Code Review

Code review

Optimization
 - Optimal Use of String Literals
   - Use string buffer for concatenation operations instead of strign literal
 - Avoid Variable Instantiation Inside Loops
 - Optimize Loop Exit Condition
   - sample:

     Wrong Block
     While(Loop Exit Condition Through Method Call) {
         Loop Processing
     }
    
     Right Block
     Loop Exit Condition Variable = Loop Exit Condition Through Method Call
     While (Loop Exit Condition Variable) {
         Loop Processing
     }

 - Conduct Read/Write Operations in Blocks
 - Perform Lazy Instantiation of Variables
 - Use Synchronization Carefully
 - Optimize Object Allocation and De-allocation
   - Control Cyclomatic Complexity
 
Code Maintainablility
 - Adhere to Coding Standards
   Every development assignment should have a set of coding standards, which form the program code template. Adherence to coding standards will help:
   - Achieve consistency in work products
   - Provide quality deliverables, because coding standards are created by experts to capture best practices
   - Make the program easy to understand and maintain it by improving code readability
   - Make reviews and sign-offs less time-consuming
   - Reduce rework, as it directly impacts schedule and cost
 - Use Consants
 - Avoid the Use of Deprecated Methods

UI Standards
 - Avoid Hard Coding of String Literals
 - Avoid Hard Coding of UI Component Dimensions
 - Use Threading Effectively

Exception Handing
 - Ensure Database Resources are Released
 - Put Loop Inside Exception Handling Blocks
 Wrong Block
 Loop Start
   Code Block
   Exception Handing {
   }
 Loop End

 Right Block
 Loop Start
   Code Block
 Loop End
 
 Exception Handing {
 }
 - Log Exceptions with Debugging Infromation

Database Resources Handing
 - Open connection Just-in-time
 - Optimaize the Frequency of Database Access
 - Perform Database Operations in Bathes
 - Optimazie Use of Database Tables Partitioning
 - Optimazie Use of Database Table Indexing
 - Optimazie Use of Database Table Views
 - Optimazie Use of Database Stored Procedures

Metrics Relevant to Code Review
 - Defect Density
   Defect Density = Number of Defects Found / Total Lines of Code
 - Cost of Quality
   Cost of Qulity(CoQ) = [(Appraisal Cost + Preventive Cost + Failure Cost) / Total Project Effort] * 100%
    Appraisal Cost = Hours spent on reviews and testing
    Preventive Cost  = Hours spent on quality audits, defect prevention, metrics data collection, and analysis
    Failure Cost = Hours spent on fix and rework
    Total Project Effort = Total hours spent by the project(development, project management, and quality activities)
 - Cost of Rework
   Cost of Rework(CoR) = (Failure Cost / Total Project Effort) * 100 %
 - Phase Containment Effectiveness
   Phase Containment Effectiveness = (Number of Defects Contained / Number of Defects Injected) * 100%
 - Defect Orgin
   Defect Origjin = Number of Defects Injected / Total LOC
   LOC: the number of defects injected per Line of Codes
 - Defect Injection Rete
   Defect Rate = Number of Defects Injected /Total Development Effort
    Number of Defects Injected = Number of defects injected per stage found prior to and after delivery or release to onshore or client in a requirement of release.
    Total Development Effort = Sum of development effort expended per stage of work scope for the requrement or release. This excludes management, training, and defect prevention hours.
 - Peer Review Effectivess
   Peer Review Effectivess = [Number of Defects Found/ (Number of Defects Found + Number of Defects Missed)] * 100%
    Number of Defects Found = Number of defects found per stage
    Number of Defects Missed = Total number of peer review defects from current and preceding stages that were detected in subsequent stages
 - Peer Review Efficiency
   Peer Review Efficiency = Number of Defects Found / Total Time Spent on Peer Reviews
    Number of Defects Found = Number of defects found per stage
    Total Time Spent on Peer Reviews = Hours spent on review preparation time, review time, and documenting review points per stage
 - Peer Review Compliance
   Peer Review Compliance = (Number of Peer Reviews Conducted / Number of Peer Reviews Planned)*100%
 - Delevered Defect Density
   Delevered Defect Density = Number of Defect Found After Delivery/ Total Lines of Code

标题基于SpringBoot+Vue的社区便民服务平台研究AI更换标题第1章引言介绍社区便民服务平台的研究背景、意义,以及基于SpringBoot+Vue技术的研究现状和创新点。1.1研究背景与意义分析社区便民服务的重要性,以及SpringBoot+Vue技术在平台建设中的优势。1.2国内外研究现状概述国内外在社区便民服务平台方面的发展现状。1.3研究方法与创新点阐述本文采用的研究方法和在SpringBoot+Vue技术应用上的创新之处。第2章相关理论介绍SpringBoot和Vue的相关理论基础,以及它们在社区便民服务平台中的应用。2.1SpringBoot技术概述解释SpringBoot的基本概念、特点及其在便民服务平台中的应用价值。2.2Vue技术概述阐述Vue的核心思想、技术特性及其在前端界面开发中的优势。2.3SpringBoot与Vue的整合应用探讨SpringBoot与Vue如何有效整合,以提升社区便民服务平台的性能。第3章平台需求分析与设计分析社区便民服务平台的需求,并基于SpringBoot+Vue技术进行平台设计。3.1需求分析明确平台需满足的功能需求和性能需求。3.2架构设计设计平台的整体架构,包括前后端分离、模块化设计等思想。3.3数据库设计根据平台需求设计合理的数据库结构,包括数据表、字段等。第4章平台实现与关键技术详细阐述基于SpringBoot+Vue的社区便民服务平台的实现过程及关键技术。4.1后端服务实现使用SpringBoot实现后端服务,包括用户管理、服务管理等核心功能。4.2前端界面实现采用Vue技术实现前端界面,提供友好的用户交互体验。4.3前后端交互技术探讨前后端数据交互的方式,如RESTful API、WebSocket等。第5章平台测试与优化对实现的社区便民服务平台进行全面测试,并针对问题进行优化。5.1测试环境与工具介绍测试
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