SBST challenges from the perspective of the test techniques

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Abstract
Despite several decades of working on software quality assurance methods, they still require further investigations. In this regard, it is of paramount importance to detect a process detecting possible software errors with minimum budget and efforts. Search-based software testing(SBST) is an approach to automated software testing and aims to find a suitable alternative to manual testing. SBST is to transform the test problem into an optimization problem and obtain better solutions by searching the problem space. Search-based testing has some disadvantages and advantages. In this paper, considering the significance of SBST in testing, the search-based test challenges were detected from the perspective of the test techniques. This study also suggests different research subjects and provides a guideline for researchers interested in SBST as such the results can be used to compare the existing test techniques, select the best one, and represent the challenges of each technique.

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