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The Impact of Irrelevant and Misleading Information on Software Development Effort Estimates: A Randomized Controlled Field Experiment

机译:不相关和具有误导性的信息对软件开发工作量估计的影响:随机控制的现场实验

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Studies in laboratory settings report that software development effort estimates can be strongly affected by effort-irrelevant and misleading information. To increase our knowledge about the importance of these effects in field settings, we paid 46 outsourcing companies from various countries to estimate the required effort of the same five software development projects. The companies were allocated randomly to either the original requirement specification or a manipulated version of the original requirement specification. The manipulations were as follows: 1) reduced length of requirement specification with no change of content, 2) information about the low effort spent on the development of the old system to be replaced, 3) information about the client's unrealistic expectations about low cost, and 4) a restriction of a short development period with start up a few months ahead. We found that the effect sizes in the field settings were much smaller than those found for similar manipulations in laboratory settings. Our findings suggest that we should be careful about generalizing to field settings the effect sizes found in laboratory settings. While laboratory settings can be useful to demonstrate the existence of an effect and better understand it, field studies may be needed to study the size and importance of these effects.
机译:实验室环境中的研究报告说,与工作无关的信息和误导性信息会严重影响软件开发工作的估计。为了增加我们对这些影响在现场设置中的重要性的了解,我们向来自不同国家的46家外包公司付款,以估算这五个软件开发项目所需的工作量。公司被随机分配到原始需求规范或原始需求规范的可操纵版本。操纵如下:1)减少了需求规格说明的长度,而没有内容的更改; 2)有关在要替换的旧系统的开发上花费的精力少的信息; 3)有关客户对低成本的不切实际期望的信息; 4)开发周期短,要提前几个月启动。我们发现,现场设置的效果大小比实验室设置的类似操作小得多。我们的发现表明,对于将实验室环境中发现的效果大小推广到现场环境,我们应该格外小心。虽然实验室设置对于证明某种效应的存在和更好地理解它可能是有用的,但是可能需要进行现场研究来研究这些效应的大小和重要性。

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