Abstract
In recent years, search-based software testing (SBST) is the active research topic in software testing. SBST is the process of generating test cases that use metaheuristics for optimization of a task in the framework of software testing to solve difficult NP-hard problems. The best fitness results must be found with the heuristic search among many possibilities for a more cost-effective testing process and automate the process of generating test cases. Although search-based test data generation is a field of interest, some challenges remain unknown. The main objective of this survey is to find the main topics and trends in this emerging field of search-based software testing by examining the methods and the literature of software testing. A review of earlier studies of search-based software testing from the year 1996 to 2016 is discussed with the application of metaheuristics for the optimization of software testing.
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