### 电子工程代写|软件项目作业代写Software Project代考|SENG3160

statistics-lab™ 为您的留学生涯保驾护航 在代写软件项目Software Project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。我们的专家在代写软件项目Software Project方面经验极为丰富，各种代写软件项目Software Project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|软件项目作业代写Software Project代考|Proposed Modeling

The prime purpose of the proposed system is to introduce a novel modeling approach of optimization for estimating design reusability for software project. The proposed system considers the real-time constraints and presents a unique technique to enhance project management in software development firms. The development scenario considers the case study of small and medium enterprises which adheres to meet time- and mission-critical objection using small amount of resources. From software engineering viewpoint, such corporates have higher inclinations toward adoption of cost-cutting measures in production. Hence, the proposed model offers a technique which is essentially meant for the stakeholder of small and medium enterprises for evaluating two facts, viz.:

• How much reusable design components can be used for meeting new software project development?
• Can the new production cost be lowered by incorporating reusable design components in it?
The prime contributions of the proposed modeling approach are as follows:
• Novel approach in software engineering: For the first time in research, the proposed model considers the real-world constraints for evolving up with a mathematical model for enhancing the project management methodologies. The proposed technique is designed based on simple tool, and modeling supports extensive mathematical operations to superiorly enhance the optimization process.
• Efficient design reusability: The proposed model uses probability theory enriched with statistical operation in order to perform modeling. The technique uses simple parameters like number of days, human resources, cost of the production, working schedule, etc. and modeled them in simple design reusability estimation technique.
• Highly adoptable design principle: The development of the proposed technique uses open-source platform for extracting the software metric suite information (CK metrics). Hence, the design principle can be considered to be platform independent and can offer better flexibility of adoption even if different domains of problems are given.
• Robust optimization technique: The proposed model uses backpropagation learning technique which is used to ensure superior consistency and reduced computational complexity in reusability estimation. It also uses LevenbergMarquardt optimization technique, which is used for solving nonlinear optimization problems. The problems considered in our case are also nonlinear in nature; hence it finds better suitability.

## 电子工程代写|软件项目作业代写Software Project代考|Research Methodologies

The design of the proposed model is carried out using analytical research approach emphasizing the critical factors involved in software development projects. The flow of the adopted research methodology is highlighted in Fig. 1.4. The brief discussions of an essential building block of the adopted research methodology are as follows:

• Data collection: We consider some sample software projects (supply chain management) which were developed using JSP, Servlets, or Struts just in order to ensure that we have a good number of logical codes for developing designs. We use Metrics 1.3.6 [28] tool in order to extract the original values of $\mathrm{CK}$ metrics, e.g., CBO, RFC, WMC, DIT, and NOC.
• Assumption building: The study considers the real-life scenario of SMEs where resources are always subjected to optimization. The three problems considered are (i) resource quantity, (ii) work schedules, and (iii) cost of new development. The proposed optimization technique is designed considering hard thresholding scheme based on these three constraints.
• Descriptive statistics: The numerical outcome of the study uses simple descriptive statistics (mean, median, mode, skewness, kurtosis, variance, standard deviation, etc.) to observe the trend of data.
• Inferential Statistics: The study uses t-test and analysis of variance in order to arrive at the p value of the numerical data. This is basically used for computing significance value for all the CK metrics in order to check its possible impact on design reusability.
• Formulate condition of reusability: We consider that formulation of code reusability should be made in highly flexible way. We assume that a developer has a possession of software design for a delivered project. Assuming the organization is working on the similar domain, the developer can be easily thought of getting a similar kind of software project with minor or some amount of changes. Hence, the proposed model will be used to identify what amount of design for new project matches with existing reusable design components (from the prior project). The system will also need to design reusable components whose cost will need to be determined. Hence, we assume a fixed threshold point where the new component to be developed should have a minimum amount of specific design reusability.

## 电子工程代写|软件项目作业代写Software Project代考|Proposed Modeling

• 有多少可重用的设计组件可用于满足新的软件项目开发？
• 是否可以通过在其中加入可重复使用的设计组件来降低新的生产成本？
所提出的建模方法的主要贡献如下：
• 软件工程中的新方法：在研究中，所提出的模型首次考虑了现实世界的约束，以改进项目管理方法的数学模型。所提出的技术是基于简单的工具设计的，建模支持广泛的数学运算，以更好地增强优化过程。
• 高效的设计可重用性：所提出的模型使用富含统计运算的概率论来执行建模。该技术使用简单的参数，如天数、人力资源、生产成本、工作时间表等，并在简单的设计可重用性估计技术中对其进行建模。
• 高度可采用的设计原则：所提出技术的开发使用开源平台来提取软件度量套件信息（CK 度量）。因此，设计原则可以被认为是独立于平台的，即使给出了不同的问题域，也可以提供更好的采用灵活性。
• 稳健的优化技术：所提出的模型使用反向传播学习技术，用于确保卓越的一致性并降低可重用性估计的计算复杂度。它还使用了 LevenbergMarquardt 优化技术，用于解决非线性优化问题。在我们的案例中考虑的问题本质上也是非线性的；因此它找到了更好的适用性。

## 电子工程代写|软件项目作业代写Software Project代考|Research Methodologies

• 数据收集：我们考虑使用 JSP、Servlet 或 Struts 开发的一些示例软件项目（供应链管理），只是为了确保我们拥有大量用于开发设计的逻辑代码。我们使用 Metrics 1.3.6 [28] 工具来提取原始值Cķ指标，例如 CBO、RFC、WMC、DIT 和 NOC。
• 假设构建：该研究考虑了中小企业的现实生活场景，其中资源总是受到优化。考虑的三个问题是（i）资源数量，（ii）工作时间表和（iii）新开发的成本。所提出的优化技术是基于这三个约束考虑硬阈值方案而设计的。
• 描述性统计：研究的数值结果使用简单的描述性统计（均值、中位数、众数、偏度、峰度、方差、标准差等）来观察数据的趋势。
• 推论统计：该研究使用 t 检验和方差分析来得出数值数据的 p 值。这基本上用于计算所有 CK 指标的显着性值，以检查其对设计可重用性的可能影响。
• 可重用性的制定条件：我们认为代码可重用性的制定应该以高度灵活的方式进行。我们假设开发人员拥有交付项目的软件设计。假设组织正在从事类似的领域工作，开发人员可以很容易地想到获得类似类型的软件项目，但只需进行少量或少量更改。因此，提议的模型将用于确定新项目的设计数量与现有的可重用设计组件（来自先前项目）相匹配。该系统还需要设计可重复使用的组件，其成本需要确定。因此，我们假设一个固定的阈值点，在该阈值点上，要开发的新组件应该具有最小量的特定设计可重用性。

## 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。