Data Used To Gnerate HFAMA Framework

This dataset contains the supporting materials used in the design, development, and validation of the HFAMA (Heuristic Framework for Authentication in Mobile Apps) framework. It includes the following components:Framework Analysis: A comparative review of existing authentication-related usability frameworks from the literature, identifying gaps and relevant heuristics.Heuristic Classification and Selection: The process used to compile, refine, and classify the candidate heuristics for inclusion in the HFAMA framework, including elimination of duplicates and overlaps.Metric Development: The definition of evaluation metrics associated with each heuristic to support structured expert evaluation.Preliminary Framework Drafts: Iterative versions of the HFAMA framework during its refinement phase.Expert Review Feedback: Structured comments from three expert evaluators, including their recommendations for rewording, removing, or refining specific heuristics, as well as the rationale for accepted or rejected changes.