敏捷方法成本估算中的计划扑克:平均Vs.共识

T. Gandomani, H. Faraji, Mahsa Radnejad
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引用次数: 17

摘要

软件成本估算一直是软件专家关注的一个重要问题。尽管在基于规则的软件方法学中已经提供了一些估算模型和技术,但敏捷方法学通常使用Planning Poker技术进行软件成本估算。在建议每个用户需求的大小(称为用户故事)时,该技术促进达成共识。然而,大多数软件专家会问是否有必要达成共识。他们还提供考虑用户故事的建议大小(成本)的平均值,而不是关注于他们的共识。本文的主要目的是介绍一个案例研究的结果,该研究已经进行了比较两个学科的准确性。结果表明,当团队获得用户故事的平均大小时,与对用户故事的大小达成一致相比,准确性较低。
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Planning Poker in cost estimation in Agile methods: Averaging Vs. Consensus
Software cost estimation has been always a serious concern among the software experts. Although, a few estimation models and techniques have been provided in disciplined based software methodologies, Agile methodologies most often use Planning Poker technique for software cost estimation. This technique promotes coming to consensus when suggesting size of each user requirement (known as User Story). However, most often software experts ask whether it is necessary to reach to a consensus or not. They also, offer considering the average of the suggested sizes (cost) of User Stories instead of focusing on consensus on them. The main aim of this paper is to present the results of a case study research which has been carried out to compare the accuracy of both disciplines. The results show less accuracy when team get an average size of the User Stories compared to coming to consensus about the size of User Stories.
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