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Face Validation of Database Forensic Investigation Metamodel
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP). Luleå University of Technology.ORCID iD: 0000-0003-4071-4596
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2021 (English)In: Infrastructues, ISSN 2412-3811, Vol. 6, no 2, p. 1-20, article id 13Article in journal, Editorial material (Other academic) Published
Abstract [en]

Using a face validity approach, this paper provides a validation of the Database Forensic Investigation Metamodel (DBFIM). The DBFIM was developed to solve interoperability, heterogeneity, complexity, and ambiguity in the database forensic investigation (DBFI) field, where severalmodels were identified, collected, and reviewed to develop DBFIM. However, the developedDBFIM lacked the face validity-based approach that could ensure DBFIM’s applicability in the DBFIfield. The completeness, usefulness, and logic of the developed DBFIM needed to be validated byexperts. Therefore, the objective of this paper is to perform the validation of the developed DBFIMusing the qualitative face validity approach. The face validity method is a common way of validating metamodels through subject expert inquiry on the domain application of the metamodel to assess whether the metamodel is reasonable and compatible based on the outcomes. For this purpose,six experts were nominated and selected to validate the developed DBFIM. From the expert review,the developed DBFIM was found to be complete, coherent, logical, scalable, interoperable, and useful for the DBFI field. 

Place, publisher, year, edition, pages
Basel: MDPI, 2021. Vol. 6, no 2, p. 1-20, article id 13
Keywords [en]
database forensics, digital forensic, face validity, metamodel, validation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Science education
Identifiers
URN: urn:nbn:se:mau:diva-39593DOI: 10.3390/infrastructures6020013ISI: 000623662600001OAI: oai:DiVA.org:mau-39593DiVA, id: diva2:1520472
Available from: 2021-01-20 Created: 2021-01-20 Last updated: 2024-04-10Bibliographically approved

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Kebande, Victor R.

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