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第21回名古屋アジャイル勉強会 「マインドマップで高める要約力」のプレゼンテーション資料です
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daxanya1
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“Close encounters in MDD: when Models meet Code” Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD. In particular, we address the risks of transformation-based software development, such as: • It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models. • MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial. In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem. Finally, we discuss how the presented approach fits with the ‘scalable design’ approach for developing software that is scalable with respect to evolving requirements.
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第21回名古屋アジャイル勉強会 「マインドマップで高める要約力」のプレゼンテーション資料です
第21回名古屋アジャイル勉強会 「マインドマップで高める要約力」
第21回名古屋アジャイル勉強会 「マインドマップで高める要約力」
daxanya1
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD. In particular, we address the risks of transformation-based software development, such as: • It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models. • MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial. In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Close encounters in MDD: when Models meet Code
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lbergmans
“Close encounters in MDD: when Models meet Code” Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD. In particular, we address the risks of transformation-based software development, such as: • It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models. • MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial. In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem. Finally, we discuss how the presented approach fits with the ‘scalable design’ approach for developing software that is scalable with respect to evolving requirements.
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Por la fe recibimos el regalo de la salvación divina.
Fe contra todo pronóstico. La fe es confianza.
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