Which course does this assignment belong to	2401_Mu_SE_FZU
Where is the requirement for this assignment	Fifth Assignment——Alpha Sprint
Team name	Smart Fishpond Access
The goal of this assignment	1. Establish coding guidelines. 2. Sprint tasks and plans
Other references	Alibaba Java Development Manual Ultimate Edition v1.3.0 Huawei Internal Code Standards Huawei Cloud JavaScript coding specification

 

Content

1. Team's code standards

2. Overview: Development Task Analysis

2.1 Overview of Development Tasks

2.2 Work Completed So Far

2.3 Next Sprint Plan

3. Team Responsibilities

4. Daily Task Plan

Day 1: November 27th

Day 2: November 28th

Day 3: November 29th

Day 4: November 30th

Day 5: December 1st

Day 6: December 2nd

Day 7: December 3rd

Day 8: December 4th

Day 9: December 5th

Day 10: December 6th

5. PSP Table

6. Gantt chart

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1. Team's code standards

The code standard is uploaded on Github, see codestyle.

 

2. Overview: Development Task Analysis

The core goal of the current project is to develop a Monitoring System for Deep Pond Aquaculture, combining hardware devices, IoT middleware, front-end applications, and deep learning algorithms to provide efficient and intelligent management tools for fish farmers.

2.1 Overview of Development Tasks

The development tasks are divided into the following three layers,

• Hardware Service Layer

  • Embedded devices have been developed to collect water quality parameters such as water temperature, water depth, air temperature, and humidity.

  • The communication module and sensor network architecture have been set up, supporting real-time monitoring of water quality parameters.

• Data Persistence Layer

  • An IoT middleware based on the EXPRESS framework and ORM technology has been developed to enable device data transmission.

  • Backend development based on MySQL database has been completed to support real-time data storage and management.

  • An expert database based on the NEO4j graph database have been established to support the intelligent Q&A functionality.

  • A machine learning algorithm (KF-PSO-BPNN) has been developed and deployed on Ali server to predict water temperature and perform data analysis.

  • A deep learning algorithm (BERT) has been implemented for semantic recognition and intelligent Q&A (core model design has been completed).

• Application Display Layer

  • The Android application, based on Vue3 framework and Echarts, has been developed to support real-time water quality monitoring, alarm notifications, historical records, and device management.

  • The Web platform, based on HTML and CSS, has been developed to support multi-device location tracking, weather forecasting, and intelligent Q&A functionality.

2.2 Work Completed So Far

After the initial development and technical integration, the following tasks have been completed,

• Hardware Layer

  • Embedded development is complete, with the sensor network operating stably to monitor multi-layer water temperatures in real time.

  • Devices have been deployed and tested, and the data transmission module is functioning properly.

• Data Persistence Layer

  • The MySQL backend database architecture has been completed to store and manage water quality data.

  • The IoT middleware based on the EXPRESS framework has been implemented to ensure stable device data transmission.

  • The graph database has been built, and the knowledge graph has been initially completed with expert knowledge organized.

  • The KF-PSO-BP algorithm has been implemented and passed initial tests, with predicted results meeting expectations.

• Application Display Layer

  • The UI design for the Android app and Web platform has been completed.

2.3 Next Sprint Plan

In the upcoming sprint phase (November 27, 2023 - December 6, 2023), the team will focus on remaining front-end development tasks, testing, and documentation. The specific plan is as follows:

Timeline: November 27, 2023 - December 6, 2023

 

3. Team Responsibilities

The distribution of labor is shown below. 

