Utilization of Three Software Size Measures for Effort Estimation in Agile World: A Case Study

Hüseyin Ünlü, Tuna Hacaloglu, Fatma Büber, Kıvılcım Berrak, Onur Leblebici, Onur Demirörs
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引用次数: 2

Abstract

Functional size measurement (FSM) methods, by being systematic and repeatable, are beneficial in the early phases of the software life cycle for core project management activities such as effort, cost, and schedule estimation. However, in agile projects, requirements are kept minimal in the early phases and are detailed over time as the project progresses. This situation makes it challenging to identify measurement components of FSM methods from requirements in the early phases, hence complicates applying FSM in agile projects. In addition, the existing FSM methods are not fully compatible with today’s architectural styles, which are evolving into event-driven decentralized structures. In this study, we present the results of a case study to compare the effectiveness of different size measures: functional -COSMIC Function Points (CFP)-, event-based - Event Points-, and code length-based - Line of Code (LOC)-on projects that were developed with agile methods and utilized a microservice-based architecture. For this purpose, we measured the size of the project and created effort estimation models based on three methods. It is found that the event-based method estimated effort with better accuracy than the CFP and LOC-based methods.
在敏捷世界中,三种软件规模度量在工作量估算中的应用:一个案例研究
功能大小度量(FSM)方法由于具有系统性和可重复性,在软件生命周期的早期阶段对核心项目管理活动(如工作量、成本和进度估计)是有益的。然而,在敏捷项目中,需求在早期阶段保持最小化,并随着项目的进展逐渐细化。这种情况使得在早期阶段从需求中识别FSM方法的度量组件变得具有挑战性,因此使FSM在敏捷项目中的应用变得复杂。此外,现有的FSM方法与当今的体系结构风格并不完全兼容,它们正在演变成事件驱动的分散结构。在本研究中,我们展示了一个案例研究的结果,以比较不同规模度量的有效性:功能性- cosmic功能点(CFP)-,基于事件的-事件点-和基于代码长度的-代码行(LOC)-在使用敏捷方法开发并利用基于微服务的架构的项目上。为此,我们测量了项目的大小,并基于三种方法创建了工作量估计模型。结果表明,基于事件的估算方法比基于CFP和loc的方法具有更好的估算精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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