Software Testing Principles Techniques And Tools M G Limaye Pdf Access

Mastering Software Quality: A Deep Dive into M.G. Limaye’s Software Testing

Software Testing Techniques

Common pitfalls and how to avoid them

  • Over-reliance on automation: Automated tests need maintenance and can provide false confidence.
  • Poor test data management: Use controlled, representative data (mocks, fixtures, synthetic anonymized data).
  • Ignoring flaky tests: Treat flakiness as high priority—flaky tests erode trust in test suites.
  • Lack of traceability: Keep tests mapped to requirements to ensure coverage and justify test scope.
  • White-box techniques

    White Box Testing (Structural)

    • Statement Coverage: Ensuring every line of code executes.
    • Branch Coverage: Testing every true/false outcome.
    • Path Coverage: Testing every independent path through the code.
    • Cyclomatic Complexity: Using graph theory (V(G) = E – N + 2) to calculate the number of independent paths.