🚀 Day 18 of My Data Analytics Journey !

Special Focus on Software Testing

Today was a special learning day because I stepped outside of pure Data Analytics and explored Software Testing. It gave me a clear idea of how software quality is ensured before reaching users. Here’s what I covered:

📌 Key Concepts I Learned

• What is Software Testing? – Process of verifying that software works as expected and is free of defects.
• What is Quality? – Meeting customer needs with reliability, efficiency, and performance.
• Types of Software – System software, application software, utility software, etc.

• Upgrades & Compatibility

  • Upgrade testing
  • Compatibility testing
  • Backward compatibility
  • Browser compatibility

🧪 Software Testing Types & Principles

• Black Box Testing – Focus on input/output without knowing internal code.
• White Box Testing – Tests internal structure and logic of code.
• Principles of Testing – Testing shows presence of defects, exhaustive testing is impossible, early testing saves cost, etc.

📑 Documentation & Requirements

• BRS (Business Requirement Specification)
• FRS (Functional Requirement Specification)
• SRS (Software Requirement Specification)
• Liberal BRS (more flexible requirement definition)
• RTM (Requirement Traceability Matrix) – Maps requirements to test cases.

🏗️ Software Development & Testing Life Cycles

• SDLC (Software Development Life Cycle)
• STLC (Software Testing Life Cycle)

🛠️ Tools Explored

• Bugzilla – Defect tracking tool.

📝 Test Case Writing

• Example:

  • Test Case ID: TC_001
  • Title: Login with valid credentials
  • Precondition: User must be registered
  • Steps: Enter username & password → Click login
  • Expected Result: User successfully logs in

🎤 Team Seminar

Our team also presented a seminar on Bug Life Cycle.
We explained it in 7 stages:

1. New
2. Assigned
3. Open
4. Fixed
5. Retested
6. Verified
7. Closed