The security of an application is critical for its success, as breaches cause loss for
organizations and individuals. Search-based software security testing (SBSST) is the field …

Over the years metaheuristics have been successfully applied to optimization problems in
many real-world applications. The increasing complexity and scale of the problems …

This paper discusses an open source tool that is capable to assist users in generating
automatic test data for multiple programs under test. The tool works by clustering inputs data …

Combining fuzzing techniques and reinforcement learning could be an important direction in
software testing. However, there is a gap in support for experimentation in this field, as there …

This paper presents an improvement to a new opensource testing tool capable of performing
concolic execution on x86 binaries. The novelty is to use a reinforcement learning solution …

Glowworm swarm optimization (GSO) is one of the optimization techniques, which need to
be parallelized in order to evaluate large problems with high-dimensional function spaces …

Solving problems of high dimensionality (and complexity) usually needs the intense use of
technologies, like parallelism, advanced computers and new types of algorithms …

This paper presents an integrated testing framework for Internet of Things (IoT) systems
based on the open-source platform RIVER. Our objective is to leverage the existing methods …

The increasingly popular no-or low-code paradigm is based on functional blocks connected
on a graphical interface that is accessible to many stakeholders in an application. Areas …

This paper presents a novel method for creating and using generative models for testing
software applications. At the core of our method, there is a tool performing binary tracing …