Philip Achimugu, Oluwatolani Achimugu, Mohammed Ahmed Taiye, Sseggujja Husssein, Grace Tam-Nurseman, Saheed Adekeye
{"title":"How to Support Communication among Stakeholders during Software Requirements Prioritization","authors":"Philip Achimugu, Oluwatolani Achimugu, Mohammed Ahmed Taiye, Sseggujja Husssein, Grace Tam-Nurseman, Saheed Adekeye","doi":"10.4236/jsea.2021.147016","DOIUrl":null,"url":null,"abstract":"Existing prioritization techniques do not support communication among stakeholders and this makes it difficult for stakeholders to understand the meaning and essence of requirements before prioritization commences. When this happens, the ordered list of requirements can be misleading. The aim of this research is to develop a method capable of supporting and computing ranks of requirements based on the criteria defined for each requirement. The proposed method is developed based on fuzzy logic. Results show that ordered requirements reproduced ranks with strong correlations when compared to their linguistic values provided by the stakeholders. The contribution of this paper centers on an improved way of prioritizing requirements with understanding.","PeriodicalId":62222,"journal":{"name":"软件工程与应用(英文)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"软件工程与应用(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/jsea.2021.147016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Existing prioritization techniques do not support communication among stakeholders and this makes it difficult for stakeholders to understand the meaning and essence of requirements before prioritization commences. When this happens, the ordered list of requirements can be misleading. The aim of this research is to develop a method capable of supporting and computing ranks of requirements based on the criteria defined for each requirement. The proposed method is developed based on fuzzy logic. Results show that ordered requirements reproduced ranks with strong correlations when compared to their linguistic values provided by the stakeholders. The contribution of this paper centers on an improved way of prioritizing requirements with understanding.
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