Understanding Regression Testing
📖 Scenario: You are a QA engineer managing a regression test suite for a web application. After a code change, you need to identify affected modules, select the right tests, run them, and analyze the results to decide if the code is safe to deploy.
🎯 Goal: Build a Python model that simulates regression testing: define modules and their tests, identify affected modules from a code change, run the selected tests, and determine deployment readiness.
📋 What You'll Learn
Create a dictionary mapping modules to their test cases
Identify affected modules based on a code change
Select and run regression tests for affected modules
Determine deployment readiness based on test results
💡 Why This Matters
🌍 Real World
Regression testing is fundamental to CI/CD pipelines. Every major software company runs regression suites automatically on every commit to catch regressions before they reach production.
💼 Career
QA engineers, SDETs, and developers are expected to understand regression testing strategies, test selection, and how to analyze failures in technical interviews.
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