Name
Abstract | ||
|---|---|---|
Architecture models mainly have three functions; 1) document, 2) analyze, and 3) improve the system under consideration. All three functions have suffered from being timeconsuming and expensive, mainly due to being manual processes in need of hard to find expertise. Recent work has however automated both the data collection and the analysis. In order for enterprise architecture modeling to finally become free of manual labor the design function also needs to be automated. In this position paper we propose the Automatic Designer. A solution that employs machine learning techniques to realize the design of (near) optimal architecture solutions. This particular implementation is focused on security analysis, but could easily be extended to other topics. |
Year | Venue | Field |
|---|---|---|
2017 | EDOC Workshops | Data architecture,Data mining,Applications architecture,Enterprise architecture,Software engineering,Systems engineering,Computer science,Solution architecture,Reference architecture,Enterprise architecture framework,View model,Enterprise architecture management |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Lagerström | 1 | 401 | 36.58 |
| Pontus Johnson | 2 | 788 | 55.88 |
| Mathias Ekstedt | 3 | 634 | 49.70 |