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Aiming at methods’ wider adoption: Applicability determinants and metrics
Computer Science Review ( IF 13.3 ) Pub Date : 2021-03-05 , DOI: 10.1016/j.cosrev.2021.100387
Rafał Leszczyna

Numerous computer science methods and techniques have been proposed by the scientific community. However, depending on the domain, only their minor fraction has met wider adoption. This paper brings attention to the concept of applicability — the notion that is well acknowledged in the scientific field but have not been analysed with respect to determinants, metrics and systematisation. The primary objective of the study was to identify applicability determinants and metrics and consolidate them into a taxonomy, based on a systematic process. To achieve the objective, a methodological literature review supported with operationalisation activities were applied. As a result, more than thirty descriptors of applicability were introduced in the proposed applicability taxonomy, and a similar number of metrics has been elicited. Based on them, a questionnaire for evaluation of the method’s applicability was created and applied to the evaluation of a currently developed cybersecurity risk assessment method that aims at broader market uptake. The analysis provided indications on its further developments, but also findings of a more universal character.



中文翻译:

旨在更广泛地采用方法:适用性决定因素和指标

科学界已经提出了许多计算机科学方法和技术。但是,取决于领域,只有它们的一小部分得到了更广泛的采用。本文引起了对适用性概念的关注,该概念在科学领域已广为人知,但尚未在行列式,度量和系统化方面进行分析。这项研究的主要目的是基于系统的过程,确定适用性的决定因素和指标并将其合并为一个分类法。为了实现这一目标,应用了方法论文献综述并辅以可操作性活动。结果,在拟议的适用性分类标准中引入了三十多个适用性描述符,并且得出了类似数量的度量标准。基于它们,创建了用于评估该方法适用性的调查表,并将其用于评估当前开发的旨在扩大市场占有率的网络安全风险评估方法。分析提供了其进一步发展的迹象,但也提供了更具普遍性的发现。

更新日期:2021-03-07
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