Team‘s code standards in the bate sprint by FZU Flying Club_Beta Sprint


This assignment belongs to which courseEE308FZ Software Engineering https://bbs.youkuaiyun.com/forums/ssynkqtd-04
Where this assignment is requiredhttps://bbs.youkuaiyun.com/topics/617676810
Team nameFZU Flying Club
The goal of this assignmentHelp students understand Beta Sprint and promote course project progress
Other referencesNone

1 Naming Style

Class names should use UpperCamelCase. Method names, parameter names, member variables, and local variables should use lowerCamelCase. Constants should be named in all upper case with underscores. The middle bracket is part of the array type; define arrays as follows: String[] args. If design patterns are used in modules, interfaces, classes, or methods, reflect the pattern in the naming.

2 Constant Definitions

Avoid magic values in the code. Group constants based on their function and maintain them separately. Reuse constants at five levels: cross-application, intra-application, intra-subproject, intra-package, and intra-class. Use enumerated classes for variables with a limited range of values.

3 Code Format

Simplify the use of curly brackets. If there is empty space inside curly brackets, write {} succinctly without line breaks. Ensure a space between reserved words (if/for/while/switch/do) and parentheses. Maintain a space between the left and right sides of binary or ternary operators. Use a single space between the double slash of comments and the content. Simplify method parameter definition with a space after the comma for multiple parameters.

4 OOP Protocol

Avoid unnecessary object references for static variables or methods. Add @Override annotation for all override methods. Use Java’s variable parameters for the same parameter types and business meaning. Use equals method for comparison between objects of the same wrapper class type. Refrain from adding business logic in constructor methods; use an init method for initialization logic.

5 Collection Handling

Follow rules for hashCode and equals. Rewrite hashCode whenever equals is rewritten. Rewrite hashCode and equals for objects stored in sets. Use appropriate methods for converting sets to arrays and vice versa. Avoid explicit thread creation; use thread pools. Consider performance loss of locks in high concurrency and use lockless data structures when possible.

6 Control Statements

Include break or return in each case within a switch block. Include a default statement even if it contains no code. Always use curly braces in if/else/for/while/do statements. Avoid single-line coding and execute complex statements outside conditional judgments.

7 Annotation

Annotate classes, class attributes, and class methods using Javadoc specification. Use /**content**/ format and avoid // xxx methods. Annotate all abstract methods with Javadoc. Use Chinese annotations if necessary.

8 Other

Make efficient use of regular expression pre-compile function.

9 Exception Handling

Pre-check and avoid handling RuntimeException. Distinguish between stable and unstable code. Manually roll back transactions after catching exceptions in transaction code. Ensure caught and thrown exceptions are exact matches or the caught exception is the parent of the thrown exception.

10 Unit Testing

Follow the AIR principles for good unit tests. Tests must be fully automated, non-interactive, and repeatable. Avoid using System.out for human verification; use assert. Incremental code must pass unit tests. For database operations, prepare data using program insertion or import.

11 Security Regulations

Strictly bind SQL parameters to prevent SQL injection. Validate all user-requested parameters. Implement anti-scrubbing and anti-prohibited word filtering for user-generated content.

12 MySQL Database

12.1 Table Construction Regulations

Use is_xxx for fields expressing yes or no. Table and field names should use lowercase letters or numbers. Avoid plural nouns in table names. Name tables with “business_name_table_role”. Keep character storage length appropriate for search speed.

12.2 Index Statute

Build unique indexes for fields with unique characteristics. Use covering indexes for query operations. Highest differentiation in combined indexes should be on the far left.

12.3 SQL Statement

Use count(*) instead of count(column name) or count(constant). Avoid using ${} in ORM mapping to prevent SQL injection.

13 Engineering Structure

13.1 Application Layers

Simplify descriptions of application layers and focus on their main functionalities.

13.2 Second-party Library Dependency

Simplify the naming of version numbers and define a unified version variable when relying on a second-party library group.

13.3 Server

Recommend reducing the time_wait timeout for highly concurrent servers. Use forward for internal redirection and an URL assembly tool class for external redirection.

源码来自:https://pan.quark.cn/s/a3a3fbe70177 AppBrowser(Application属性查看器,不需要越狱! ! ! ) 不需要越狱,调用私有方法 --- 获取完整的已安装应用列表、打开和删除应用操作、应用运行时相关信息的查看。 支持iOS10.X 注意 目前AppBrowser不支持iOS11应用查看, 由于iOS11目前还处在Beta版, 系统API还没有稳定下来。 等到Private Header更新了iOS11版本,我也会进行更新。 功能 [x] 已安装的应用列表 [x] 应用的详情界面 (打开应用,删除应用,应用的相关信息展示) [x] 应用运行时信息展示(LSApplicationProxy) [ ] 定制喜欢的字段,展示在应用详情界面 介绍 所有已安装应用列表(应用icon+应用名) 为了提供思路,这里只用伪代码,具体的私有代码调用请查看: 获取应用实例: 获取应用名和应用的icon: 应用列表界面展示: 应用列表 应用运行时详情 打开应用: 卸载应用: 获取info.plist文件: 应用运行时详情界面展示: 应用运行时详情 右上角,从左往右第一个按钮用来打开应用;第二个按钮用来卸载这个应用 INFO按钮用来解析并显示出对应的LSApplicationProxy类 树形展示LSApplicationProxy类 通过算法,将LSApplicationProxy类,转换成了字典。 转换规则是:属性名为key,属性值为value,如果value是一个可解析的类(除了NSString,NSNumber...等等)或者是个数组或字典,则继续递归解析。 并且会找到superClass的属性并解析,superClass如...
基于遗传算法辅助异构改进的动态多群粒子群优化算法(GA-HIDMSPSO)的LSTM分类预测研究(Matlab代码实现)内容概要:本文研究了一种基于遗传算法辅助异构改进的动态多群粒子群优化算法(GA-HIDMSPSO),并将其应用于LSTM神经网络的分类预测中,通过Matlab代码实现。该方法结合遗传算法的全局搜索能力与改进的多群粒子群算法的局部优化特性,提升LSTM模型在分类任务中的性能表现,尤其适用于复杂非线性系统的预测问题。文中详细阐述了算法的设计思路、优化机制及在LSTM参数优化中的具体应用,并提供了可复现的Matlab代码,属于SCI级别研究成果的复现与拓展。; 适合人群:具备一定机器学习和优化算法基础,熟悉Matlab编程,从事智能算法、时间序列预测或分类模型研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①提升LSTM在分类任务中的准确性与收敛速度;②研究混合智能优化算法(如GA与PSO结合)在神经网络超参数优化中的应用;③实现高精度分类预测模型,适用于电力系统故障诊断、电池健康状态识别等领域; 阅读建议:建议读者结合Matlab代码逐步调试运行,理解GA-HIDMSPSO算法的实现细节,重点关注种群划分、异构策略设计及与LSTM的集成方式,同时可扩展至其他深度学习模型的参数优化任务中进行对比实验。
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