Test-Driven Development (TDD) and Behavior-Driven Development (BDD)

In this section

• Module-1
  Discover the fundamentals of automated testing and understand its importance in creating reliable, failure-resistant applications. This module covers the essentials of testing, such as test cases, various testing levels, and the conventional software release cycle.
  • Introduction to Test-Driven and Behavior-Driven Development
    This document explores the principles and workflows of Test-Driven Development (TDD) and Behavior-Driven Development (BDD), highlighting their benefits techniques, and practical applications in software engineering.
  • Testing Importance
    This document explores why testing is essential in software engineering drawing lessons from the Apollo program and connecting them to modern DevOps and automation practices.
  • Why don't Developers want to test?
    This document explores common reasons developers avoid testing, the risks of skipping tests, and the long-term benefits of maintaining a robust test suite for code reliability and collaboration.
  • Testing Levels
    This document explains the four main levels of software testing—unit integration, system, and acceptance—and describes how each fits into the traditional release cycle and environments.
  • TDD and BDD
    This document compares test-driven development (TDD) and behavior-driven development (BDD), explaining their differences, complementary roles, and how they support robust software design and testing.
  • Case Study
    This document presents a case study on the practical application of TDD and BDD in a real-world software project, highlighting challenges, solutions, and lessons learned for effective testing and delivery.
• Module-2
  • Test Driven Development Benefits
    This document explains the Red/Green/Refactor workflow in TDD, its steps, and how TDD saves time and improves code reliability.
  • Test With Nose and Pytest
    This document compares Python's unittest and Nose test runners, showing how to run tests, interpret reports, and use coverage tools for better code quality.
  • Test Case Anatomy
    This document explains the structure of a test case, the role of test fixtures, and how frameworks help developers build assertions for reliable testing.
  • Test Assertion
    This document explains the purpose of assertions in testing, describes common PyUnit assertions, and discusses the role of happy and sad paths in test case design.
  • Writing Assertion
    This document demonstrates the workflow for writing test assertions, debugging failing tests, and building robust test cases for stack operations in Python.
  • Test Fixture
    This document explains the purpose and use of test fixtures in software testing, covering their role in establishing known states, ensuring test isolation, and the different fixture types available in PyUnit.
• Module-3
• Module- 4