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Software testing relies on judgment, but structural coverage alone may miss faults. Supplementing structural coverage with input space coverage measures ensures thorough software assurance and verifies adequate input models.

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Area of Science:

  • Software Engineering
  • Computer Science
  • Quality Assurance

Background:

  • Software testing is crucial for assurance but often relies on subjective judgment.
  • Structural coverage criteria enhance test completeness but may not detect faults from rare inputs.
  • Existing test suites may lack comprehensive input diversity, leading to potential software vulnerabilities.

Purpose of the Study:

  • To propose supplementing structural coverage measures with input space coverage.
  • To highlight the importance of input space coverage for identifying software faults.
  • To demonstrate the relationship between structural and input space coverage for verifying input models.

Main Methods:

  • Reviewing existing structural coverage metrics in software testing.
  • Analyzing the limitations of structural coverage in detecting input-related faults.
  • Investigating the utility and application of input space coverage measures.
  • Examining the correlation between structural coverage and input space coverage.

Main Results:

  • Structural coverage, while valuable, is insufficient for complete software fault detection.
  • Input space coverage measures can identify faults missed by structural coverage alone.
  • A relationship exists between structural coverage and input space coverage metrics.
  • Input space coverage provides a method for validating the adequacy of input models.

Conclusions:

  • Structural coverage must be augmented with input space coverage for robust software assurance.
  • Effective input space coverage enhances the identification of rare input-triggered faults.
  • The integration of input space coverage validates the defined input model, improving overall software quality.