Generating Test Cases by an Innovative Way
Shu Mei Zhao, Chun Feng Lv · Advanced materials research · 2012
Generate sufficient test cases is difficult and expensive, especially for testing software systems whose input is structurally complex. This paper proposes a new approach to generating a large number of test data from a few seed test cases, called data mutation. In the new approach, mutation operators transform the input data rather than the program under test or the specification of the software. It is not a test adequacy measurement. Instead, it generates test cases. The paper also reports a case study with the method on testing a modeling tool and illustrates the applicability of the proposed method. Experimental results validate the effectiveness of the method.