Using Fuzzy Logic Techniques for Assertion-Based Software Testing Metrics

Abstract EN

Software testing is a very labor intensive and costly task.

Therefore, many software testing techniques to automate the process of software testing have been reported in the literature.

Assertion-Based automated software testing has been shown to be effective in detecting program faults as compared to traditional black-box and white-box software testing methods.

However, the applicability of this approach in the presence of large numbers of assertions may be very costly.

Therefore, software developers need assistance while making decision to apply Assertion-Based testing in order for them to get the benefits of this approach at an acceptable level of costs.

In this paper, we present an Assertion-Based testing metrics technique that is based on fuzzy logic.

The main goal of the proposed technique is to enhance the performance of Assertion-Based software testing in the presence of large numbers of assertions.

To evaluate the proposed technique, an experimental study was performed in which the proposed technique is applied on programs with assertions.

The result of this experiment shows that the effectiveness and performance of Assertion-Based software testing have improved when applying the proposed testing metrics technique.