In recent years, due to significant evolution in adopting new technologies and development methodologies in the field of software engineering, the developers and researchers are striving to optimize the accuracy of software effort estimation (SEE). The overestimation and underestimation both are the key challenges for software progress; hence, there is a continuous need for an accurate SEE. This paper highlights a systematic review of studies associated with the best practices of use case point (UCP) and expert judgment–based software development effort estimation techniques. The primary aim and contribution of this paper are to support the researchers through an extensive review to ease to other researcher's search for effort estimation studies. We have performed state‐of‐the‐art review from five viewpoints of reference: (a) review of studies concerning UCPs and expert judgment–based effort estimation, (b) research contribution and future recommendation in different novelties, (c) usage of the dataset, (d) availability of accuracy metrics, and (e) findings of the studies. We have performed a systematic review of studies which are published in the period of 2000 to 2019. We have selected a total of 34 primary studies of UCP and expert judgment–based estimation techniques to report the research questions stated in this review.

中文翻译：

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对用例点研究的系统回顾和基于专家的软件开发工作评估

近年来，由于在软件工程领域采用新技术和开发方法的重大发展，开发人员和研究人员正在努力优化软件工作量估计（SEE）的准确性。高估和低估都是软件进步的关键挑战；因此，一直需要准确的 SEE。本文重点介绍了与用例点 (UCP) 和基于专家判断的软件开发工作量估算技术的最佳实践相关的研究的系统回顾。本文的主要目的和贡献是通过广泛的审查来支持研究人员，以方便其他研究人员寻找工作量估计研究。我们从五个参考角度进行了最先进的审查：(a) 审查有关 UCP 和基于专家判断的努力估计的研究，(b) 不同新颖性的研究贡献和未来建议，(c) 数据集的使用，(d) 准确性指标的可用性，以及 (e)研究。我们对 2000 年至 2019 年期间发表的研究进行了系统回顾。我们总共选择了 34 项关于 UCP 和基于专家判断的估计技术的主要研究，以报告本综述中所述的研究问题。