Name
Abstract | ||
|---|---|---|
Although poor tool support is often blamed for the low uptake of model-driven engineering (MDE), recent studies have shown that adoption problems are as likely to be down to social and organizational factors as with tooling issues. This article discusses the impact of tools on MDE adoption and practice and does so while placing tooling within a broader organizational context. The article revisits previous data on MDE use in industry (19 in-depth interviews with MDE practitioners) and reanalyzes that data through the specific lens of MDE tools in an attempt to identify and categorize the issues that users had with the tools they adopted. In addition, the article presents new data: 20 new interviews in two specific companies--and analyzes it through the same lens. A key contribution of the paper is a loose taxonomy of tool-related considerations, based on empirical industry data, which can be used to reflect on the tooling landscape as well as inform future research on MDE tools. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s10270-015-0487-8 | Software and Systems Modeling (SoSyM) |
Keywords | Field | DocType |
Model-driven engineering, Modeling tools, Organizational change | Categorization,Organizational context,Systems engineering,Model-driven architecture,Computer science,Knowledge management | Journal |
Volume | Issue | ISSN |
16 | 2 | 1619-1366 |
Citations | PageRank | References |
10 | 0.50 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jon Whittle | 1 | 2929 | 162.07 |
| John Hutchinson | 2 | 488 | 20.58 |
| Mark Rouncefield | 3 | 1631 | 144.08 |
| Hakan Burden | 4 | 22 | 2.02 |
| Rogardt Heldal | 5 | 331 | 36.56 |