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A metrics based task analysis model for design review planning

机译:基于指标的任务分析模型,用于设计评审计划

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摘要

A metrics based tasks analysis model is proposed for design review. The model attempts to get the relative degree of importance of each task in order to provide a reference for planning the upcoming design projects under limited resource circumstance. The model suggests that the degree of importance of a task can be measured through the critical degree, the likelihood of error occurrence, and the spread degree of the task. A task-influence factor table is introduced to compute the critical degree of each task, in which the critical degrees of different tasks under different criteria are all considered. The likelihood of error occurrence can be detected from three aspects. First, is there any novel technique applied in the task. Second, how much related task experience is possessed by the designers. Third, how many failures are there in the first iteration (before any review process) of similar history tasks in the database. Finally, the spread degree of a task denotes the delay to the whole project caused by the failure of this task, which can be determined by the technology dependence and the amount of work involved in tasks.
机译:提出了一种基于指标的任务分析模型,用于设计审查。该模型试图获得每个任务的相对重要性程度,以便为在资源有限的情况下计划即将到来的设计项目提供参考。该模型建议可以通过关键程度,错误发生的可能性以及任务的传播程度来衡量任务的重要程度。引入任务影响因子表来计算每个任务的关键程度,其中考虑了不同条件下不同任务的关键程度。错误发生的可能性可以从三个方面进行检测。首先,任务中是否应用了任何新颖的技术。其次,设计师拥有多少相关的工作经验。第三,在数据库中类似历史记录任务的第一次迭代中(在任何检查过程之前)有多少次失败。最后,任务的传播程度表示该任务失败导致的整个项目的延迟,这可由技术依赖性和任务涉及的工作量来确定。

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