Аннотация
An essential purpose of software testing is detecting the defects for a given set of inputs and estimating the effectiveness of a program operation. This allows the software program to be viewed as the functionality of an input to an output to ensure that the program realizes its function. However, considering all input possibilities is impossible for a complex configuration and large input parameter software due to the different factors including time, cost, and resource constraints. Thus, the need for a more intelligent sampling mechanism is realized. Recently, the widespread use of combinatorial interaction testing has been shown to provide a dramatic solution to such a problem. Although there are combinatorial test techniques that can solve the problem of input defects, the increasing complexity of configurable software systems creates the need for more complex interaction strengths that current solutions do not have. In this paper, we present our approach to this problem and the possibility of using Grid computing to take a better development direction
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