Arranged Og
Arranged Og
An online auction system is a digital platform that facilitates the buying and selling of
goods through an auction format over the inter net. This system allows sellers to list items
for bid and buyers to place bids on those items in real time, creating a competitive
Key
Features:
2. Listing Items: Sellers can list items with descriptions, images, and starting bid prices.
3. Bidding Process: Buyers can place bids within a set timeframe. The system may
support automatic bidding, where the system places incremental bids on behalf of the
user up to a speci
ed limit.
4. Noti
cations: Users receive alerts for bid status changes, auction endings, and other
important updates.
5. Payment Processing: Integrated payment gateways enable secure transactions,
"
ciently.
6. Feedback and Ratings: After transactions, users can leave feedback and ratings,
7. Admin Panel: Administrators manage the platform, overseeing user accounts, auction
Advantages:
- Global Reach: Sellers can reach a broader audience beyond their local market.
- Convenience: Users can participate from anywhere with inter net access.
- Dynamic Pricing: Auctions can drive prices higher through competitive bidding.
Challenges:
- User Experience: A complex interface can deter users, so usability must be prioritized.
Conclusion:
CHAPTER
"
bene
ting both buyers and sellers. As technology evolves, these systems continue to
Background.
The online auction system provides a platform for buying and selling items through competitive
bidding. With the growth of e-commerce, this system aims to enhance the auction experience,
"
Objectives.
1. Facilitate Transactions: Provide a seamless platform for buyers and sellers to engage in
auctions, ensuring smooth and secure transactions.
2. Enhance User Experience: Create an intuitive and user-friendly interface that simpli
es
3. Expand Market Reach: Enable sellers to access a global audience, increasing the
4. Ensure Security: Implement robust security measures to protect user data and prevent
er real-time noti
and e
"
cient
Þ
Purpose.
1. Facilitate Buying and Selling: The primary purpose is to connect buyers and sellers, allowing
ts: By fostering competition, the system aims to drive prices higher than
3. Provide Access to Diverse Markets: Online auction systems allow sellers to reach a global
4. Enhance Transparency: By allowing public bidding and display of bidding history, the system
collectible items that may not have a broad market in traditional retail settings.
6. Streamline Transactions: The system automates processes such as bidding, payment, and
noti
"
7. Encourage User Interaction: By incorporating features like feedback and ratings, the system
Scope.
This system will cover functionalities such as user registration, auction creation, bidding, payment
processing, and feedback collection. It targets both individual users and businesses.
Applicability.
Online auction systems can be applied across various sectors and use cases, o
ering
1. Consumer Goods:
    - General Merchandise: Items like electronics, clothing, and home goods can be
- Collectibles: Rare items, antiques, and collectibles often attract competitive bids from
enthusiasts.
2. Real Estate:
- Properties can be auctioned to expedite sales, allowing buyers to place bids based on
xed prices.
3. Automobiles:
- Online auctions are commonly used for selling cars, motorcycles, and other vehicles,
- Auction platforms cater to artists and collectors, providing a marketplace for unique
5. Business Assets:
- Nonpro
Achievements.
The development of the Online Auction System has led to several signi
essential features such as user registration, auction listing, and real-time bidding.
2. User Acceptance Testing: Positive feedback was gathered from initial user testing, indicating
"
ciently.
encryption and secure user authentication, to protect sensitive user information and transactions.
Organization of Reports.
The
report
is
organized
into
four
chapters:
CHAPTER
1:
INTRODUCTION.
This chapter introduces the online auction system, providing background information, objectives,
the purpose and scope of the project, key achievements, and an overview of the report's
structure. It sets the stage for understanding the need for a robust auction platform.
CHAPTER
2:
SURVEY
OF
TECHNOLOGIES.
This chapter surveys the technologies relevant to the development of the online auction system. It
covers:
- **Programming Languages**: Discusses languages used for front-end and back-end
- **Development Tools**: Explores tools that enhance productivity and collaboration, including
- **Frameworks and Libraries**: Reviews frameworks and libraries like Django and React that
facilitate e
"
cient development.
