Software Requirements Specification (SRS) for HRA Calculator

Introduction

Purpose:

The purpose of this document is to outline the requirements for the development of an HRA (House Rent Allowance) Calculator application. This application helps individuals calculate their HRA exemption based on salary, rent paid, and the city of residence for income tax purposes.

Scope:

The HRA Calculator will provide users with a tool to determine the HRA exemption they can claim under the Income Tax Act. Users will input details such as their salary, rent paid, and the city of residence, and the system will calculate and display the eligible HRA exemption.

System Overview

System Description:

The HRA Calculator will be a web-based application accessible through a browser. It aims to assist users in optimizing their income tax calculations by providing accurate HRA exemption estimates.

System Architecture:

The application will follow a client-server architecture, with the client being the web browser and the server handling the HRA exemption calculation logic.

Functional Requirements

Use Cases:

Calculate HRA Exemption:

• Users can input details such as their salary, rent paid, and the city of residence.
• The system will calculate and display the eligible HRA exemption based on the provided input.

Functional Requirements:

Input:

The system shall accept the following input:

• Annual Salary (in INR)
• Rent Paid (in INR)
• City of Residence

Calculation:

• The system shall calculate the eligible HRA exemption based on the provided annual salary, rent paid, and city of residence.

Output:

• The system shall display the calculated HRA exemption amount to the user.

 Non-Functional Requirements:

• The system should provide a response time of under 3 seconds.
• The application should be accessible on common web browsers (Chrome, Firefox, Safari).

External Interface Requirements

User Interfaces:

• The user interface shall include input fields for annual salary, rent paid, and city of residence, along with a “Calculate” button.
• The calculated HRA exemption amount shall be displayed prominently.

 Hardware Interfaces:

• The system should be compatible with standard computing hardware.

Software Interfaces:

• The application shall be developed using HTML, CSS, and JavaScript.
• The server-side logic can be implemented using a backend framework (e.g., Node.js, Django).

Communication Interfaces:

• The application will communicate with the server for the HRA exemption calculation and display of results.

Performance Requirements

Response Time:

The system should respond within 3 seconds for a typical user input.

Throughput:

The application should handle at least 50 simultaneous users.

System Constraints

Regulatory Requirements:

The application should comply with relevant income tax regulations.

Hardware Limitations:

The system should be compatible with devices with standard web-browsing capabilities.

Security Requirements

 Authentication:

The application may or may not require user authentication, depending on whether users want to save their HRA exemption calculation data.

Data Protection:

If authentication is implemented, user data should be stored securely.

Quality Attributes

Reliability:

The application should produce accurate HRA exemption results based on the provided input.

Maintainability:

The code should be well-documented for ease of maintenance.

Usability:

The user interface should be intuitive, requiring minimal guidance.

Testing Requirements

Test Cases:

Test cases should cover various scenarios with different annual salaries, rent paid, and cities of residence to ensure accurate HRA exemption calculations.

Test Case 1:

• Inputs: Annual Salary = 6,00,000 INR, Rent Paid = 1,20,000 INR, City of Residence = Mumbai.
• Expected Output: HRA Exemption ≈ 72,000 INR

Test Case 2:

• Inputs: Annual Salary = 8,50,000 INR, Rent Paid = 2,00,000 INR, City of Residence = Delhi.
• Expected Output: HRA Exemption ≈ 1,36,000 INR

Test Case 3:

• Inputs: Annual Salary = 5,00,000 INR, Rent Paid = 80,000 INR, City of Residence = Bangalore.
• Expected Output: HRA Exemption ≈ 48,000 INR

Acceptance Criteria:

The application is considered successful if it produces correct HRA exemption amounts based on the provided input.

Project Timeline

Milestones:

Design, Development, Testing, Deployment.

Development Phases:

 Frontend development, Backend development, Testing, Deployment.

Glossary

None

Database Structure

Tables:

HRA_Calculator_Records:

• RecordID (Primary Key, Auto-increment)
• AnnualSalary (Decimal)
• RentPaid (Decimal)
• CityOfResidence (String)
• HRAExemption (Decimal)
• CalculationDate (DateTime)

Conclusion

This extended SRS document provides a more detailed overview of the HRA Calculator application, including the database structure and additional test cases. It should be reviewed and approved by relevant stakeholders before proceeding with the development phase.