To meet the rising demand for software customization, highly configurable software systems
play key roles in practice. Combinatorial interaction testing (CIT) is recognized as an …

Context: More automated and autonomous systems are becoming daily use that implements
safety–critical functions, eg, autonomous driving or mobile robots. Testing such systems …

Search-based software testing (SBST) is now a mature area, with numerous techniques
developed to tackle the challenging task of software testing. SBST techniques have shown …

This is the first work to report on inferential testing at scale in industry. Specifically, it reports
the experience of automated testing of integrity systems at Meta. We built an internal tool …

The process of testing conventional programs is quite easy as compared to the programs
using Deep Learning approach. The term Deep learning (DL) is used for a novel …

Random testing (RT) is a black-box software testing technique that tests programs by
generating random test inputs. It is a widely used technique for software quality assurance …

Combinatorial Testing (CT) is a potentially powerful testing technique, whereas its failure
revealing ability might be dramatically reduced if it fails to handle constraints in an adequate …

In the test case generation process of combinatorial testing, particle swarm optimization
(PSO) is widely concerned for its simple implementation and fast convergence rate; …

Test case prioritization (TCP) aims to reorder the regression test suite with a goal of
increasing the fault detection rate. Various TCP techniques have been proposed based on …

The progress in deep learning methods has bolstered the development of automated
vehicles during the last decade. However, the deployment of deep learning methods in …