Data Generation Techniques for Automated Software Robustness T

Commercial software components are being used in an increasingly large number of critical applications. Hospitals, military organizations, banks, and others are relying on the robust behavior of software they did not write. Due to the high cost of manual software testing, automated software testing is a desirable, yet difficult goal. One of the difficulties of automated software testing is the generation of data used as input to the component under test. This paper explores two techniques of generating data that can be used for automated software robustness testing. The goal of this research is to analyze the effectiveness of these two techniques, and explore their usefulness in automated software robustness testing.