A Framework to Manage Sensitive Information during its Migration between Software Platforms

Abstract

Software migrations are mostly performed by organizations using migration teams. Such migration teams need to be aware of how sensitive information ought to be handled and protected during the implementation of the migration projects. There is a need to ensure that sensitive information is identified, classified and protected during the migration process. This paper suggests how sensitive information in organizations can be handled and protected during migrations, by using the migration from proprietary software to open source software to develop a management framework that can be used to manage such a migration process. The research used a sequential explanatory mixed methods case study to propose a management framework on information sensitivity during software migrations. The management framework is validated and found to be significant, valid and reliable, by using statistical techniques such as exploratory factor analysis, reliability analysis and multivariate analysis, as well as a qualitative coding process