敏捷软件开发中用户故事优先级的多标准随机方法

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI:10.1109/SCCC51225.2020.9281257

J. Pereira, F. H. Vera-Rivera, H. Astudillo, Pedro Contreras, J. Almeida

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引用次数: 0

摘要

在这篇文章中，提出了一种多标准的方法来在敏捷软件开发环境中对用户故事进行优先排序。用户故事的特点是它们的相互依赖性和开发的工作量。PROMETHEE II多标准方法是一种查找用户故事排序的技术，但它需要关于偏好阈值和标准权重的信息。这些参数被认为是随机变量，并进行了模拟过程来探索用户故事优先级的鲁棒性。我们表明，该方法提供的信息揭示了一些用户故事无法排名的模糊区域。通过实例说明了该方法，并对其实用性进行了分析。讨论了该方法的局限性，并提出了未来的研究方向。

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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A multi-criteria stochastic approach to prioritize user-stories in Agile Software Development

In this article, a multi-criteria approach is proposed to prioritize user-stories in an Agile Software Development environment. User-stories are characterized by their interdependencies and the effort of development. The PROMETHEE II multi-criteria method is proposed as a technique to find a ranking of user-stories, but it needs information about preference thresholds and criteria weights. These parameters are considered stochastic variables and a simulation process is performed to explore robustness of the user-stories prioritization. We show that the information provided by the approach reveals zones of ambiguity in which some user-stories cannot be ranked. An example illustrates this approach and its utility is analyzed. Limitations of the approach are discussed and future research is proposed.

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2020 39th International Conference of the Chilean Computer Science Society (SCCC)

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