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A quality model for the systematic assessment of requirements traceability

机译:系统评估需求可追溯性的质量模型

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Traceability is an important quality of software requirements and allows to describe and follow their life throughout a development project. The importance of traceable requirements is reflected by the fact that requirements standards, safety regulations, and maturity models explicitly demand for it. In practice, traceability is created and maintained by humans, which make mistakes. In result, existing traces are potentially of dubious quality but serve as the foundation for high impact development decisions. We found in previous studies that practitioners miss clear guidance on how to systematically assess the quality of existing traces. In this paper, we review the elements involved in establishing traceability in a development project and derive a quality model that specifies per element the acceptable state (Traceability Gate) and unacceptable deviations (Traceability Problem) from this state. We describe and formally define how both, the acceptable states and the unacceptable deviations can be detected in order to enable practitioners to systematically assess their project's traceability. We evaluated the proposed model through an expert survey. The participating experts considered the quality model to be complete and attested that its quality criteria are of high relevance. We further found that the experts weight the occurrence of different traceability problems with different criticality. This information can be used to quantify the impact of traceability problems and to prioritize the assessment of traceability elements.
机译:可追溯性是软件需求的重要素质,它可以描述和跟踪整个开发项目中的生命。可追溯需求的重要性体现在需求标准,安全法规和成熟度模型明确要求它的事实上。在实践中,可追溯性是由人创造和维护的,这会犯错误。结果,现有的痕迹可能具有可疑的质量,但可作为高影响力开发决策的基础。我们在以前的研究中发现,从业人员缺少有关如何系统地评估现有痕迹质量的明确指导。在本文中,我们回顾了在开发项目中建立可追溯性的要素,并推导了一个质量模型,该质量模型为每个要素指定了可接受状态(可追溯性门)和与该状态不可接受的偏差(可追溯性问题)。我们描述并正式定义了如何检测可接受状态和不可接受偏差,以使从业人员能够系统地评估其项目的可追溯性。我们通过专家调查评估了建议的模型。与会专家认为质量模型是完整的,并证明其质量标准具有很高的相关性。我们进一步发现,专家们权衡了具有不同关键性的不同可追溯性问题的发生。此信息可用于量化可追溯性问题的影响,并优先评估可追溯性元素。

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