人类判断和软件度量:对未来的展望

C. Mair, M. Shepperd
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引用次数: 24

摘要

背景:为了改进软件项目的资源估计和计划,已经有很多关于构建正式的(基于度量的)预测系统的研究。然而,这种系统的“客观性”在某种意义上是虚幻的,因为许多输入本身需要由软件工程师进行估计。方法:我们回顾了过去软件项目预测研究的吸收,并确定了有关专家行为的认知心理学研究。我们特别探讨了最近元认知研究的潜在应用。结果:我们发现,尽管认知心理学有许多重要的结果,但人的方面在很大程度上被忽视了。结论:为了增加我们的指标研究的实际使用,例如工作量预测系统,我们需要对如何使用这些研究以及谁可能使用它有一个更综合的看法。这使我们相信,未来的研究必须更加全面和跨学科。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human judgement and software metrics: vision for the future
Background: There has been much research into building formal (metrics-based) prediction systems with the aim of improving resource estimation and planning of software projects. However the 'objectivity' of such systems is illusory in the sense that many inputs need themselves to be estimated by the software engineer. Method: We review the uptake of past software project prediction research and identify relevant cognitive psychology research on expert behaviour. In particular we explore potential applications of recent metacognition research. Results: We find the human aspect is largely ignored, despite the availability of many important results from cognitive psychology. Conclusions: In order to increase the actual use of our metrics research e.g. effort prediction systems we need to have a more integrated view of how such research might be used and who might be using it. This leads to our belief that future research must be more holistic and inter-disciplinary.
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