Name
Abstract | ||
|---|---|---|
•We propose a run-time architecture evaluation method.•It tracks the benefits of architecture design decisions using machine learning.•It is inspired by MOP to evaluate cost-benefit trade-offs of architecture decisions.•It can inform deployment, refinement and/or phasing out architecture decisions.•We demonstrate the applicability and effectiveness of approach through IoT case. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jss.2019.110428 | Journal of Systems and Software |
Keywords | Field | DocType |
Run-time architecture evaluation,Runtime architecture evaluation,Software architectures for dynamic environments,Internet of things,IoT,Design diversity | Dynamism,Architecture,Software deployment,Software engineering,Systems engineering,Computer science,Quality of service,Software system,Software architecture,Systems architecture,Scalability | Journal |
Volume | ISSN | Citations |
159 | 0164-1212 | 1 |
PageRank | References | Authors |
0.38 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dalia Sobhy | 1 | 1 | 0.38 |
| Minku Leandro L. | 2 | 709 | 40.23 |
| Rami Bahsoon | 3 | 534 | 60.22 |
| Tao Chen | 4 | 599 | 29.93 |
| Rick Kazman | 5 | 2950 | 404.78 |