Context Replication studies and experiments form an important foundation in advancing
scientific research. While their prevalence in Software Engineering is increasing, there is still …

Metaheuristic search techniques have been extensively used to automate the process of
generating test cases, and thus providing solutions for a more cost-effective testing process …

The time it takes software systems to be tested is usually long. Search-based test selection
has been a widely investigated technique to optimize the testing process. In this article, we …

Automated test case generation based on path coverage (ATCG-PC) is a black-box
optimization problem whose difficulty is attributed to the one-to-many relationship between …

The test case generation is intrinsically a multi-objective problem, since the goal is covering
multiple test targets (eg, branches). Existing search-based approaches either consider one …

The effectiveness of evolutionary test case generation based on Genetic Algorithms (GAs)
can be seriously impacted by genetic drift, a phenomenon that inhibits the ability of such …

A common application of search-based software testing is to generate test cases for all goals
defined by a coverage criterion (eg, statements, branches, mutants). Rather than generating …

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 …

The large body of existing research in Test Case Prioritization (TCP) techniques, can be
broadly classified into two categories: dynamic techniques (that rely on run-time execution …

Automated test generation techniques typically aim at maximising coverage of well-
established structural criteria such as statement or branch coverage. In practice, generating …