further advancements of the IT ecosystem.
利用IT生态系统中的规则偏差进行隐性需求提取
IT生态系统是超大规模的软件系统,由各种不断交互和部分自治的子系统以及整个系统的用户组成。由于这些系统与日常生活的紧密集成,用户通常甚至不会将其视为IT系统。这对于需求工程来说是一个问题,因为用户可能根本不知道或者对系统的功能不感兴趣。这阻碍了系统的持续发展,并可能阻止新类型的利用和新业务模型的实现。通过将规则引入到IT生态系统的基础设施中,系统中交互的代理正在监视这些规则的遵守情况,可以利用这些规则的偏差来寻找新的或更改的需求的潜在候选。偏差可以使用数据挖掘和模式识别等技术进行处理,然后转发给需求工程师进行审查。然后,他们可以利用这些隐式表达的需求来识别系统用户需求中的实际变化,从而支持IT生态系统的进一步发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信