Software testing, specifically, test data generation is very labor-intensive and expensive. As a result, it accounts for a significant portion of software system development cost. In this paper we present a chaining approach for automated software test data generation. The chaining approach uses data dependence analysis to guide the test data generation process. The experiments have shown that the chaining approach may significantly improve the chances of finding test data as compared to the existing methods of automated test data generation.
['Roger Ferguson', 'Bogdan Korel']
Software test data generation using the chaining approach