CHAPTER
3:
REQUIREMENTS
AND
ANALYSIS.
This chapter details the requirements for the online auction system:
- **Problem De
nition**: Identi
Þ
- **Requirements Speci
system implementation.
- **Preliminary Product Description**: Describes the initial version of the product and its core
functionalities.
- **Conceptual Models**: Presents models that illustrate the systemÕs architecture and data
ow.
CHAPTER
4:
SYSTEM
DESIGN.
- Data Design: Discusses the database schema, data integrity, and constraints.
- Procedural Design: Includes logic diagrams, data structures, and algorithms used in the system.
- User Interface Design: Provides insights into the design of the user interface, ensuring it is
- Security Issues: Addresses security considerations essential for protecting user data and
transactions.
- Test Cases Design: Outlines the test cases that will be used to validate the system's functionality
and performance.
This organisation of the report ensures a comprehensive understanding of the online auction
system, from initial concepts through technological considerations and into detailed design
aspects.
CHAPTER
Introduction :
Introduction
to
the
Survey
of
Technology
in
Online
Auction
Systems
:
dynamic online auction systems. This survey explores the various technologies that underpin
The primary aim of this survey is to analyze the technologies employed in online auction systems,
"
The
choice
of
programming
languages
is
crucial
for
the
development
of
the
online
auction
system.
Commonly
used
languages
include:
- JavaScript: Essential for front-end development, enabling dynamic content and user
interactions.
- Python: Widely used for back-end development due to its readability and robust frameworks like
Django.
- HTML/CSS: Fundamental for structuring and styling the web interface, ensuring responsive
Development
Tools
in
Online
Auction
System
Technologies
The development of online auction systems requires a diverse set of tools and technologies to
ensure functionality, security, and user experience. HereÕs a breakdown of the key development
- HTML/CSS/JavaScript: The foundational languages for creating the structure, styling, and
- React: A JavaScript library for building user interfaces, allowing for the creation of dynamic and
responsive components.
- Angular: A framework for building single-page applications (SPAs), facilitating a robust clientside
experience.
exibility.
- Programming Languages:
guration,
speeding up development.
- Python (Django/Flask): Frameworks for developing web applications quickly with clear syntax
- Web Servers:
- Nginx: A high-performance web server and reverse proxy server known for its speed and
scalability.
- Relational Databases:
7. Development Environments
Frameworks
and
libraries
streamline
development
by
providing
pre-built
components
and
functionalities:
VUE.JS
Vue.js provides a
BRAINTREE:
DJANGO:
A high-level Python web framework that promotes rapid development and clean
REACT:
$
A JavaScript library for building user interfaces, facilitating the creation of dynamic
BOOTSTRAP:
2.5 Conclusion.
The selection of appropriate technologies is critical for the successful implementation of the
online auction system. By leveraging moder n programming languages, development tools, and
frameworks, the system can achieve its objectives of functionality, security, and user satisfaction.
This survey of technologies lays the groundwork for the subsequent sections detailing the
CHAPTER
3.1 Problem De
nition
Problem
De
nitions
in
Online
Auction
Systems
Online auction systems face a variety of challenges that can impact user experience, security, and
operational e
"
ective
system performance:
1.
SECURITY
RISKS:
Data Breaches : Sensitive user information, such as personal details and payment information,
- Fraudulent Activities: Users may engage in fraudulent bidding practices, such as shill bidding,
2.
USER
EXPERIENCE
ISSUES:
nd it di
"
- Lack of Real-Time Updates: Delays in bid updates can result in user dissatisfaction, especially in
3.
PAYMENT
PROCESSING
CHALLENGES:
- Transaction Failures: Issues with payment gateways can lead to failed transactions, causing
- Chargebacks and Refunds: Handling disputes related to chargebacks or refund requests can
4.
