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QUICK EATSRESTAURANT CHOOSING APPLICATION DESIGN PRESENTATION

CS 410 - Team Orange

November 28th 2018

TABLE OF CONTENTS1. Team Biography

2. Problem Statement

2.1. Dining facts

2.2. Current Process

3. Solution

3.1. Solution Process

3.2. Algorithm

4. Competition

4.1. Matrices

5. Project development

5.1. Major Functional Components

5.2. Work Breakdown Structure5.3. Site map5.4. Database5.5. Algorithm5.6. Risks

• Technical• Customer

6. Prototype

7. Summary

8. References

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TEAM BIOGRAPHY

CS 410 TEAM ORANGE - OCTOBER 7TH, 2018 3

Erick Cordero

Zachery Miller Tavi Sigas

Jacob OglesbyRyan Ha Mariah Archer

Logan Swartz

CS 410 TEAM ORANGE – November 28th, 2018

Work Breakdown Structure

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User Roles● General User - has ownership of profile to participate in

group choosing a restaurant ● Restaurant User - has ownership of restaurant profile and is

allowed to modify restaurant characteristics● Administrator - can view feedback from other users and

assign ownership of a restaurant profile to a restaurant user● Tester - has access to all components of application to

ensure quality testing

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Site Map

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Restaurant UI

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Customer UI

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Admin UI

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Database Schema

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Database Schema

User Profile•Name

•Id•Date of Birth

•Friend

Restaurant Profile•Name

•Id•Cuisine

•Price

•Attire

•Location

•Overall Rating

•Reservation

•Delivery

•Alcohol

•Outdoor Seating11CS 410 TEAM ORANGE – November 28th, 2018

Algorithm

❑ Account Creation

❑ Authentication

❑ Login

❑ Data Analysis

❑ Notification

❑ Result Matching

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Account Creation

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Authentication

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Login

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Result Matching

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Notification

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Data Analysis

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Risk Matrix

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T1: Large Scale Software Bugs

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Description: Software bugs resulting from large scale software development

Mitigation: Support of a technical issue reporting feature.

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T2: System Security

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Description: Sensitive password and geographic information at risk

Mitigation: Require strong passwords. Use best authentication strategies

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T3: Disfunction API

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Description: Changes to geographic API causes dysfunction

Mitigation: Continual testing to keep app up to date

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C1: Customer dissatisfaction

Description: Customer not impressed with recommendations

Mitigation: Support of rating system that will prevent the app from recommending restaurant again

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C2: Incorrect information

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Description: Restaurant information not being current

Mitigation: Supports features to allow restaurants to manually update information and for customers to report data inconsistencies

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C3: Marketability

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Description: Group dining not a regular occurrence for everyone so there would be a limited appeal to use app

Mitigation: Support a new restaurant recommendation algorithm that can appeal to a wider audience

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Prototype

https://xd.adobe.com/view/34fec80f-2f71-4e28-7fdd-f790679363f5-42cf/?fullscreen

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PRESENTATION SUMMARY

❑ Quick Eats provides a fast and efficient way for groups to determine an optimal restaurant

❑ Quicks Eats, with its well defined parameters required along with a solution process, is a feasible project

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REFERENCES

• [1]:https://www.statista.com/statistics/650054/frequency-of-dining-out-at-fsr-restaurants-us-by-age/• [2]:https://www.7shifts.com/blog/15-restaurant-stats-for-2018/• [3]:https://www.thebalancesmb.com/millennial-restaurant-dining-trends-2888291• [4]:https://www.bls.gov/charts/american-time-use/emp-by-ftpt-job-edu-h.htm• [5]:https://project.wnyc.org/commute-times-us/embed.htm• [6]:https://blogs.voanews.com/all-about-america/2015/05/18/top-10-most-popular-ethnic-cuisines-in-

us/• [7]:http://www.businessmanagementideas.com/management/organisation-management/3-main-factor

s-affecting-group-functions/4889• [8]:https://mlsdev.com/blog/62-the-benefits-of-mobile-apps-for-restaurants

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