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A taxonomy of tool-related issues affecting the adoption of model-driven engineering

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A taxonomy of tool-related issues affecting the adoption of model-driven engineering. / Whittle, Jonathan Nicholas David; Hutchinson, John; Rouncefield, Mark Francis et al.
In: Software and Systems Modeling, Vol. 16, No. 2, 05.2017, p. 313-331.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Whittle, JND, Hutchinson, J, Rouncefield, MF, Burden, H & Heldal, R 2017, 'A taxonomy of tool-related issues affecting the adoption of model-driven engineering', Software and Systems Modeling, vol. 16, no. 2, pp. 313-331. https://doi.org/10.1007/s10270-015-0487-8

APA

Whittle, J. N. D., Hutchinson, J., Rouncefield, M. F., Burden, H., & Heldal, R. (2017). A taxonomy of tool-related issues affecting the adoption of model-driven engineering. Software and Systems Modeling, 16(2), 313-331. https://doi.org/10.1007/s10270-015-0487-8

Vancouver

Whittle JND, Hutchinson J, Rouncefield MF, Burden H, Heldal R. A taxonomy of tool-related issues affecting the adoption of model-driven engineering. Software and Systems Modeling. 2017 May;16(2):313-331. Epub 2015 Aug 23. doi: 10.1007/s10270-015-0487-8

Author

Whittle, Jonathan Nicholas David ; Hutchinson, John ; Rouncefield, Mark Francis et al. / A taxonomy of tool-related issues affecting the adoption of model-driven engineering. In: Software and Systems Modeling. 2017 ; Vol. 16, No. 2. pp. 313-331.

Bibtex

@article{32f363c207484fa194165c85c9bc8882,
title = "A taxonomy of tool-related issues affecting the adoption of model-driven engineering",
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.",
keywords = "Model-driven engineering, Modeling tools, Organizational change",
author = "Whittle, {Jonathan Nicholas David} and John Hutchinson and Rouncefield, {Mark Francis} and Hakan Burden and Rogardt Heldal",
year = "2017",
month = may,
doi = "10.1007/s10270-015-0487-8",
language = "English",
volume = "16",
pages = "313--331",
journal = "Software and Systems Modeling",
issn = "1619-1366",
publisher = "Springer Verlag",
number = "2",

}

RIS

TY - JOUR

T1 - A taxonomy of tool-related issues affecting the adoption of model-driven engineering

AU - Whittle, Jonathan Nicholas David

AU - Hutchinson, John

AU - Rouncefield, Mark Francis

AU - Burden, Hakan

AU - Heldal, Rogardt

PY - 2017/5

Y1 - 2017/5

N2 - 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.

AB - 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.

KW - Model-driven engineering

KW - Modeling tools

KW - Organizational change

U2 - 10.1007/s10270-015-0487-8

DO - 10.1007/s10270-015-0487-8

M3 - Journal article

VL - 16

SP - 313

EP - 331

JO - Software and Systems Modeling

JF - Software and Systems Modeling

SN - 1619-1366

IS - 2

ER -