SCALABILITY
CONCERNS:
- Performance Under Load : As user numbers increase, the system may struggle to handle high
tra
"
- Database Management: E
"
DISPUTE
RESOLUTION:
- Handling Con
icts: Disputes may arise between buyers and sellers over items not meeting
descriptions or delivery issues. A clear resolution process is necessary to maintain user trust.
6.
MARKET
DYNAMICS:
- Price Manipulation: Users may attempt to manipulate auction prices through collusion or
- Market Saturation: A high volume of similar items can lead to increased competition among
#
ecting pro
tability.
7.
INTEGRATION
AND
COMPATIBILITY:
- Third-Party Services: Integrating payment processors, shipping services, and other third-party
- Cross-Platform Accessibility: Ensuring that the auction platform works seamlessly across
di
CONCLUSION:
online auction systems. By identifying and tackling these challenges, developers can create a
more secure, e
"
cient, and user-friendly auction platform that meets the needs of buyers and
sellers alike.
Traditional auctions can be opaque and inconvenient. This system aims to address these issues
cations.
Requirements
Speci
cation
for
Online
Auction
System
Requirements speci
1.
FUNCTIONAL
REQUIREMENTS:
- The system should allow sellers to set starting bids, reserve prices, and auction durations.
2.
NON-FUNCTIONAL
REQUIREMENTS:
2.1 Performance
- The system should support at least 1,000 concurrent users without performance degradation.
- Page load times must not exceed 3 seconds under normal load conditions.
2.2 Security
2.3 Usability
- The user interface should be intuitive and accessible, adhering to best practices in user
Planning
and
Scheduling
in
Online
Auction
System
ective planning and scheduling are crucial for the successful development and deployment of
an online auction system. This section outlines the key components involved in the planning and
scheduling process.
1.
PROJECT
PLANNING
1.1 De
ne Project Scope
- Clearly outline the objectives, features, and functionalities of the online auction system.
cation
- Identify key stakeholders, including project managers, developers, designers, testers, and
endusers.
- Determine the necessary resources, including team members, technologies, and tools.
2.
TIMELINE
DEVELOPMENT
ne requirements (1-2
weeks).
- Design Phase: Create wireframes and prototypes of the user interface (2-3 weeks).
- Development Phase: Implement frontend and backend features, including database setup (8-12
weeks).
- Testing Phase: Conduct unit testing, integration testing, and user acceptance testing (3-4
weeks).
- Deployment Phase: Launch the platform and monitor initial performance (1-2 weeks).
- Establish key milestones for each phase, such as completion of requirements gathering, design
- Set deadlines for each milestone to ensure the project stays on track.
3.
TASK
SCHEDULING
- Utilize Agile practices, such as Scrum or Kanban, to manage tasks and iterations.
- Break down development into sprints, typically lasting 2-4 weeks, with de
sprint.
- Use project management tools like Jira, Trello, or Asana to track progress and assign tasks.
4.
RISK
MANAGEMENT
- Regularly review and adjust the project plan based on new information or changing
circumstances.
5.
MONITORING
AND
EVALUATION
- Conduct regular check-ins and stand-up meetings to discuss progress and address obstacles.
"
- Implement user testing sessions and gather feedback throughout the development process.
- Adjust project timelines and features based on user insights and testing outcomes.
CONCLUSION
ective planning and scheduling are vital to the successful development of an online auction
system. By de
methodologies, teams can ensure timely delivery and a high-quality product that meets user
needs. Regular monitoring and feedback loops further enhance the project's adaptability and
success.
A detailed project timeline is established, outlining phases for design, development, testing, and
deployment.
Software
and
Hardware
Requirements
for
Online
Auction
Systems
To ensure optimal performance, security, and user experience, an online auction system requires
speci
requirements.
1.
SOFTWARE
REQUIREMENTS
- Server-Side: Linux (Ubuntu, CentOS) or Windows Server for hosting the application.
