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Comparing and contrasting model-driven engineering at three large companies

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Comparing and contrasting model-driven engineering at three large companies. / Burden, Håkan; Heldal, Rogardt; Whittle, Jon.
ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. New York: ACM, 2014. 14.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Burden, H, Heldal, R & Whittle, J 2014, Comparing and contrasting model-driven engineering at three large companies. in ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement., 14, ACM, New York. https://doi.org/10.1145/2652524.2652527

APA

Burden, H., Heldal, R., & Whittle, J. (2014). Comparing and contrasting model-driven engineering at three large companies. In ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement Article 14 ACM. https://doi.org/10.1145/2652524.2652527

Vancouver

Burden H, Heldal R, Whittle J. Comparing and contrasting model-driven engineering at three large companies. In ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. New York: ACM. 2014. 14 doi: 10.1145/2652524.2652527

Author

Burden, Håkan ; Heldal, Rogardt ; Whittle, Jon. / Comparing and contrasting model-driven engineering at three large companies. ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. New York : ACM, 2014.

Bibtex

@inproceedings{32f3e9b7287a48c4a10359ae6ca8ee35,
title = "Comparing and contrasting model-driven engineering at three large companies",
abstract = "Context: Hutchinson et al. conducted an interview-based study of how model-driven engineering, MDE, is practiced in 17 companies. Their results include that successful MDE companies develop domain-specific languages; are motivated by a clear business case; and are committed at all levels of the organization. Goal: Whilst the results are useful, the study is a very broad one, with one or two interviewees per company. This paper supplements Hutchinson's study by focusing on three large companies that are applying MDE and undergoing a parallel transition to agile methods. Method: Formal data collection strategies -- 25 semi-structured interviews, observations and progress meetings -- were combined with informal interaction. The data was analysed both inductively for new insights and deductively for comparison with the results of Hutchinson et al. Results: Our findings show how MDE can include domain experts in software development and how agile development and MDE can coexist. In general our results validate the findings of Hutchinson et al. There are two areas where our results differ -- the engineers' sense of control and the appropriateness of their skills and training. Conclusions: Using a combination of data collection strategies and analysis techniques our study casts new light on earlier research as well as contributes with novel insights regarding the adoption of MDE.",
author = "H{\aa}kan Burden and Rogardt Heldal and Jon Whittle",
year = "2014",
doi = "10.1145/2652524.2652527",
language = "English",
isbn = "9781450327749",
booktitle = "ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Comparing and contrasting model-driven engineering at three large companies

AU - Burden, Håkan

AU - Heldal, Rogardt

AU - Whittle, Jon

PY - 2014

Y1 - 2014

N2 - Context: Hutchinson et al. conducted an interview-based study of how model-driven engineering, MDE, is practiced in 17 companies. Their results include that successful MDE companies develop domain-specific languages; are motivated by a clear business case; and are committed at all levels of the organization. Goal: Whilst the results are useful, the study is a very broad one, with one or two interviewees per company. This paper supplements Hutchinson's study by focusing on three large companies that are applying MDE and undergoing a parallel transition to agile methods. Method: Formal data collection strategies -- 25 semi-structured interviews, observations and progress meetings -- were combined with informal interaction. The data was analysed both inductively for new insights and deductively for comparison with the results of Hutchinson et al. Results: Our findings show how MDE can include domain experts in software development and how agile development and MDE can coexist. In general our results validate the findings of Hutchinson et al. There are two areas where our results differ -- the engineers' sense of control and the appropriateness of their skills and training. Conclusions: Using a combination of data collection strategies and analysis techniques our study casts new light on earlier research as well as contributes with novel insights regarding the adoption of MDE.

AB - Context: Hutchinson et al. conducted an interview-based study of how model-driven engineering, MDE, is practiced in 17 companies. Their results include that successful MDE companies develop domain-specific languages; are motivated by a clear business case; and are committed at all levels of the organization. Goal: Whilst the results are useful, the study is a very broad one, with one or two interviewees per company. This paper supplements Hutchinson's study by focusing on three large companies that are applying MDE and undergoing a parallel transition to agile methods. Method: Formal data collection strategies -- 25 semi-structured interviews, observations and progress meetings -- were combined with informal interaction. The data was analysed both inductively for new insights and deductively for comparison with the results of Hutchinson et al. Results: Our findings show how MDE can include domain experts in software development and how agile development and MDE can coexist. In general our results validate the findings of Hutchinson et al. There are two areas where our results differ -- the engineers' sense of control and the appropriateness of their skills and training. Conclusions: Using a combination of data collection strategies and analysis techniques our study casts new light on earlier research as well as contributes with novel insights regarding the adoption of MDE.

U2 - 10.1145/2652524.2652527

DO - 10.1145/2652524.2652527

M3 - Conference contribution/Paper

SN - 9781450327749

BT - ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

PB - ACM

CY - New York

ER -