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Pure VTT Finland
Conference object . 2011
Data sources: Pure VTT Finland
https://doi.org/10.2316/p.2011...
Article . 2011 . Peer-reviewed
Data sources: Crossref
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Model Driven Development - Attention to People and Processes

Attention to People and Processes
Authors: Teppola, Susanna; Parviainen, Päivi;

Model Driven Development - Attention to People and Processes

Abstract

Model Driven Development (MDD) can potentially offer great benefits to software development companies, for example, in the sense of improved productivity. However, MDD still suffers from challenges that complicate its wider use in companies. This paper presents a study in which several challenges to MDD use were identified, based on a number of interviews with MDD experts. In this paper, we discuss these challenges from a viewpoint that a successful technology change requires three key elements to be taken into consideration: people, processes and technology. As a result, we bring out the following findings: The technological challenges in MDD are discussed in a great number of published papers. MDD processes have also received attention, but the presented MDD processes are often quite similar to the non-MDD processes. Our study indicates that in order to reach wider usage in industrial projects, in addition to new technological solutions, processes also need to be adjusted to the specialities of MDD. And especially, a human aspect, which has not gained much attention in MDD research, should be studied more in the future.

Country
Finland
Related Organizations
Keywords

Processes, Model Driven Development, Technology adoption

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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