- Client-Side: Compatible with all major operating systems (Windows, macOS, Linux) for web
access.
- Nginx: Known for high performance and low resource consumption, suitable for handling
concurrent connections.
Relational Databases: MySQL or PostgreSQL for structured data storage and management.
listings.
- Frontend:
- Payment Gateways: Integration with services like Stripe, PayPal, or Braintree for secure
transactions.
- SSL/TLS Certi
- Web Application Firewalls (WAF): To protect against common threats like SQL injection and
- Testing Frameworks: Jest, Mocha, or Cypress for unit and end-to-end testing.
- Project Management Tools: Jira, Trello, or Asana for tracking tasks and progress.
2.
HARDWARE
REQUIREMENTS
cations
- Web Server:
- CPU: Multi-core processor (e.g., Intel Xeon or AMD Ryzen) to handle multiple requests
simultaneously.
tra
"
c.
- Storage : SSD (Solid State Drive) for faster read/write speeds, with at least 100 GB of space for
les.
"
scalability.
- Backup Servers: Additional servers for data redundancy and disaster recovery.
Storage Solutions: Network Attached Storage (NAS) or cloud-based storage for secure data
backups.
- Mobile Devices: Smartphones and tablets compatible with the web application, ideally with a
responsive design.
CONCLUSION
The software and hardware requirements for an online auction system are critical to ensuring
smooth operation, security, and a positive user experience. By selecting the right technologies
and maintaining adequate server capabilities, developers can create a robust platform capable of
Preliminary
Product
Description
for
Online
Auction
System
OVERVIEW:
BidMaster is a comprehensive online auction system designed to facilitate seamless transactions
between buyers and sellers in a secure and user-friendly environment. It leverages moder n
technology to provide a dynamic platform for various auction types, including traditional auctions,
KEY
FEATURES
les:
- User pro
4. Payment Processing:
- Integration with secure payment gateways (e.g., Stripe, PayPal) for safe transactions.
- Support for multiple payment methods, including credit/debit cards and digital wallets.
ranges.
7. Security Measures:
8. Responsive Design:
9. Customer Support:
Target Audience
-Sellers: Individuals or businesses looking to auction products, collectibles, or services.
c category.
COMPETITIVE
ADVANTAGE
BidMaster distinguishes itself through its user-centric design, robust security measures, and
exible auction formats. By combining real-time bidding capabilities with a strong community
feedback system, it fosters trust and engagement among users, ensuring a vibrant marketplace.
CONCLUSION
The BidMaster Online Auction Platform is poised to become a leading solution in the online
auction space, o
ering a rich feature set and an engaging user experience. Its focus on security,
usability, and community engagement positions it as a valuable tool for buyers and sellers alike in
The system will provide a web interface for users to register, list items for auction, place bids, and
process payments.
3.6 Conceptual Models
Conceptual
Models
in
Online
Auction
Systems
Conceptual models provide a high-level representation of the key components and interactions
within an online auction system. They help in understanding the system's architecture, work
ows,
and user interactions. Below are several key conceptual models that can be utilized in the design
1.
USE
CASE
DIAGRAM
Description: A use case diagram visually represents the interactions between users (actors) and
Actors:
- Administrator: Manages the platform, handles disputes, and oversees user accounts.
Use Cases:
- Register/Login
- Place Bid
- Make Payment
- Provide Feedback
2.
CLASS
DIAGRAM
erent classes
Key Classes:
- User: Attributes include userID, user name, password, email, role (buyer/seller).
sellerID.
3. Sequence Diagram
Description: A sequence diagram illustrates how objects interact in a particular scenario of the
- System veri
es bid amount.
- System noti
4.
ACTIVITY
DIAGRAM
5.
ENTITY-RELATIONSHIP
DIAGRAM
(ERD)
Description: An ERD models the database structure, showing entities, attributes, and
relationships.
Key Entities:
Relationships:
erent ÒAuctionsÓ.
