Abstract
Continuous Delivery (CD) and, in general, Continuous Software Engineering (CSE) is becoming the norm. Still, current practices and available integration platforms are too code-oriented. They are not well adapted to work with other, non text-based, software artifacts typically produced during early phases of the software engineering life-cycle. This is especially problematic for teams adopting a Model-Driven Engineering (MDE) approach to software development where several (meta)models (and model transformations) are built and executed as part of the development process. Typically, (part of) the code is automatically generated from such models. Therefore, in a complete CD process, changes in a model should trigger changes on the generated code when appropriate.
A step further would be to apply CD practices to the development of modeling artefacts themselves. Analogously to “traditional” CD, where the goal is to have the mainline codebase always in a deployable state, the aim would be to have the modeling infrastructure always ready to be used. Those models could be the final product themselves or an intermediate artifact in a complete CSE process as described above.
Either way, a tighter integration between CD and MDE would benefit software practitioners by providing them with complete CSE, covering also analysis and design stages of the process.
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Garcia, J., Cabot, J. (2019). Stepwise Adoption of Continuous Delivery in Model-Driven Engineering. In: Bruel, JM., Mazzara, M., Meyer, B. (eds) Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment. DEVOPS 2018. Lecture Notes in Computer Science(), vol 11350. Springer, Cham. https://doi.org/10.1007/978-3-030-06019-0_2
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