### 电子工程代写|软件项目作业代写Software Project代考|CS4530

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
• Advanced Probability Theory 高等楖率论
• Advanced Mathematical Statistics 高等数理统计学
• (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|Related Work

This section about the existing studies is carried out in the area of reusability about software engineering. Our prior study already reviewed existing techniques of enhancing design reusability in software engineering [3]. Recently, the work carried out by Alonso et al. [4] discussed the standard framework usage for reusability. Thakral et al. [5] presented a review work on reusability aspect pertaining to software development. A similar form of discussion toward challenges and importance of software reusability was presented by Soora [6]. Most recently, Tahir et al. [7] presented modeling of reusability emphasizing on components of software. Various techniques are briefed by the authors. Ahmaro et al. [8] discussed the exercised reusability of software methods considering case study of Malaysia using the qualitative approach. Singh and Singh [9] discussed reusability a framework considering the case study of cloud computing. The authors used a simulator called as CloudSim to validate their model. Basha and Moiz [10] discussed different techniques of reusability and introduced a methodology to perform configuration of vulnerable software components using coupling between object (CBO) metric. Zhu et al. [11] developed a framework that focuses on reusing a specific component in computational model.

Xiao et al. [12] developed a universal protocol for strengthening the reuse factor by considering multiple agent systems. The authors emphasized the usage of the design patterns for high-end architectures. The work carried out by Gupta and Rathi [13] introduced a modeling using predictive principle for forecasting the reusable software components based on original requirement of stakeholder and similarity match. ‘The technique also used Kabin-Karp algorithm for carrying out feature selection, genetic algorithm for optimization, and k-means for clustering operation. Adoption of evolution technique was also witnessed in the recent work of Singh et al. [14] where the author adopted fuzzy logic for evaluating their reusability modeling. The study considers multiple valued logical inputs for cohesion, coupling, size, and complexity to compute reusability. Monga et al. [15] and Geertsema [16] studied the potential influence of multiple parameters on software reusability. The prime emphasis was laid over the quality parameters as well as selection of a criterion of the software attributes, e.g., maintainability, understandability, flexibility, quality, portability, complexity, cost, size, and independence. The study outcome was assessed using cyclomatic complexity and Halstead complexity.

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

The proposed study considers the problem as – how to ensure better design reusability in object-oriented software project development? The problem is particularly focused on small and medium enterprise who has small number of human resource with more number of tasks to do from multiple clients. Hence, this is the best possible scenario to check if an efficient optimization policy can be laid by a novel technique. The proposed system identifies three different constraints for such organization, viz., human resource, cost, and work schedule. Based on these constraints, the problem is how to optimize productivity retaining the same or highly minimal resources. The problem pertaining human resource is basically to explore the possibility of using similar resources for ensuring increased productivity. Similarly, the problem pertaining to cost will focus on exploring the technique of minimizing operational cost of production without affecting the quality of delivery. Finally, work schedule is a hard constraint which will explore the chances of increased productivity keeping the uniform working schedule. The term productivity is strongly associated with design reusability, which will mean if the value of design reusability of software projects is more, it means productivity (or quality of the product) has been upgrading.

In order to understand the problem scenario, let us consider the criticality of the considered constraints for the proposed system with respect to optimization:

• Human resource: Smaller organization has smaller number of human resources who are always endowed with unproportionate workload. Although there is always a breakpoint for the capability of the human resources, it is not possible to identify the variable capacity of multiple human resources. For example, for a given same job, one employee can have more efficiency as others. Hence, modeling human resource as a constraint is one of the challenging tasks if considered along with design reusability concept.
• Work schedule: There is always constant work timing for all the human resources. However, the challenge is how much of the same work schedule can be used by an employee to design a new component with maximum design reusability? There may be multiple unseen factors that may have positive or negative influence on the employee’s productivity (in perspective of designing reusable components) in static work schedule.
• Cost: The term cost will mean amount of resources required by an employee to develop a new software project with maximum reusable components. For better margin of profit, the cost of new development must be as low as possible. Although cost cannot be lowered down to zero, it is challenging to perform predictive modeling to foresee some approximated value of cost of new development of upcoming software project.

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

• 人力资源：较小的组织拥有较少的人力资源，他们总是被赋予不成比例的工作量。虽然人力资源的能力总有一个断点，但不可能识别出多个人力资源的可变能力。例如，对于给定的相同工作，一名员工可以比其他员工更有效率。因此，如果与设计可重用性概念一起考虑，将人力资源建模为约束是一项具有挑战性的任务。
• 工作时间表：所有人力资源的工作时间总是固定的。然而，挑战在于员工可以使用多少相同的工作时间表来设计具有最大设计可重用性的新组件？在静态工作计划中，可能有多个看不见的因素可能对员工的生产力产生积极或消极的影响（从设计可重用组件的角度来看）。
• 成本：成本一词是指员工开发具有最大可重用组件的新软件项目所需的资源量。为了获得更好的利润率，新开发的成本必须尽可能低。虽然成本不能降低到零，但执行预测建模以预测即将到来的软件项目的新开发成本的一些近似值是具有挑战性的。

## 广义线性模型代考

statistics-lab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。