AI 应用测试策略:AI 生成代码怎么写测试
目录
AI 代码测试的特殊性
AI 代码的问题:
- 边界条件容易出错
- 可能有隐藏的业务逻辑错误
- 测试覆盖要更全测试策略
# 1. 边界条件优先
def test_calculate_discount_edge_cases():
assert calculate_discount(0, 10) == 0 # 金额为0
assert calculate_discount(100, 0) == 100 # 折扣为0
assert calculate_discount(100, 150) == 0 # 折扣超过100%
assert calculate_discount(-10, 10) == 0 # 金额为负
# 2. Property-based testing
from hypothesis import given, strategies as st
@given(st.lists(st.floats(min_value=0, max_value=1000)))
def test_discount_properties(amounts):
for amount in amounts:
result = calculate_discount(amount, 10)
assert 0 <= result <= amount结论
AI 代码测试:边界优先 + 属性测试 + 人工 review 三合一。