Quantitative Analysis of Goal Oriented Requirements Models

Quantitative Analysis of Goal Oriented Requirements Models
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面向目标的需求模型的定量分析

DOI:
10.1007/978-3-030-53949-8_1
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发表时间:
2020
期刊:
Learning and Analytics in Intelligent Systems
影响因子:
--
通讯作者:
Kaiya Haruhiko
Kaiya Haruhiko
中科院分区:
--
文献类型:
--
作者:
白崎 悠太;永井 利幸;青山 幹雄;Kaiya Haruhiko

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开发了一个信息系统,并嵌入到乳品活动中,以满足人们在活动中的需求。因为系统预期会改善活性,所以我们必须预测这种改善的程度。面向目标的需求模型对于表示业务或生活活动中的系统和人员之间的关系非常有用。我们已经提出了扩展的面向目标的需求模型来预测系统如何提高人们的活动。在这个演讲中,我们简要介绍了典型的面向目标的需求模型,以及它们适合于定量分析的扩展。最后,我们展示了未来挑战的几个问题。
An information system is developed and embedded into a dairy activity to satisfy requirements of people in the activity. Because the system is expected to improve the activity, we have to predict the extent of such improvement. Goal oriented requirements models are useful to represent the relationships among systems and people in a business or life activity. We have been proposed extended goal oriented requirements models to predict how well the system improves the activity of the people. In this talk, we briefly introduce typical goal oriented requirements models, and their extensions suitable for quantitative analysis. Finally, we show several issues of future challenges.
28. 自私的基因
DOI: 10.1515/9781400848393-029
发表时间: 2016
期刊:
影响因子: --
作者:
R. Dawkins
通讯作者: R. Dawkins