CONCLUSION:
These conceptual models provide a comprehensive understanding of the online auction system's
structure and behavior. They facilitate communication among stakeholders, guide system design,
and help in identifying requirements and functionalities, ultimately leading to a more organized
and e
"
CHAPTER
Basic
Modules
in
Online
Auction
Systems
An online auction system typically consists of several key modules, each responsible for speci
Þ
c
functionalities. HereÕs an overview of the basic modules essential for a comprehensive auction
platform:
1.
USER
MANAGEMENT
MODULE
- Registration and Authentication: Allows users to create accounts, log in, and manage their
pro
les.
- Role Management: Di
- Account Security: Implements features like password recovery and multi-factor authentication.
2.
AUCTION
MANAGEMENT
MODULES
Auction Creation: Enables sellers to list new auctions, including details like title, description,
- Auction Status Tracking: Monitors the current status of each auction (active, ended, canceled).
3.
BIDDING
MODULE
- Real-Time Bidding: Facilitates live bidding, allowing users to place bids instantly.
- Automatic Bidding: Supports users setting maximum bid limits for automated bidding.
- Bid History: Tracks and displays bidding history for each auction.
4.
PAYMENT
PROCESSING
MODULE
- Payment Gateway Integration: Connects with services like Stripe or PayPal to handle
transactions securely.
generates receipts.
- Refund and Chargeback Handling: Processes refunds and manages chargeback disputes.
5.
NOTIFICATION
MODULE
- Customizable Preferences: Allows users to set preferences for the types of noti
cations they
wish to receive.
6.
FEEDBACK
AND
RATING
MODULE
- Feedback Submission: Enables users to leave ratings and comments for sellers posttransaction.
7.SEARCH
AND
FILTERING
MODULE
- Search Functionality: Allows users to search for auctions by keywords or item categories.
- Advanced Filtering: Provides options to
criteria.
Data
Design
in
Online
Auction
Systems
"
ciency, scalability,
and integrity of the auction platform. Below are the key components of data design for such a
system.
1.
ENTITY-RELATIONSHIP
DIAGRAM
(ERD)
An ERD provides a visual representation of the system's data entities, their attributes, and the
relationships between them. HereÕs an overview of the main entities in an online auction system:
Key Entities:
- User
`updated_at`
- Auction
- Bid
- Payment
 - Attributes: `paymentID`, `auctionID`, `userID`, `paymentAmount`, `paymentStatus`,
`transactionID`, `created_at`
- Feedback
Relationships:
- A User can leave multiple Feedback entries for various Auctions (one-to-many).
2.
DATABASE
SCHEMA
DESIGN
USERS
TABLE
SQL:
CURRENT_TIMESTAMP
);
2.
AUCTIONS
TABLE
SQL
description TEXT,
sellerID INT,
CURRENT_TIMESTAMP,
);
3.
BIDS
TABLE
SQL
auctionID INT,
userID INT,
);
4.
PAYMENTS
TABLE
SQL
auctionID INT,
userID INT,
);
5.
FEEDBACK
TABLE
SQL
userID INT,
auctionID INT,
     comments TEXT,
     created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
);
3.
DATA
ACCESS
LAYER
(DAL)
The Data Access Layer is responsible for managing the interactions between the application and
CRUD Operations: Functions for Create, Read, Update, and Delete operations for each entity.
- Transaction Management: Ensuring that operations like payments and bid placements are
4.
DATA
INTEGRITY
AND
CONSTRAINTS
- Unique Constraints: Ensure unique user names and emails in the Users table.
- Foreign Key Constraints: Maintain referential integrity between related tables (e.g., bids linked to
auctions).
Design
for
Online
Auction
System
Schema design is a critical aspect of the database architecture for an online auction system. It
de
established. Below is a comprehensive schema design that outlines the key tables and their
1.
OVERVIEW
OF
KEY
ENTITIES
2.
