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Skill assessment in software projects by grey possibility degree

机译:基于灰色可能性度的软件项目技能评估

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It is well known that the development of large software systems can be very challenging. Research shows that inadequate planning and management of human resources can sometimes lead to catastrophic failures in building these systems. Careful planning requires the consideration of the relationships between skills developed by engineers considered for these systems and those required in building high-quality software systems. However, there is a noticeable absence of reliable methodologies for assessing these relationships. This paper presents a method that evaluates skill relationships based on a set of task and resource specific skill parameters. These parameters are used as measures in a multi-attribute decision problem to evaluate the skills of each engineer candidate. The problem is solved by using the concept of possibility degree for ranking two grey numbers in grey systems theory. A case study is presented to show how this method can be applied in these problems.
机译:众所周知,大型软件系统的开发可能非常具有挑战性。研究表明,人力资源规划和管理不足有时会导致构建这些系统的灾难性失败。仔细的计划需要考虑工程师针对这些系统开发的技能与构建高质量软件系统所需的技能之间的关系。但是,明显缺乏可靠的方法来评估这些关系。本文提出了一种基于一组任务和特定于资源的技能参数评估技能关系的方法。这些参数用作多属性决策问题中的度量,以评估每个工程师候选人的技能。该问题是通过使用可能性度的概念对灰色系统理论中的两个灰度数进行排序来解决的。进行了案例研究,以说明如何将这些方法应用于这些问题。

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