Process / pipelineTest measurement

Code Coverage Analysis

Code coverage analysis measures the extent to which source code is executed by a test suite, quantifying which lines, branches, or paths are exercised. Tools instrument code to track execution, reporting coverage percentages and identifying untested regions. Coverage analysis guides test creation, detects dead code, and validates test adequacy in quality assurance processes.

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Sources

  1. Zhu, H., Hall, P. A. V., & May, J. H. R. (1997). Software unit test coverage and adequacy. ACM Computing Surveys, 29(4), 366–427. DOI: 10.1145/267580.267590
  2. Frankl, P. G., & Weiss, S. N. (1988). An experimental comparison of the effectiveness of branch testing and data flow testing. IEEE Transactions on Software Engineering, 14(12), 1763–1773. DOI: 10.1109/32.9163
  3. Corbet, J. (2008). Code coverage for the Linux kernel. Linux Weekly News article. link

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Referenced by

ScholarGateCode Coverage Analysis (Code Coverage Measurement and Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/software-engineering/code-coverage-analysis