### 电子工程代写|面向对象的系统设计代写Object-Oriented Systems Design代考|MPCS51410

statistics-lab™ 为您的留学生涯保驾护航 在代写面向对象的系统设计Object-Oriented Systems Design方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写面向对象的系统设计Object-Oriented Systems Design方面经验极为丰富，各种代写面向对象的系统设计Object-Oriented Systems Design相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 电子工程代写|面向对象的系统设计代写Object-Oriented Systems Design代考|The Book in a Nutshell

The approaches presented in this book are useful in dealing with the problems of existing legacy systems or when you need to ameliorate the design of a part of an existing system.

In Fig. $1.1$ we see a depiction of our approach. It starts with a system whose design must first be characterized and then evaluated. This information is necessary to perform refactorings on the system to ameliorate its design.

Chapter 2, Facts on Measurements and Visualization, presents a practical view on metrics and the usual pitfalls of their use and how we circumvent them in this book. This chapter puts down the basic principles and vocabulary that is used throughout this book and also introduces the domain of visualization.

Chapter 3, Characterizing the Design, presents two metrics-based techniques, the Overview Pyramid and Polymetric Views, to get an overview of the design of a large software system. The Overview Pyramid assembles in one place the most significant measurements about an object-oriented system, so that an engineer can see and interpret in one shot everything that is needed to get a first impression about the system. It provides an overview of the application in terms of its complexity, coupling and inheritance. Polymetric Views are metricsenriched visualizations of software entities and their relationships. Their main benefit is that they can visually render numbers in a simple, yet effective and highly condensed way that is directly interpretable by the viewer.

Chapter 4, Evaluating the Design , presents two further techniques, i.e., the Detection Strategy and the Class Blueprint to provide more fine-grained understanding and assessment of the design of an application. Detection strategies are queries, expressed as a combination of metrics, identifying design elements in the source code satisfying the properties encoded by the query. They provide us with a means to detect flawed (from a design point of view) entities. A Class Blueprint is a semantically enriched and layered visualization of the control-flow and access structure of classes. It provides us with a powerful means to inspect the suspects detected by the Detection Strategy.

## 电子工程代写|面向对象的系统设计代写Object-Oriented Systems Design代考|Facts on Measurements and Visualization

In this chapter we briefly introduce you to the good, the bad and the ugly of software metrics. In this context, we also take a short look on why and how visualization can be used in conjunction with metrics to counter-balance several drawbacks of using metrics. By doing this we aim to set a basis for our approach of employing metrics to characterize, evaluate and improve the design of software systems.
What is a metric? It is the mapping of a particular characteristic of a measured entity to a numerical value. An entity can be anything, including yourself; the characteristic can be anything, e.g., your height. The metric height in your case, for example, would be $180 \mathrm{~cm}$. The metric could also have been $1.8 \mathrm{~m}$. This seemingly trivial issue actually unravels a space where decisions have to be taken: what is the unit we are using? Is it important? Yes, otherwise you could end up being a giant of 180 meters! Moreover, why do we care at all about your height? Maybe we just wanted to measure your weight – and this leads us to the next issue: we can measure almost everything, but if we do not have a clear goal in mind of what we are actually trying to achieve with these measurements we are wasting our time. Since this is a book about object-oriented construction and design, we are quantifying and qualifying those aspects.

Why is it useful to measure? Engineering artifacts are made according to precise guidelines, i.e., the size, weight, material, etc. of screws, construction elements, etc. must be defined upfront and be respected by those actually creating the artifacts. Metrics in this case are a way to control quality. Losing control in such a case may have implications on security and potentially endanger people. In software engineering it is important and useful to measure systems, otherwise we risk losing control because of their complexity. Losing control in such a case could make us ignore the fact that certain parts of the system grow abnormally or have a bad quality, e.g., cryptic and uncommented code, badly structured code, etc..

## 广义线性模型代考

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。