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SBST challenges from the perspective of the test techniques

Authors :

Sepideh Kashefi Gargari¹ Mohammad Reza Keyvanpour²

1- دانشگاه الزهرا(س) 2- دانشگاه الزهرا(س)

Keywords :

test case generation ، search-based software test ، evolutionary algorithms ، SBST challenges ، structural testing ، functional testing ، non-functional testing

Abstract :

Despite several decades of work on software quality assurance methods, the test still has a special place. A process that can detect possible software errors with minimum budget and effort is important. Search-based software testing(SBST) is an approach to automated software testing and is an attempt to find a suitable alternative to manual testing. SBST is trying to transform the test problem into an optimization problem and obtain better solutions by searching the problem space. Search-based testing has its challenges as well as its advantages. In this article, considering the importance of SBST in the test area, an attempt has been made to collect the search-based test challenges from the perspective of the test techniques. This article also suggests different research subjects and makes a guideline for researchers interested in SBST and can be used for the aim of comparing the existing test techniques, selecting the best one, and representing the challenges of each.

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