assignmentutor-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|Interpreting the Overview Pyramid

We have seen that the Overview Pyramid characterizes a system from three different viewpoints: size and structural complexity; coupling and the usage of the inheritance relation. The characterization is based on the eight computed proportions displayed in the Overview Pyramid. All these values have one important property: they are independent of the size of the system, allowing for an objective assessment.

Did we say objective? We need a reference point, other than common sense (which is not enough to interpret the numbers). For example, is the $9.42$ NOM/Class value in Fig. $3.5$ normal, too small or too large? We need a reference point.

Based on the statistical thresholds described in the previous chapter (see Sect. 2.1) and using the same statistical base, we computed the low, average and high thresholds for all the proportions. ${ }^{2}$ All thresholds are summarized in Table $3.1^{3}$.

Based on these thresholds, we refer to the Overview Pyramid for the sample system depicted in Fig. $3.5$ and knowing that it represents a Java system we interpret the pyramid.

The Size and Complexity side can be interpreted as follows: the operations in the system have a rather low intrinsic complexity (as $0.15$ is closer to the LOW threshold, which is $0.16$ ), while the size of operations is close to the average value for Java systems. With $9.42$ operations per class, and $20.21$ classes per package the system has rather large classes and packages.

On the System Coupling side we learn the following: the system is intensively coupled in terms of operation calls, but these calls tend to be rather localized, i.e., functions tend to call many operations from few classes.

In the Class Hierarchies part we read the following: The class hierarchies are frequent in the system (low ANDC value), and very shallow (low AHH value).

## 电子工程代写|面向对象的系统设计代写Object-Oriented Systems Design代考|The Principles of a Polymetric View

We use rectangles to display software entities or abstractions of them, and we use edges to represent relationships between the entities. ${ }^{4}$ This is a widely used practice in information visualization and software visualization tools. Ware claims that “other possible graphical notations for showing connectivity would be far less effective” [War00].

We enrich this basic visualization technique by rendering up to five metric measurements on a single node and two metrics on a single edge simultaneously, as we see in Fig. 3.7. We exploit the following visual attributes:

• Node size. The width and height of a node can render two measurements. We follow the convention that the wider and the higher the node, the bigger the measurements its size is reflecting.
• Node color. The color interval between white and black can display a measurement. Here the convention is that the higher the measurement, the darker the node. Thus light gray represents a smaller metric measurement than dark gray. We opted against using different colors, because nominal colors cannot reflect quantities. Tufte [Tuf01] states that “Despite our experiences with the spectrum in science textbooks and rainbows, the mind’s eye does not readily give a visual ordering to colors. Because they do have a natural visual hierarchy, varying shades of gray show varying quantities better than color”. 5
• Node position. The $\mathrm{X}$ and $\mathrm{Y}$ coordinates of the position of a node can reflect two other measurements. This requires the presence of an absolute origin within a fixed coordinate system, therefore not all views can exploit such metrics (e.g., in the case of a tree view the position is intrinsically given by the tree layout and cannot reflect a measurement).

# 面向对象的系统设计代考

## 电子工程代写|面向对象的系统设计代写Object-Oriented Systems Design代考|The Principles of a Polymetric View

• 节点大小。节点的宽度和高度可以呈现两个测量值。我们遵循这样的惯例，即节点越宽越高，其尺寸反映的测量值就越大。
• 节点颜色。白色和黑色之间的颜色间隔可以显示一个测量值。这里的惯例是测量值越高，节点越暗。因此，浅灰色代表比深灰色更小的度量标准。我们选择不使用不同的颜色，因为标称颜色不能反映数量。Tufte [Tuf01] 指出：“尽管我们在科学教科书和彩虹中体验过光谱，但头脑的眼睛并不容易对颜色进行视觉排序。因为它们确实具有自然的视觉层次结构，不同深浅的灰色比颜色更能显示出不同的数量”。5
• 节点位置。这X和是节点位置的坐标可以反映另外两个测量值。这需要在固定坐标系中存在绝对原点，因此并非所有视图都可以利用此类度量（例如，在树视图的情况下，位置本质上由树布局给出，不能反映测量值）。

## 有限元方法代写

assignmentutor™作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## 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。

assignmentutor™您的专属作业导师
assignmentutor™您的专属作业导师