DATABASE
SCHEMA
DIAGRAM
HereÕs a textual representation of the schema relationships. In practice, this would typically be
visualized in an ER diagram.
```
Users (userID) 1-----* Auctions (auctionID)
3.
TABLE
DEFINITIONS
1. Users Table
SQL
CURRENT_TIMESTAMP
);
2. Auctions Table
SQL
description TEXT,
sellerID INT,
CURRENT_TIMESTAMP,
);
3. Bids Table
SQL
auctionID INT,
     userID INT,
     bidAmount DECIMAL(10, 2) NOT NULL,
);
4. Payments Table
SQL
auctionID INT,
userID INT,
);
5. Feedback Table
SQL
userID INT,
auctionID INT,
comments TEXT,
);
4.
INDEXES
AND
OPTIMIZATION
- Indexes: Create indexes on frequently queried columns such as `user name`, `email`, `auctionID`,
- Composite Indexes: Consider creating composite indexes for columns that are often queried
5.
DATA
INTEGRITY
CONSTRAINTS
Þ
elds in the Users table.
- Foreign Key Constraints: Ensured through relationships between tables to maintain referential
integrity.
- Check Constraints: Used in the Feedback table to ensure that ratings are between 1 and 5.
4.3
Data
Integrity
And
Constraints
:Online
Auction
System
Data
Integrity
and
Constraints
in
Online
Auction
Systems
Data integrity ensures that the data within an online auction system is accurate, consistent, and
reliable throughout its lifecycle. Implementing various constraints is essential to maintaining data
integrity. Below are key aspects related to data integrity and the types of constraints that can be
1.
TYPES
OF
DATA
INTEGRITY
- Entity Integrity: Ensures that each table has a unique primary key that uniquely identi
Þ
es each
record.
- Referential Integrity: Maintains the relationships between tables, ensuring that foreign keys
- User-De
interactions.
2.
KEY
CONSTRAINTS
es each record.
- Example:
- Establishes a relationship between two tables, ensuring that the foreign key in one table must
- Example:
3. Unique Constraint
- Ensures that all values in a column (or a combination of columns) are unique across the table.
- Example:
 - The `user name` and `email` columns in the `Users` table must be unique.
4. Check Constraint
- Enforces a condition on the values in a column, ensuring that only valid data can be entered.
- Example:
- In the `Feedback` table, the `rating` column can only contain values between 1 and 5.
- In the `Payments` table, `paymentStatus` can only take values from a prede
- Ensures that a column cannot have a NULL value, thus enforcing the presence of data.
- Example:
lled.
3.
EXAMPLE
SQL
CONSTRAINTS.
auction system:
SQL
CURRENT_TIMESTAMP
);
description TEXT,
sellerID INT,
CURRENT_TIMESTAMP,
     FOREIGN KEY (sellerID) REFERENCES Users(userID) ON DELETE CASCADE
);
auctionID INT,
userID INT,
);
userID INT,
);
userID INT,
auctionID INT,
);
4.
BEST
PRACTICES
FOR
DATA
INTEGRITY
- Consistent Data Entry: Use form validations and input checks to ensure data quality at the point
of entry.
- Regular Audits: Perform periodic audits of the database to check for data anomalies or integrity
violations.
- Backup and Recovery: Implement robust backup strategies to protect against data loss and
- Use Transactions: For operations that involve multiple changes (like placing a bid and updating
4.3.1
LOGIC
DIAGRAMS
4.3.2
DATA
STRUCTURES
ectively.
4.3.3
ALGORITHMS
DESIGN
that will gover n key functionalities such as user registration, auction creation, bidding, payment
processing, and feedback handling. Below are key algorithms for various aspects of the system.
1.
USER
REGISTRATION
ALGORITHMS
`plaintext
1. Start
7. Send con
9. End
2.
AUCTION
CREATION
ALGORITHM
plaintext
1. Start
2. Input auction details (title, description, starting bid, reserve price, end time)
3. Validate input:
3.
