Data-driven Selection of Security Application Frameworks during Architectural Design

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Abstract

The selection of application frameworks is an important aspect of architectural design. Selection often requires satisficing, that is, searching a potentially large space of design alternatives until an acceptable solution is found. There is, however, little help for architects in selecting software frameworks. In this paper we investigate the criteria used by practicing software architects in selecting security frameworks. We also propose how information associated with some of the criteria that are important to architects can be obtained manually or in an automated way from online sources such as GitHub. Our ultimate goal is to identify measures associated with these criteria that can be helpful in providing support for architects to select software frameworks.

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APA

Cervantes, H., Cho, J., Cho, G., Kim, H., Kazman, R., Kang, J., & Ryoo, J. (2019). Data-driven Selection of Security Application Frameworks during Architectural Design. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2019-January, pp. 7331–7340). IEEE Computer Society. https://doi.org/10.24251/hicss.2019.880

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