Name
Abstract | ||
|---|---|---|
This paper describes an empirical study of decision-making when changing the architecture in embedded systems. A refactoring of the system architecture often gives effects on both system properties and functions in the company organization, and there is a lack of efficient analysis methods for decision support in the system architecture process. This study investigates the information needed to make a decision about a system refactoring. Scenario-based interviews have been conducted with managers and system architects from companies developing embedded systems. The results show that the companies investigate similar issues regardless of their industry sector. The most wanted information prior to a decision is also presented. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.procs.2012.01.058 | Procedia Computer Science |
Keywords | Field | DocType |
System refactoring,system evolution,system architecture,software architecture,decision-making,empirical study | Computer science,Real-time computing,Artificial intelligence,Systems architecture,Software maintenance,Enterprise architecture framework,Code refactoring,Applications architecture,Software engineering,Software architecture description,Reference architecture,View model,Machine learning | Journal |
Volume | ISSN | Citations |
8 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sara Dersten | 1 | 7 | 1.62 |
| Jakob Axelsson | 2 | 175 | 26.05 |
| Joakim Fröberg | 3 | 39 | 4.44 |