FZU ID	Distribution of Labor	Description
832201109	Front-end and back-end	Project initialization, page framework set up
832201117	Front-end and back-end	Development of login and registration pages, and implementation of validation features
832201110	Front-end and back-end	Development of device management and real-time monitoring
832201111	Front-end and back-end	Development of smart Q&A and device location
832201112	Front-end and back-end	Deployment and interface optimization
832201127	Front-end and back-end	Frontend and backend API integration and debugging
832201318	Testing Team	Frontend and backend API integration and debugging
832201306	Testing Team	Executing frontend and backend interaction, and functional module tests
832201307	Testing Team	Device location and database optimization
832201313	Testing Team	Executing frontend and backend interaction, and functional module tests
832201325	Testing Team	Device location and database optimization
832201116	Blog Team	Writing and publishing the sprint blog
832201114	Blog Team	Writing and publishing the sprint blog
832201120	PPT Team	Create the defense PPT, summarizing project progress and outcomes
832201105	PPT Team	Create the defense PPT, summarizing project progress and outcomes
832201104	PPT Team	Create the defense PPT, summarizing project progress and outcomes

Four teams are shown below. 

• Development Team (6 members)

  Responsible for front-end and back-end functionality development and API implementation.

• Testing Team (5 members)

  Responsible for designing and executing test cases to ensure functionality completeness.

• Blog Team (2 members)

  Responsible for writing, publishing, and updating blogs to regularly showcase project progress.

• PPT Team (3 members)

  Responsible for preparing the final presentation PPT on the last day to showcase the project results.

 

4. Daily Task Plan

Day 1: November 27th

Development Tasks

• Front-end Team

  • Initialize Vue3 project and set up the basic page framework.

  • Create the login page (Login.vue) and device management page (Devices.vue).

• Back-end Team

  • Initialize Spring Boot project, complete the database table (Users) for the user module.

  • Configure MySQL database connection and complete the registration and login API.

Testing Tasks

• Write test cases for user registration and login.

Blog Tasks

• Write the blog "Code Standards and Sprint Plan", describing the development tasks, timeline, and objectives.

• Create the "Special Blog Collection" page to record subsequent blog links.

Corresponding Teams

• Development Team, Testing Team, Blog Team.

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Day 2: November 28th

Development Tasks

• Front-end Team

  • Complete the registration page (Register.vue) and implement input validation.

• Back-end Team

  • Implement back-end logic for user registration and login, returning JWT.

Testing Tasks

• Use Postman to test the registration and login API and verify front-end and back-end interaction.

Blog Tasks

• Publish the first sprint blog: Show burndown chart, project initialization progress, and screenshots.

Corresponding Teams

• Development Team, Testing Team, Blog Team.

---

Day 3: November 29th

Development Tasks

• Front-end Team

  • Develop basic functionality for the device management page, including add and delete buttons for devices.

  • Create a multi-device list display page.

• Back-end Team

  • Implement APIs for adding, deleting, and querying devices.

Testing Tasks

• Test the device management module's API functionality.

Blog Tasks

• Update "Special Blog Collection."

Corresponding Teams

• Development Team, Testing Team.

---

Day 4: November 30th

Development Tasks

• Front-end Team

  • Integrate Axios to call the device management API, ensuring device add and delete functions work correctly.

• Back-end Team

  • Simulate the real-time monitoring data API (GET /monitoring/{deviceId}).

Testing Tasks

• Write test cases for the real-time monitoring module to validate data format and stability.

Blog Tasks

• Publish the second sprint blog: Show progress of the device management module, with burndown chart and screenshots.

Corresponding Teams

• Development Team, Testing Team, Blog Team.

---

Day 5: December 1st

Development Tasks

• Front-end Team

  • Develop the real-time monitoring page (Monitoring.vue) and integrate Echarts to display real-time data curves.

• Back-end Team

  • Integrate water temperature prediction algorithm and provide prediction API (GET /monitoring/predict/{deviceId}).

Testing Tasks

• Test the response time and accuracy of the prediction algorithm API.

Blog Tasks

• Update "Special Blog Collection".

Corresponding Teams

• Development Team, Testing Team.

---

Day 6: December 2nd

Development Tasks

• Front-end Team

  • Implement integration of real-time monitoring page and prediction data display.

• Back-end Team

  • Develop alarm record API.

