Footprints of fitness functions in search-based software testing
Carlos Oliveira, Aldeida Aleti, Yuan-Fang Li, Mohamed A. Abdelrazek · Proceedings of the Genetic and Evolutionary Computation Conference · 2019
Testing is technically and economically crucial for ensuring software quality. One of the most challenging testing tasks is to create test suites that will reveal potential defects in software. However, as the size and complexity of software systems increase, the task becomes more labour-intensive and manual test data generation becomes infeasible. To address this issue, researchers have proposed different approaches to automate the process of generating test data using search techniques; an area that is known as Search-Based Software Testing (SBST).