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Soft Computing and Decision Support System for Software Process Improvement: A Systematic Literature Review

机译:软化计算和决策支持系统,用于软件流程改进:系统文献综述

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Software project development is very crucial, and measuring the exact cost and effort of development is becoming tedious and challenging. Organizations are trying to wind up their project of software development within the agreed budget and schedule successfully. Traditional practices are inadequate to achieve the current needs of the software industry. Underestimation and overestimation of software development effort lead to financial implications in the form of resources, cost of staffing, and budget of developing the software project. Soft computing (SC) approaches and tools deliver an addition of techniques for anticipating resistance to the deception, defect, incomplete truth for traceability and ambiguity, low arrangement cost, and strength. A large amount of SC approaches is prevailing in the literature to accomplish way-out to difficulties precisely, practically, and speedily. The approaches of SC can give better prediction, high performance, and dynamic behavior. SC deals with computational intelligence which integrates the concept of agent paradigm and SC. The proposed study presents a systematic literature review (SLR) of the approaches, tools, and techniques of SC used in the literature. The study presented a comprehensive review by searching the defined keywords in the popular libraries, filtered the paper, and obtained most relevant papers. After the selection of the papers, the quality assessment process of the included papers has been done in order to determine the relevancy of the papers. The study will help researchers in the area of research to devise novel ideas and solutions to overcome the existing issue on the basis of this study as evidence of the literature.
机译:软件项目开发非常重要,衡量发展的确切成本和发展努力变得繁琐和挑战。组织正在努力在商定的预算中建立其软件开发项目,并成功进度。传统实践不足以实现软件行业的当前需求。低估和高估软件开发工作导致资源形式,人员配备成本和开发软件项目的预算的财务影响。软计算(SC)方法和工具提供了一种添加技术,用于预测对欺骗性,缺陷,可追溯性和模糊性,低安排成本和强度的抗腐蚀性,不完全真理的抵抗力。在文献中,大量的SC方法在文献中普遍存在,实际上和迅速地实现困难。 SC的方法可以提供更好的预测,高性能和动态行为。 SC处理计算智能,该智能集成了代理范例和SC的概念。拟议的研究提出了文献中使用的SC的方法,工具和技术的系统文献综述(SLR)。该研究通过在流行的库中搜索定义的关键字,过滤纸张并获得最相关论文来介绍全面的审查。在选择论文之后,已经完成了附录论文的质量评估过程,以确定论文的相关性。该研究将帮助研究人员在研究领域,以设计新颖的想法和解决方案,以克服本研究的现有问题作为文献的证据。

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