SBST challenges from the perspective of the test techniques

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.