Abstract
We demonstrate the application of Model Driven Engineering techniques to support the development of research grant proposals. In particular, we report on using model-to-text transformation and model validation to enhance productivity and consistency in research proposal writing, and present unanticipated opportunities that were revealed after establishing an MDE infrastructure. We discuss the types of models and the technologies used, reflect on our experiences, and assess the productivity benefits of our MDE solution through automated analysis of data extracted from the version control repository of a successful grant proposal; our evaluation indicates that the use of MDE techniques improved productivity by at least 58%.
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Kolovos, D.S., Matragkas, N., Williams, J.R., Paige, R.F. (2014). Model Driven Grant Proposal Engineering. In: Dingel, J., Schulte, W., Ramos, I., Abrahão, S., Insfran, E. (eds) Model-Driven Engineering Languages and Systems. MODELS 2014. Lecture Notes in Computer Science, vol 8767. Springer, Cham. https://doi.org/10.1007/978-3-319-11653-2_26
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DOI: https://doi.org/10.1007/978-3-319-11653-2_26
Publisher Name: Springer, Cham
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