BIDDING
ALGORITHM
plaintext
1. Start
b. Check if bid amount is higher than current highest bid (if any)
9. End
4.
PAYMENT
PROCESSING
ALGORITHM
plaintext
1. Start
6. End
5.
FEEDBACK
SUBMISSION
ALGORITHM
plaintext
1. Start
8. End
6.
AUCTION
ENDING
ALGORITHM
1. Start
4. End
Security
Issues
in
Online
Auction
Systems
Online auction systems face various security challenges that can compromise user data,
nancial
transactions, and the integrity of the auction process. Addressing these issues is critical to
maintaining user trust and system reliability. Below are some of the primary security concer ns:
1.
USER
AUTHENTICATION
AND
AUTHORIZATION
- Weak Passwords: Users may choose easily guessable passwords, making accounts vulnerable
to unauthorised access.
- Insu
"
erent user
2.
DATA
PROTECTION
AND
PRIVACY
- Data Breaches: Sensitive user information (e.g., personal details, payment information) can be
- Insecure Data Storage: Storing passwords in plaintext or using weak encryption methods can
- User Privacy: Failure to comply with data protection regulations (like GDPR) can lead to legal
3.
TRANSACTION
SECURITY
- Insecure Payment Gateways: Using untrusted or poorly secured payment gateways can lead to
4.
AUCTION
MANIPULATION
- Shill Bidding: Sellers may create fake accounts to bid on their own auctions, arti
cially in
ating
prices.
- Bid Sniping: Automated tools can place last-minute bids, preventing other users from
- XSS Attacks: Malicious scripts can be injected into auction listings, compromising user sessions
or stealing data.
- CSRF Attacks: Attackers can trick users into making unwanted actions on the platform without
their consent.
Test
Case
Design
for
an
Online
Auction
System
Test case design is crucial to ensure that the online auction system functions correctly, meets
requirements, and provides a good user experience. Below are various test cases categorized by
functionality.
1.
USER
REGISTRATION
TEST
CASES
2.
USER
LOGIN
TEST
CASES
3.
AUCTION
CREATION
TEST
CASES
Test Case ID
Description
Input
| Expected Result
TC-UR-01
Valid
User is registered
successfully
TC-UR-02
registration
Error message
exists
TC-UR-03
Duplicate email
registration
Existing email
already exists Ò
TC-UR-04
Weak password
12345Õ
Error message
ÒPassword is too weak
Test Case ID
Description
Input
Expected Result
TC-UR-01
Valid Login
Password
ÒUser is logged in
successfully
TC-UL-02
Invalid Password
password
TC-UR-03
TC-UR-04
N/A
successfully
4.
BIDDING
TEST
CASES
Waterfall
Model
Diagram
for
an
Online
Auction
System
3. Implementation (Coding): Develop the actual software, including backend and frontend.
4. Testing: Verify that the system meets requirements through various testing methods.
Test Case ID
Description
Input
Expected Result
TC-AC-01
Valid details
Auction created
TC-AC-02
Error message
TC-AC-03
zeroÓ
TC-AC-04
time
Test Case ID
Description
Input
Expected Result
TC-BD-01
auction
bid amount
TC-BD-02
highest bid
Valid auction ID, lower
bid
current bidÓ
TC-BD-03
is not active Ò
TC-BD-04
"
cient
funds
amount
Error message
ÒInsu
"
cient fundsÓ
4.5.2 ER diagram
ER
Diagram
for
an
Online
Auction
System
Caption
Caption
Class
Diagram
For
An
Online
Auction
System
%
Caption
Use
Case
diagram
for
Online
Auction
System
Caption
Caption
Caption
Caption
Caption
UI
Welcome
Page
Caption
4.6.2
UI-
Create
Account
Source
Code
1.
:
Open Visual Studio and create a new
ASP.
"
ET Core
Web Application
Choose
Select
"
ET Core
2.
