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We carry out a detailed analysis of the security advice coding method(SAcoding) of Barrera et al. (2021), which is designed to analyze securityadvice in the sense of measuring actionability and categorizing advice items aspractices, policies, principles, or outcomes. The main part of our analysisexplores the extent to which a second coder's assignment of codes to adviceitems agrees with that of a first, for a dataset of 1013 security advice itemsnominally addressing Internet of Things devices. More broadly, we seek a deeperunderstanding of the soundness and utility of the SAcoding method, and thedegree to which it meets the design goal of reducing subjectivity in assigningcodes to security advice items. Our analysis results in suggestions formodifications to the coding tree methodology, and some recommendations. Webelieve the coding tree approach may be of interest for analysis of qualitativedata beyond security advice datasets alone.

A Close Look at a Systematic Method for Analyzing Sets of Security Advice