As the world’s most popular embedded database, SQLite’s exceptional reliability stems from an extremely rigorous testing system. This article reveals SQLite’s testing architecture in detail, including four independent testing frameworks (TCL Tests, TH3, SLT, dbsqlfuzz) that achieve 100% branch test coverage and MC/DC coverage. Through fuzz testing (like AFL, OSS Fuzz, dbsqlfuzz) to discover potential vulnerabilities, and anomaly testing (memory overflow, I/O errors, crash testing) to ensure system stability. The testing code amounts to 590 times the core code, with dynamic analysis tools (Valgrind, Memsys2) and static analysis further ensuring code quality. These testing strategies are not only applicable to database development but also provide valuable references for high-reliability systems such as AI, chips, and autonomous driving.
The Ultimate Guide to SQLite Testing: From Fuzzing to 100% Coverage
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