Table of Contents

Source: Software Testing course at ITMO university by Kochubeev Nikolay Sergeevich

Data-driven testing

DDT is an approach to testing in which one test function is executed multiple times with different sets of input data. This makes it easy to cover more cases and reduce code duplication.cases.

Strengths of DDT

  1. They eliminate duplication of tests with different input data.
  2. They simplify the coverage expansion: you add a row of data, and you have a new test.
  3. They increase the readability and maintainability of tests.

Best practices

  1. Try to keep the data next to the tests (CsvSource, InlineData) for simple cases.
  2. For large sets, use separate CSV/JSON files.
  3. Do not overload the test with unnecessary cases — it is better to divide it into logical groups.
  4. In Go, use table-driven tests as a standard — it's readable and familiar.