FocusFlow β Sprint Plan

FOCUS_2025_SE 2025-12-28 14:59:34

目录

  • Project Overview
  • Introduction
  • Part 1: Assumptions, Goals, and Sprint Plan
  • Part 2: Design, Implementation, Testing, and Release
  • Blog Planning and Sprint Schedule
  • Specific Requirements for Sprint Essay Blogs
  • Conclusion

Project Overview

Course2501_MU_SE_FZU
Assignment RequirementSixth Assignment - Beta Sprint
Team NameFocus_2025
Goal of this assignmentClarify Code Standards, Sprint Tasks, and Plans for the team Beta Sprint
Other referencesIEEE Std 830-1998, GB/T 8567-2006

Introduction

Following our Alpha retrospective, we enter the Beta sprint (Dec 28, 2025 - Jan 6, 2026) with clarity and purpose. This blog outlines our detailed plan to address previous shortcomings and deliver meaningful improvements to FocusFlow. We answer the core questions related to our assumptions, goals, plans, and our approach to design, implementation, testing, and release.

Part 1: Assumptions, Goals, and Sprint Plan

A. Core Assumptions:

  1. Improving specific, high-friction user interactions will disproportionately increase overall user satisfaction.
  2. Implementing basic engineering processes (Git flow, code review) will reduce bugs and improve development speed in the latter half of the sprint.
  3. Proactively writing and scheduling blogs will provide better project visibility and reduce last-minute stress.

B. Sprint Goal:
To successfully complete a 7-working-day Beta sprint, delivering a polished FocusFlow v1.1 that demonstrably improves usability, interface, and code quality over the Alpha version.

C. Detailed Plan & Improvements for the Next Phase:

Area for ImprovementAlpha Phase IssueBeta Phase Action Plan
1. Team Division of LaborVague roles, bottlenecks.Define clear roles: Frontend Lead (UI/Animations), Backend/Logic Lead (APIs/State), QA/Process Lead (Testing/Git). Tasks from the backlog are assigned to roles upfront.
2. Tool & ProcessChaotic Git, no testing.Enforce Git Feature Branch Workflow: All changes via PRs with code review. Introduce a testing protocol: A mandatory manual smoke test checklist for each PR.
3. Blog & Time PlanningLast-minute, low-quality blogs.Create a publishing schedule (see below) and assign a blog owner for each post. Blogs are drafted incrementally alongside development.
4. New Features & PolishClunky UX, unengaging UI.Implement 5 priority features (F1-F5) derived from user pain points and polish goals.

Part 2: Design, Implementation, Testing, and Release

A. Features to be Improved/Added (Design & Implementation):

  1. F1: Streamlined Password Reset: Redesign flow to use phone number only, with a confirmation step and a 10-second delay button for security.
  2. F2: Animated Homepage: Implement gradient background and typewriter text animations for a dynamic welcome.
  3. F3: Visual Task Management: Transform task lists into card components with expand/collapse for completed items.
  4. F4: Focus Mode Guard: Add a persistent warning modal for any interaction during an active timer.
  5. F5: Personalization: Correctly display the logged-in user's first name in the app header.

B. Testing Strategy:

  • Code Review: Mandatory for all pull requests.
  • Manual Smoke Testing: A defined checklist (login, create task, start timer, test new password reset) executed before merging any PR affecting core flows.
  • User Testing: We will conduct a structured session with 3-5 external users in the middle of the sprint. Findings will be documented in a dedicated User Usage Survey Report blog.

C. Release Plan:

  • The final deliverable will be a standalone APK file and a web demo link, ensuring we are not dependent on app store review cycles for our deadline.
  • All source code, final builds, and documentation will be tagged in our GitHub repository by the final deadline (January 6, 2026, 23:59).

Blog Planning and Sprint Schedule

DatePrimary Development FocusBlog Publication (Not on the same day per team)
Dec 28-29Sprint Planning, F1 (Password Reset) backend1. Alpha Phase Retrospective (Dec 28/29)
Dec 30F1 Frontend, F5 (User Name)2. Preparing for Everything (Dec 29/30)
Dec 31F2 (Homepage Animations)3. Beta Sprint Essay 1 (Focus: F1)
Jan 1F3 (Task Cards)4. Beta Sprint Essay 2 (Focus: F2)
Jan 2F4 (Focus Guard), Integration5. Beta Sprint Essay 3 (Focus: F3) & 6. Code Standards
Jan 3Testing, Polish, User Testing Session7. Beta Sprint Essay 4 (Focus: F4/F5)
Jan 4Fixes from feedback, Final Integration8. User Usage Survey Report
Jan 5Final Build, Documentation, Defense PPT9. Beta Sprint Essay 5 (Sprint Wrap-up)
Jan 6Final Checks & Submission10. Beta Sprint Summary Essay & Top-of-line Collection

Specific Requirements for Sprint Essay Blogs

Each of our 5 beta sprint essays will strictly contain:

  1. Scrum Section: A table for each member detailing: Yesterday's achievement (task, time spent), Problems, Today's plan. We will include code commit links/screenshots for dev work and test result screenshots for QA work. A unique, daily scrum meeting photo will be attached.
  2. PM Report: A summary of total project tasks (# of issues), completed work, and remaining work. We will include a Burn-Up Chart, a chart showing task volume changes (for discovered work), and the latest running screenshots/gifs of the featured module.

Conclusion

We are entering the Beta sprint not just with a list of features, but with a battle-tested plan to improve how we work. By combining targeted feature development with strengthened engineering practices, we aim to deliver a superior product and a more professional team performance.

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内容概要:本文围绕“基于周期增强时序预测与帕累托多目标优化的建筑群储能鲁棒调度策略”开展研究,提出了一种融合高精度预测与多目标优化的综合调度方法。首先,采用周期增强的时序预测技术对建筑群的电力负荷与可再生能源出力进行精准建模,充分挖掘数据的周期性特征以提升预测准确性;其次,构建基于帕累托前沿的多目标优化模型,综合考虑经济成本最低、碳排放最小化以及系统运行鲁棒性等多重目标;最后,引入鲁棒优化机制应对预测不确定性,增强调度方案在复杂动态环境下的适应能力与稳定性。研究通过Python编程实现了完整的算法流程,涵盖数据预处理、模型构建、优化求解与结果分析,适用于建筑群或园区级综合能源系统的协同优化调度。; 适合人群:具备一定电力系统基础知识、优化算法理论及Python编程能力的研究生、科研人员和工程技术人员,尤其适合从事综合能源系统、智能电网、储能调度与低碳运行等领域的研究人员。; 使用场景及目标:①应用于园区级或多建筑群能源系统,实现经济性与低碳化协同优化调度;②解决可再生能源波动性和负荷不确定性带来的调度风险,提升系统鲁棒性;③为相关科研提供一套可复现、可扩展的周期性预测与多目标鲁棒优化集成技术框架; 阅读建议:建议结合文中提供的Python代码进行实践操作,重点理解周期增强预测模块的设计逻辑与帕累托最优解集的求解过程,可通过更换实际数据集、调整权重策略或引入新约束条件进行拓展研究,从而深化对鲁棒调度机制与多目标权衡关系的理解与应用能力。

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