Data-driven Selection of Security Application Frameworks during Architectural Design

Humberto Cervantes, Junsung Cho, Geumhwan Cho, Hyoungshick Kim, Rick Kazman, Jina Kang, Jungwoo Ryoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages7331-7340
Number of pages10
ISBN (Electronic)9780998133126
StatePublished - 2019
Event52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 - Maui, United States
Duration: Jan 8 2019Jan 11 2019

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2019-January
ISSN (Print)1530-1605

Conference

Conference52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Country/TerritoryUnited States
CityMaui
Period1/8/191/11/19

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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