Open the
"
and
install:
bash
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Install-Package
Microsoft.EntityFrameworkCore.
SqlServer
Install-Package
Microsoft.EntityFrameworkCore.
Tools
3.
AuctionItem.cs
User.cs
4.
csharp
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// AuctionItem.cs
5.
public
class
AuctionItem
6.
7.
     public
8.
public
set; }
9.
public
string Description
{ get; set; }
10.
public
decimal StartingPrice
{ get; set; }
11.
{ get; set; }
12.
{ get; set; }
13.
14.
15.
// Bid.cs
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public
class
Bid
17.
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public
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public
int AuctionItemId
{ get; set; }
20.
public
set; }
21.
{ get; set; }
22.
public
set; }
23.
public AuctionItem
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public
class
User
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public
string Id { get;
set; }
30.
public
set; }
31.
32.
33.
Create a
AuctionDbContext
csharp
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public
class
AuctionDbContext :
DbContext
34.
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public
AuctionDbContext(DbContextOptions
<AuctionDbContext> options)
36.
: base(options) { }
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public DbSet<AuctionItem>
39.
set; }
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41.
42.
Create Controllers
csharp
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public
class
AuctionController : Controller
private
readonly
AuctionDbContext _context;
public
AuctionController(AuctionDbCon
text context)
_context = context;
public IActionResult
Index()
var auctionItems =
_context.AuctionItems
.Where(item =>
.ToList();
return
View(auctionItems);
  }
  public IActionResult
Detail(int id)
var auctionItem =
_context.AuctionItems
.Include(item =>
item.Bids)
.FirstOrDefault(it
if (auctionItem ==
null)
return NotFound();
return
View(auctionItem);
  }
  [HttpPost]
public IActionResult
PlaceBid(int auctionItemId,
decimal bidAmount)
var auctionItem =
_context.AuctionItems.Find(auc
tionItemId);
if (auctionItem ==
auctionItem.StartingPrice)
ModelState.AddModelError("",
return
View("Detail", auctionItem);
     }
AuctionItemId =
auctionItemId,
Amount =
bidAmount,
BidTime =
DateTime.Now,
UserId =
"SomeUserId"
session or identity
     };
_context.Bids.Add(bid);
_context.SaveChanges();
return
RedirectToAction(nameof(Detail
), new { id =
auctionItemId });
43.
Create Views
Index.cshtml
html
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@model
IEnumerable<AuctionItem>
<h1>Auction Items</h1>
<table>
<tr>
<th>Name</th>
<th>Description</th>
<th>Starting Price</
th>
<th>End Date</th>
<th>Action</th>
</tr>
<tr>
<td>@item.Name</
td>
<td>@item.Description</td>
<td>@item.StartingPrice</td>
<td>@item.EndDate.ToString("f"
)</td>
<td><a
href="@Url.Action("Detail",
"Auction", new { id =
item.Id })">Bid</a></td>
      </tr>
  }
</table>
Detail.cshtml
html
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@model AuctionItem
<h1>@Model.Name</h1>
<p>@Model.Description</p>
<p>Starting Price:
@Model.StartingPrice</p>
p>
<h3>Bids:</h3>
<table>
<tr>
<th>Amount</th>
<th>Time</th>
</tr>
Model.Bids.OrderByDescending(b
=> b.BidTime))
<tr>
<td>@bid.Amount</
td>
<td>@bid.BidTime</
td>
      </tr>
</table>
<h3>Place a Bid</h3>
<form
method="post"
action="@Url.Action("PlaceBid"
, "Auction")">
<input
type="hidden"
name="auctionItemId"
value="@Model.Id" />
  <input
type="number"
name="bidAmount"
step="0.01"
required />
<button
type="submit">Place
Bid</button>
</form>
44.
necessary tables.
bash
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dotnet ef migrations add
InitialCreate
45.
46.
47.
dotnet run
or using
Visual Studio.
User Authentication
Real-time Updates
Bid
"
otifications
Admin Panel