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The paper presents data on the influence of test parameters like average execution time, number of runs, test’s severity and complexity, number of related bugs on test’s optimality to include a test set for regression testing of information system software components. The paper includes research using such methods as analysis of variance, correlation and regression analysis of test parameters. The studies have shown a degree of the influence of test’s parameters to test suite efficiency and optimality in order to perform regression testing. Solving the problem of creation of optimal test suites aimed at regression testing gives a chance to automate the information systems design process.

Study of influence of test case parameters on test suite optimality in order to automate the information systems design process