Testing Tasks

• Test the alarm record module to ensure data storage and query functionality.

Blog Tasks

• Publish the third sprint blog: Show progress on real-time monitoring and prediction functionality.

Corresponding Teams

• Development Team, Testing Team, Blog Team.

---

Day 7: December 3rd

Development Tasks

• Front-end Team

  • Develop the intelligent Q&A page (QA.vue), integrating voice input functionality.

• Back-end Team

  • Complete the intelligent Q&A API, integrating the BERT model and knowledge graph.

Testing Tasks

• Test the semantic recognition effect of the intelligent Q&A feature.

Blog Tasks

• Update "Special Blog Collection".

Corresponding Teams

• Development Team, Testing Team.

---

Day 8: December 4th

Development Tasks

• Front-end Team

  • Develop the multi-device location page (Location.vue) and integrate AMap API.

• Back-end Team

  • Develop the device location API to provide latitude and longitude data.

Testing Tasks

• Test the functionality and map loading performance of the device location module.

Blog Tasks

• Publish the fourth sprint blog: Show progress on intelligent Q&A and device location modules.

Corresponding Teams

• Development Team, Testing Team, Blog Team.

---

Day 9: December 5th

Development Tasks

• Front-end Team

  • Integrate all feature pages and optimize the interface layout.

• Back-end Team

  • Perform database optimization to improve query efficiency.

Testing Tasks

• Complete system-wide testing and fix all identified issues.

Blog Tasks

• Write a testing blog, describing testing tools, test case design, and results.

Corresponding Teams

• Development Team, Testing Team, Blog Team.

---

Day 10: December 6th

Development Tasks

• Front-end Team

  • Package the front-end project and prepare for deployment.

• Back-end Team

  • Deploy the back-end service to Ali and perform final integration testing.

Testing Tasks

• Conduct the final regression testing to ensure the system runs stably.

Blog Tasks

• Publish the fifth sprint blog: Summarize the sprint results, including complete screenshots and videos of the system running.

PPT Tasks

• Prepare the defense PPT

  • Showcase the burndown chart, project functionalities, testing results, and improvement plans.

Corresponding Teams

• Development Team, Testing Team, Blog Team, PPT Team.

 

5. PSP Table

Task Phase	Task Description	Estimated Time (Days)	Actual Time (Days)	Notes
Project Initialization	Initialize front-end and back-end projects, set up the basic framework, complete the Users database table and MySQL configuration	1	1	Front-end and back-end initialization tasks
User Module Development	Develop user registration and login pages, integrate input validation, implement back-end APIs (registration, login, JWT)	1	1.5	Front-end and back-end development for user module
Device Management Module	Develop device management page (add/delete device functions), implement device management API, integrate front-end and back-end	1.5	1.5	Device management development and integration
Real-Time Monitoring Module	Develop real-time monitoring page, integrate Echarts to display data curves, simulate real-time monitoring data API	1.5	1.5	Real-time monitoring page development and back-end API simulation
Prediction Feature Development	Integrate water temperature prediction algorithm and provide prediction API, display prediction data on the front-end	1	1	Prediction feature development and data integration
Alarm Record Feature	Develop alarm record API, conduct testing to ensure data storage and query functionality	1	1	Alarm record module development and testing
Intelligent Q&A Module	Develop the intelligent Q&A page, integrate voice input functionality, implement BERT model and knowledge graph API	1.5	1.5	Intelligent Q&A feature development and integration
Device Location Module	Develop device location page, integrate map API, implement device location API	1	1	Device location feature development and map integration
Interface Optimization and Integration	Integrate all modules, optimize interface layout, and integrate front-end and back-end functions	1.5	1.5	Module integration and interface optimization
System Testing and Deployment	Conduct full system testing, regression testing, fix any issues, package front-end project, and deploy back-end service	1.5	1.5	System testing and deployment preparation
Total		10	10

 

6. Gantt chart

The Gantt Chart of the 10 days is hwin below.