Code integrity

Article summary

Code integrity is a metric which measures how reliable and well-tested computer code is before it advances along the software development process (development, test, production). It combines the use of quality checks (such as peer code reviews, automated testing, and more recently AI analysis) with measurements that monitor how thoroughly those checks were actually performed. While high code integrity is essential for catching bugs early, experts note that popular tracking metrics (like code coverage) do not always guarantee that the code is is a measurement used in the software delivery lifecycle. It measures how high the source code's quality is when it is passed on to QA, and is affected by how thoroughly the code was processed by correctness-checking processes (whether manual or automatic). Examples for such correctness-checking processes can be unit testing and integration testing, code review, test automation, AI-based code analysis etc. Code integrity is the combination of applying code correctness processes (software quality) along with metrics that measure the completeness of these correctness-checking processes, such as, for example, code coverage. While code integrity is usually achieved by unit testing the source code to reach high code coverage, it is definitely not the only way, or the best way, to achieve code integrity.…

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