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.

Robotic process automation (RPA) automates sequences of tasks in production environments to execute a clearly defined path through a process, so you can complete work faster. As more enterprises adopt RPA, success and scalability will require the construction of sustainable automation—a skill many testers already have.