How can data validation be achieved in OutSystems?

Data validation in OutSystems can be effectively achieved by utilizing validation rules and expressions on input fields. This approach allows developers to define specific criteria that input values must meet before being processed. For example, validation rules can include checks for required fields, format constraints (like email or phone number formats), and value ranges (such as ensuring a number falls within a certain limit). By setting these rules directly on the input fields, developers ensure that only valid data can be submitted, thus enhancing the robustness and reliability of the application.

Utilizing expressions also enables developers to implement complex validation logic, providing more control over how data is validated. When the user attempts to submit data that doesn't meet the defined criteria, the application can provide immediate feedback, guiding users to correct their inputs before submission.

While debugging tools and conditional statements can play a role in overall application logic and error handling, they are not primarily designed to enforce data validation at the input stage like validation rules and expressions are. Manual code checking is a more labor-intensive process and lacks the automation and efficiency provided by using built-in validation features. Thus, the structured approach of validation rules and expressions is the most effective method for ensuring accurate data entry in OutSystems.