Property-based testing is a testing methodology that focuses on verifying the properties and characteristics of a program instead of testing individual scenarios. This approach allows you to define general rules that the code should adhere to and then automatically generates a wide range of test cases to confirm these properties. In C++, you can utilize libraries like RapidCheck or Catch2 to implement property-based testing.
#include
#include
int add(int a, int b) {
return a + b;
}
TEST_CASE("Addition is commutative") {
rc::check("a + b = b + a", [](int a, int b) {
RC_ASSERT(add(a, b) == add(b, a));
});
}
TEST_CASE("Addition is associative") {
rc::check("a + (b + c) = (a + b) + c", [](int a, int b, int c) {
RC_ASSERT(add(a, add(b, c)) == add(add(a, b), c));
});
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?