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01. SoapUI for Web Service Testing

Level: Intermediate

ℹ️ What You'll Learn
  • Install and configure SoapUI
  • Test SOAP web services
  • Test REST APIs comprehensively
  • Create automated test suites
  • Load testing for performance
  • Validate School Management System API

The Problem

Postman is great for manual testing. SoapUI is for automated, repeatable test suites. When your School Management System API has 20+ endpoints and you change something, you need tests that verify nothing broke. SoapUI automates this testing.

Install SoapUI

Download from: https://www.soapui.org/downloads/soapui/

Install and launch.

Create Project

File → New soapUI Project:

Name: SMS-API-Tests

Test REST API

  1. Projects → Right-click → New REST Service
  2. URL: http://localhost:5000/api/students/101
  3. Method: GET
  4. Click Send

Response appears in editor.

Test Requests

Get Student:

GET /api/students/101

Create Student:

POST /api/students
Content-Type: application/json

{
"name": "Priya Sharma",
"rollNumber": "SMS-2024-002",
"className": "10-B"
}

Assertions

Right-click response → Add Assertion:

- Status: 200 OK
- Response contains: "Ravi Kumar"
- JSON path: $.name

Green ✓ = pass, Red ✗ = fail.

Test Suites

Create test workflow:

  1. Get all students
  2. Get specific student
  3. Create student
  4. Update student
  5. Delete student

Run in sequence. Failure stops suite.

Load Testing

Tools → Load Testing:

  • 10 concurrent users
  • 100 requests per user
  • Measure response time
  • Identify bottlenecks

SMS API can handle production load?

Key Takeaways

  • SoapUI = API testing (REST + SOAP)
  • Requests + Assertions = tests
  • Test Suites = workflow automation
  • Load Testing = performance check
💡 SoapUI Tip

Export projects as XML. Share with QA team.

🤖Use AI to Learn Faster

Use ChatGPT, Claude, or Copilot to go deeper on SoapUI Testing. Try these prompts:

  • "How do I test a REST API?"
  • "How do I add assertions?"
  • "How do I run load tests?"
  • "Quiz me on SoapUI"

💡 Tip: After reading this article, paste your own code into AI and ask "What could go wrong here and why?" — fastest way to find edge cases and deepen understanding.

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