In present paper we propose an approach to automatic generation of test data set based on
application of the genetic algorithm. We consider original procedure for computation of the …

In present paper we investigate an approach to intelligent support of the software white box
testing process based on evolutionary paradigm. As part of this approach we solve the …

In the present paper, we investigate an approach to intelligent support of the software white-
box testing process based on an evolutionary paradigm. As a part of this approach, we solve …

In present paper we solve an urgent problem of generating the optimal set of test data that
provides maximum statement coverage of the code when it is used in the software white box …

Software testing is a fairly labor-intensive process, while not having obvious benefits and
results, but being no less important than any other stage of the program life cycle. One of the …

This article proposes a comparison of methods for determining code complexity when
generating data sets for software testing. The article offers the results of a study for …

Software maintenance is one of the critical parts in the processes of Software-Development
Life Cycle. The body knowledge of maintaining the new software versions base on the …

Software testing is one of the most important methods of analyzing software quality
assurance. This process is very time consuming and expensive and accounts for almost …

The test data generation is one of the most time-consuming tasks during software testing,
especially for the manual testing. With the rapid development of metaheuristic searching …

In this paper, we investigate a modification of the method of data generation for multiple
code paths within a single launch of the genetic algorithm. This method allows the …