FUZHUAN: Day 3-4 — SCRUM and PM Report

FUZHUAN 2024-12-21 00:31:48
Which course does this assignment belong toEE301
Where are the requirements for this assignment?Teamwork—beta Spring
Team Name

FUZHUAN

The objective of this assignmentDay 3-4 — SCRUM and PM Report
Other Reference DocumentsMethod of Construction ( 《构建之法》)

目录

 

SCRUM Part

PM Report

  Expected Tasks Overview

  Completed Tasks

  Remaining Tasks

  Burndown Chart

Changes in Task Volume


SCRUM Part

Team MemberAccomplishmentsTime SpentRemaining TasksIssues/ProblemsPlan for Tomorrow
Zhang YuxinDeveloped secondary features, including user settings and product categorization.6 hoursComplete final API integrations.Issues with API response format.Finish API integration and test functionality.
Luo YuxinFixed minor frontend issues and began implementing user feedback.5 hoursImplement remaining frontend features.Compatibility issues with different devices.Work on device responsiveness and finalize user flows.
Yang RuoxinCompleted user interface for product details and feedback section.5 hoursAdd filters to search functionality.UI components breaking on certain pages.Fix UI bugs and ensure proper page transitions.
Lin JiahuiImplemented product listing features and adjusted product view page.6 hoursFinalize user purchase flow.Data display issues on product pages.Debug and optimize product listing pages.
Sun XingCompleted API integration for product data management.5 hoursTest integration with the frontend.Minor bugs with product data retrieval.Conduct frontend testing to resolve bugs and ensure smooth flow.
Chen YikeFixed database schema issues and improved performance for product listing.5 hoursImplement advanced search query optimizations.Slow database queries on large data sets.Optimize database queries for faster performance.

 


PM Report

  Expected Tasks Overview

TaskEstimated TimeIssues Count
Secondary feature development16 hours4
Frontend integration with feedback10 hours3
API optimization and testing8 hours2

  Completed Tasks

TaskTime SpentIssues Completed
Secondary feature development14 hours3
Frontend integration with feedback9 hours2
API optimization and testing6 hours2

  Remaining Tasks

TaskRemaining TimeRemaining Issues
Secondary feature development2 hours1
Frontend integration with feedback1 hour1
API optimization and testing2 hours1

  Burndown Chart

 

Changes in Task Volume

The volume of bugs and issues increased during the testing phase due to unexpected UI compatibility issues across different devices. We also encountered several problems with API responses that required additional time for debugging.

...全文
190 回复 打赏 收藏 转发到动态 举报
写回复
用AI写文章
回复
切换为时间正序
请发表友善的回复…
发表回复
内容概要:本文围绕水陆两栖无人机的任务规划与执行问题,提出了一种基于Matlab实现的智能路径规划解决方案,重点融合粒子群优化算法(PSO)与遗传算法(GA)进行三维环境下的避障路径规划。研究系统性地构建了从复杂地形建模、任务需求分析到算法设计与仿真实验的完整流程,实现了在多约束、动态障碍物等复杂环境下无人机的高效任务调度。通过对GA与PSO两种智能优化算法在路径长度、收敛速度、路径平滑度及稳定性等方面的对比分析,深入探讨了各自在无人机路径规划中的适用场景与性能差异,验证了所提方法在提升任务执行效率与安全性方面的有效性。该方案不仅适用于水陆交互通用场景,也为多模态无人系统自主导航提供了可扩展的技术框架。; 适合人群:具备一定Matlab编程能力和算法基础,从事无人机路径规划、智能优化算法研究、自动化控制或相关领域科研工作的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于水陆两栖无人机在复杂自然环境(如江河湖海与陆地交错区域)中的自主巡航与任务执行;②比较遗传算法与粒子群算法在三维动态路径规划中的优化性能,指导实际工程中算法选型;③为多约束条件下无人系统的自主决策与实时避障提供算法支持与仿真验证平台。; 阅读建议:建议读者结合提供的Matlab代码进行动手实践,重点关注两种算法的数学建模过程、适应度函数设计、参数调优策略及路径生成逻辑,通过仿真实验直观对比算法性能差异,深入理解智能优化算法在复杂路径规划问题中的应用机制与优化潜力。

173

社区成员

发帖
与我相关
我的任务
社区描述
2401_MU_SE_FZU
软件工程 高校
社区管理员
  • FZU_SE_TeacherL
  • 助教-吴可仪
  • 助教-孔志豪
加入社区
  • 近7日
  • 近30日
  • 至今
社区公告
暂无公告

试试用AI创作助手写篇文章吧