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Aiming at methods’ wider adoption: Applicability determinants and metrics

Abstract

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.

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Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Computer Science Review no. 40,
ISSN: 1574-0137
Language:
English
Publication year:
2021
Bibliographic description:
Leszczyna R.: Aiming at methods’ wider adoption: Applicability determinants and metrics// Computer Science Review -Vol. 40, (2021), s.100387-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.cosrev.2021.100387
Verified by:
Gdańsk University of Technology

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