Random testing (RT) is a well-studied testing method that has been widely applied to the
testing of many applications, including embedded software systems, SQL database systems …

Abstract Adaptive Random Testing (ART) is a family of testing techniques that were
proposed as an enhancement of random testing (RT). ART achieves better failure-detection …

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 …

Adaptive random testing (ART) was developed as an enhanced version of random testing to
increase the effectiveness of detecting failures in programs by spreading the test cases …

Deep neural networks (DNNs) have achieved tremendous development while they may
encounter with incorrect behaviors and result in economic losses. Identifying the most …

One goal of software testing may be the identification or generation of a series of test cases
that can detect a fault with as few test executions as possible. Motivated by insights from …

Path testing is one of the most efficient approaches for covering a program during the test.
However, executing a path with a single or limited number of test data does not guarantee …

Adaptive random testing (ART) is an enhancement of random testing (RT), and aims to
improve the RT failure-detection effectiveness by distributing test cases more evenly in the …

Abstract Adaptive Random Testing (ART) aims at enhancing the failure detection capability
of Random Testing (RT) by evenly distributing test cases over the input domain. Many ART …

Dynamic random testing (DRT) strategy uses the testing results collected online to guide the
selection of test cases, which can improve the fault detection effectiveness over random …