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Social network sites and requirements engineering: A systematic literature review

机译:社交网站和需求工程:系统文献综述

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摘要

A large volume of highly diverse and real-time data provided by social network sites has revolutionized several data analytical sciences such as stock exchange fluctuation prediction, sentiment analysis, and political affiliations prediction. From a software engineering viewpoint, social network sites have produced an unprecedented opportunity for software development organizations to monitor the opinion of the large population of users of their systems. The extracted data from social network sites can be used to extract information about newly launched systems, and it enable software development organizations to obtain rapid technical and social feedback about their systems. This paper presents on a systematic literature review of the published research articles on how requirements engineering (RE) activities are conducted using social network sites, elaborated in studies published between 2011 and 2019. From the resulting studies, we extracted data to answer our four questions related to social network site (SNS)-based RE approaches focusing on requirements elicitation, prioritization, and negotiation activities. Thirty-one relevant studies were identified and analyzed to answer our research questions. Among 31 studies, 62% of the studies reportedly support requirements elicitation activity, and 14% of the studies reportedly support requirements elicitation, prioritization, and negotiation activities. Ten percent studies were about requirements elicitation and prioritization activities, 7% of the studies support both requirements elicitation and negotiation activities, and prioritization activity was supported by 7% of the studies. It was also observed that 58% of the selected studies adopted semi-automatic approaches to conduct RE activities while 21% of the selected studies proposed automatic tools, and 21% of the selected studies adopted manual approaches to conduct RE activities. The outcomes of this systematic literature review indicate that social network sites can be a major source that can be used successfully to extract and identify user requirements. Moreover, this systematic literature review also presents implications of this study for practitioners and researchers including challenges, unresolved issues, and future research directions.
机译:大体积社交网站提供高度多样化和实时数据,已经彻底改变了一些数据分析科学,如证券交易所波动的预估,情感分析,和政治背景的预测。从软件工程的角度来看,社交网站已经为软件开发组织监察人口众多的系统的用户的意见了前所未有的机遇。从社交网络站点提取的数据可以用来关于新推出的系统中提取信息,并且使软件开发组织,以获取有关他们的系统快速的技术和社会反馈。关于如何要求工程发表的研究文章进行了系统的文献综述本文礼物(RE)活动都使用社交网站进行的,在2011年和2019年之间出版的从结果研究研究阐述,我们提取的数据来回答我们的四个问题与社交网站(SNS)为基础的RE方法侧重于需求获取,优先级和洽谈活动。三十一相关研究进行鉴定和分析,以回答我们研究的问题。其中31项研究,这些研究的62%,据报道,支持需求启发活动,以及研究的14%,据报道,支持需求获取,优先级和洽谈活动。百分之十的研究是关于需求获取和优先活动,这些研究的7%,同时支持需求获取和洽谈活动,并优先活动是由研究的7%的人支持。还观察到的是,选定的研究的58%通过的半自动方法而选定的研究的21%提出自动工具来进行RE活动,并且所选择的研究的21%通过的手动方法来进行RE活动。这个系统的文献回顾的结果表明,社交网站可以是可以成功地用于提取和识别用户需求的主要来源。此外,该系统的文献回顾也提出这项研究的实践者和研究者,包括挑战,尚未解决的问题,以及未来的研究方向的影响。

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