Software Enfineering: Model-Driven Development (Defintions)

[Model Driven Software Development:] "The process of developing software using different models on different levels of abstraction with (automated) transformations between these models." (Anneke Kleppe et al, "MDA Explained: The Model Driven Architecture™: Practice and Promise", 2003)

[Agile Model-Driven Development (AMDD):] "A highly iterative approach to development in which you create agile models before you write source code." (Pramod J Sadalage & Scott W Ambler, "Refactoring Databases: Evolutionary Database Design", 2006)

[Model-driven software development (MDSD):] "An approach where a significant amount of schematic code, which has the same structure but varies depending on the concrete situation, is generated out of an abstract model." (Nicolai M Josuttis, "SOA in Practice", 2007)

[Model-Driven Engineering:] "Paradigm of software engineering where the development of software is directed using models and transformations." (M J Escalona & G Aragón, "The Use of Metamodels in Web Requirements to Assure the Consistence", 2008)

[Model-Driven Engineering:] "This software development methodology is centered around the notion of modeling (as opposed to coding) to be the primary activity in the software development process. Model refinement, transformation and code generation techniques are then applied to produce executable software artifacts in a semi-automatic way." (Cesare Pautasso, "Compiling Business Process Models into Executable Code", Handbook of Research on Business Process Modeling, 2009)

[Model-Driven Development (MDD):] "A software development process that creates models or abstractions of a system or data in order to increase basic compatibility between systems." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"Is a software design and implementation approach that encourages efficient use of models in the software development process, and supports reuse of best practices when creating families of systems. In general, it provides a way to organize and manage software architectures supported by automated tools and services for both defining the models and facilitating transformations between different models, including the automated transformation of the software system specification into automated code generation." (Christian Scholz et al, "From the Lab to the Factory Floor: Engineering Software for Wireless Sensor Networks", 2012)

[Model-Based Systems Engineering (MBSE):] "Model-Based Systems Engineering is the practice of developing a set of related system models that help define, design, and document a system under development. These models provide an efficient way to explore, update, and communicate system aspects to stakeholders, while significantly reducing or eliminating dependence on traditional documents." (Dean Leffingwell, "SAFe 4.5 Reference Guide: Scaled Agile Framework for Lean Enterprises" 2nd Ed., 2018)