Abstract
Maintaining up-to-date and accurate enterprise architecture (EA) models is a non-trivial task due to their size and complexity. This becomes more challenging when the meta-model governing these models changes. Current EA maintenance processes are executed manually with little automation, resulting in a time consuming and error prone task. This paper presents a (semi-)automated process for co-evolving EA meta-models and EA models by gathering information from both practitioners and existing literature. This work is one of the steps in the direction of minimizing manual effort for EAM by automation and eliminating modeling errors.
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Silva, N., Rechau, T., da Silva, M.M., Sousa, P. (2017). Automation Process for Co-evolution of Enterprise Architecture Meta-Models and Models. In: Themistocleous, M., Morabito, V. (eds) Information Systems. EMCIS 2017. Lecture Notes in Business Information Processing, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-319-65930-5_51
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DOI: https://doi.org/10.1007/978-3-319-65930-5_51
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