When testing applications, documenting and interpreting test results can be a challenge. Data models enable us to collect and process test data more dynamically and uniformly. To design effective data models for self-documented tests, there are three important things to consider: what to document, collect, and report.

Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. Software architect and trainer Steve Smith, founder of Ardalis Services, hosted this Slack takeover and discussed producing testable code, writing maintainable tests, and boosting employability.

Some say test-driven development may work well initially, but as soon as we start to refactor our code, it breaks old tests and requires us to write new ones. This is not the fault of TDD; it’s the way we’re using it. TDD remains a valuable way to verify code as we write it, so we need to repair our test-driven damage.