Data-driven testing (DDT) is a very important aspect of test automation. In short, the goal is to run a given test or set of tests multiple times with different sets of input data and expected results. The input sets typically contain values which correspond to boundary or partition values.

QF-Test has various means to store data or load external data for use in data-driven tests.

  • RESTful WebServices
  • Database
  • Excel
  • CSV
  • Property Files
  • Language Packs
  • Anything via JavaScript, Groovy or Jython

The big number of Test-Case iterations makes DDT cheap for automation with QF‑Test but expensive for manual testing, see test automation and ROI.

Performance for testers
Software testers
Security for developers
GUI developers
Advantages for deciders
Deciders