Automated Generation of Large-Scale Repositories of Reusable Artifacts

Identifying reusable artifacts is a labor-intensive process that demands significant input from expert designers. In this research, we propose a methodology for identifying reusable artifacts by examining commonalities and variations in existing designs and demonstrate how the methodology can be scaled with bootstrapped inputs to populate repositories of design fragments. The results demonstrate an approach that may be feasible for automatically generating large-scale repositories of reusable artifacts for conceptual design of information systems.