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  • 标题:EFFICIENT REQUIREMENT PRIORITIZATION BASED ON ENHANCED MULTI-VERSE OPTIMIZER
  • 本地全文:下载
  • 作者:KHALID K. ADHIM ; AMJAD HUDAIB ; BASHAR AL-SHBOUL
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2019
  • 卷号:97
  • 期号:19
  • 页码:4966-4977
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Nowadays software development has more popular, and there are several methods have been introduced for achieving the software faster to meets the customer requirements. At the same time, the engineering requirements are one of the historic software engineering processes for identifying, analyzing, and validating requirements. The prioritization is most essential step for decision making and software product planning. Requirement prioritization is used for determining the requirements of a software product which should be included in the certain release and it is used in improving software product management. To achieve this Enhanced Multi-Verse Optimizer (EMVO) method is proposed. To achieve this more efficiently, MVO (Multi-Verse Optimizer) algorithm is utilized; it contains cosmology of three concepts such as the White hole, Blackhole, and Wormhole. The aim of this paper is to achieve the requirements prioritization in software with high efficient and high accuracy. The evaluation results proved the accuracy of the proposed method and are compared with various existing techniques.
  • 关键词:Enhanced Multi Verse Optimizer; Engineering Process; Requirement Prioritization; Optimization; Metaheuristic Algorithms
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