Impact of competence on agile effort estimation in academic setting

Luka Fürst, Tomaž Hovelja, Marko Poženel, Damjan Vavpotič
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Abstract

Effort estimation is an important activity in agile software development. The goal of the presented study was to determine the influence of individual competence on software development effort estimation. In particular, we measured both the accuracy of effort estimation and the duration of the estimation process itself, both for three different estimation methods. The subjects of our study were teams of students of a graduate‐level software engineering course at the University of Ljubljana, Faculty of Computer and Information Science. Based on the grades that individual students attained in their undergraduate study, we classified each team as “high‐competence” or “low‐competence” and additionally as “heterogeneous” or “homogeneous” (the criterion here being the variance of the members' average grades). We found out that there was no significant difference in effort estimation accuracy neither between high‐competence and low‐competence teams nor between heterogeneous and homogeneous teams, regardless of which estimation method was used. However, high‐competence teams spent significantly less time on effort estimation than low‐competence ones. Likewise, for two of the employed estimation methods, heterogeneous teams completed effort estimation in a significantly shorter time than homogeneous teams. These results might benefit both academic and professional community.
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能力对学术环境中敏捷工作估算的影响
努力估算是敏捷软件开发中的一项重要活动。本研究旨在确定个人能力对软件开发工作量估算的影响。特别是,我们测量了三种不同估算方法的工作量估算准确性和估算过程本身的持续时间。我们的研究对象是卢布尔雅那大学计算机与信息科学学院软件工程研究生课程的学生团队。根据每个学生在本科阶段的成绩,我们将每个团队分为 "高能力 "和 "低能力",以及 "异质 "和 "同质"(这里的标准是成员平均成绩的差异)。我们发现,无论采用哪种估算方法,高能力团队和低能力团队之间以及异质团队和同质团队之间的努力估算准确率都没有显著差异。但是,高能力团队花费在努力估算上的时间明显少于低能力团队。同样,在使用的两种估算方法中,异质团队完成努力估算的时间明显短于同质团队。这些结果可能对学术界和专业界都有益处。
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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