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Success Factors for Effective Process Metrics Operationalization in Agile Software Development: A Multiple Case Study

机译:敏捷软件开发中有效流程度量操作成功的成功因素:多案例研究

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摘要

Existing literature proposes success factors for establishing metrics programs. However, very few studies focus on factors that could ensure long-term use of metrics, and even fewer studies investigate such factors in the context of Agile Software Development (ASD). Motivated by this knowledge gap, we aim to identify success factors for operationalizing metrics in ASD, particularly, factors that could help in the long-term use of metrics. We conducted a multiple case study, where we operationalized process metrics at two software-intensive companies using ASD. We learned that data availability and development process are the two fundamental success factors for process metrics operationalization, albeit less prominent in literature. Companies prefer iterative and incremental operationalization of stable and functional process metrics, which is analogous to the agile way of working. Metrics trustworthiness plays a key role in successful operationalization of process metrics, and is potentially vital to ensuring their long-term use. By comparing the identified success factors with the existing literature, we conclude that success factors concerning data availability, development process, and metrics trustworthiness warrant greater attention, especially to maximize the chances of long-term use of process metrics.
机译:现有文献提出了建立度量标准程序的成功因素。但是,很少有研究关注那些可以确保长期使用度量标准的因素,而在敏捷软件开发(ASD)的背景下,很少有研究调查这些因素。受此知识鸿沟的驱使,我们旨在确定在ASD中实施指标的成功因素,尤其是有助于长期使用指标的因素。我们进行了一个多案例研究,其中我们使用ASD在两家软件密集型公司中实施了流程指标。我们了解到,数据可用性和开发过程是过程指标可操作性的两个基本成功因素,尽管在文献中并不那么突出。公司更喜欢对稳定和功能性流程指标进行迭代和增量操作,这类似于敏捷的工作方式。度量标准的可信赖性在流程度量标准的成功实施中起着关键作用,对于确保长期使用它们至关重要。通过将识别出的成功因素与现有文献进行比较,我们得出结论,涉及数据可用性,开发过程和指标可信赖性的成功因素值得更多关注,尤其是要最大化长期使用过程指标的机会。

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