Software testing activities account for a considerable portion of systems development cost
and, for this reason, many studies have sought to automate these activities. Test data …

Path testing is the strongest coverage criterion in white box testing. Finding target paths is a
key challenge in path testing. Genetic algorithms have been successfully used in many …

Test case generation is a painstaking task in software testing and has a strong influence on
the efficiency and the effectiveness of software tests. It is an important subject in software …

This paper presents a technique that based on a combination of genetic algorithm (GA) and
particle swarm optimization (PSO), and is thus called GPSCA (Genetic-Particle Swarm …

Context: As a fault-based testing technique, mutation testing is effective at evaluating the
quality of existing test suites. However, a large number of mutants result in the high …

Software testing is one of the most labor-intensive and crucial phases of the software
development life cycle. It accounts for about 50–60% of the total cost of a project and …

Software testing is a process for insuring the delivery of an error free software to customers.
The success or failure of the software to achieve its desirability is depend on the software …

Software Engineers waste a lot of their time in the process of software testing. It also has
been seen in the industries that a lot of money is depleting on the software process. In …

Clustering is an unsupervised classification method that focused on grouping data into
clusters. The objects in each cluster are very similar but different from the objects in the other …

Equivalent mutants (EM) issue is a key challenge in mutation testing. Many methods were
applied for detecting and reducing the equivalent mutants. These methods are classified into …