This paper introduces an original security testing approach guided by risk assessment, by means of risk coverage, to perform and automate vulnerability testing for Web applications. This approach, called Risk-Based Vulnerability Testing, adapts Model-Based Testing techniques, which are mostly used currently to address functional features. It also extends Model-Based Vulnerability Testing techni...

Model-based testing helps test engineers automate their testing tasks so that they are more cost-effective. When the model is changed because of the evolution of the specification, it is important to maintain the test suites up to date for regression testing. A complete regeneration of the whole test suite from the new model, although inefficient, is still frequently used in the industry, inclu...

Objective: The purpose of the present study was to investigate the association of metacognitive beliefs and perfectionism with test anxiety among students.  Methods: The present study was a cross sectional research. Study population comprised all male and female students of Kermanshah City. A total of 440 students (200 males and 240 females, aged 17-18 years) in the third or fourth grade ...

In this paper, we propose the compositional test method (C-method), which exploits the structure of component-based communication systems. The C-method first tests each component separately for output and/or transfer faults, using one of the traditional test methods, then checks for composability, and finally tests the composite system for composition faults. To check for composability and to d...

Since testing is an expensive process, test selection has been proposed as a way to reduce such expense. A good selection of tests can be done using specification coverage functions. Model-based ioco theory, however, uses test suites which are not suitable for computing coverage because of interdependence of their test cases. We define a new test suite that overcomes such problems. Using such a...

Context: Evolutionary algorithms have proved to be successful for generating test data for path coverage testing. However in this approach, the set of target paths to be covered may include some that are infeasible. It is impossible to find test data to cover those paths. Rather than searching indefinitely, or until a fixed limit of generations is reached, it would be desirable to stop searchin...

This paper proposes a simple goodness-of-fit test based on the sample covariance. It is shown that this test is preferable for alternatives of increasing and unimodal failure rate. Critical values for various sample sizes are determined by means of Monte Carlo simulations. We compare the test based on the sample covariance with tests based on Hoeffding's maximum correlation. The usefulness o...