如何从头开始构建autoML，Bridging WebML to model-driven engineering: From document type definitions to meta object facility，Meta-models are a prerequisite for model-driven engineering (MDE) in general and consequently for model-driven web engineering in particular. Various web modelling languages, however, are not based on meta-models and standards, like object management group's prominent meta object facility (MOF). Instead they define proprietary languages rather focused on notational aspects. Thus, MDE techniques and tools cannot be deployed for such languages preventing to exploit the full potential of MDE in terms of standardised storage, exchange and transformation of models. The WebML web modelling language is one example that does not yet rely on an explicit meta-model in the sense of MDE. Instead, it is defined in terms of a document type definition (DTD), and implicitly within the accompanying tool. Code generation then has to rely on model-to-code transformations based of extensible stylesheet language transformations (XSLT). We propose a meta-model for WebML to bridge WebML to MDE. To establish such a meta-model, instead of remodelling WebML's meta-model from scratch, a semi-automatic approach is provided that allows generating MOF-based meta-models on the basis of DTDs. The meta-model for WebML accomplishes the following aims: first, it represents an initial step towards a transition to employ MDE techniques within the WebML design methodology. Second, the provision of a MOF-based meta-model ensures interoperability with other MDE tools. Third, it represents an important step towards a common meta-model for Web modelling in future.

克里斯托弗·亚力山大是美国杰出的建筑理论家。由他领衔撰写的《建筑模式语言》一出版就受到建筑界的广泛重视和高度赞誉，并对建筑业产生了深远的影响。

克里斯托弗·亚力山大是美国杰出的建筑理论家。由他领衔撰写的《建筑模式语言》一出版就受到建筑界的广泛重视和高度赞誉，并对建筑业产生了深远的影响。

第三版詳解 第三版詳解 第三版詳解 第三版詳解

Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book’s value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system’s software components will work together and behave as they must. The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions—also available on the Web—is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book’s experienced authors have been teaching and demonstrating for years—that mathematics is good for programming, and that theory is good for practice.

Java Pattern