Security vulnerabilities play a vital role in network security system. Fuzzing technology is
widely used as a vulnerability discovery technology to reduce damage in advance …

Software testing is a crucial component of software development. With the increasing
complexity of software systems, traditional manual testing methods are becoming less …

Artificial Intelligence (AI) is making a significant impact in multiple areas like medical,
military, industrial, domestic, law, arts as AI is capable to perform several roles such as …

Fuzzing is a widely-used software vulnerability discovery technology, many of which are
optimized using coverage-feedback. Recently, some techniques propose to train deep …

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 …

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 …

Software reliability and robustness is the main objective to perform testing of the software.
Now the machine learning approaches are used to develop applications in almost every …

This article proposes a comparison of methods for determining code complexity when
generating data sets for software testing. The article offers the results of a study for …

To address the problem of automatic software testing against vulnerabilities, our work
focuses on creating a tool capable in assisting users to generate automatic test sets for …

Testing cloud applications has recently gained in importance since many companies
migrated their operations in the cloud. To optimise resources, cloud applications may serve …