A systematic mapping study of the metrics, uses and subjects of diversity‐based testing techniques

There has been a significant amount of interest regarding the use of DBTtsfull in software testing over the past two decades. Diversity-based testing (DBT) technique uses similarity metrics to leverage the dissimilarity between software artefacts—such as requirements, abstract models, programme structures or inputs—in order to address a software testing problem. DBT techniques have been used to assist in finding solutions to several different types of problems including generating test cases, prioritizing them and reducing very large test suites. This paper is a systematic mapping study of DBT techniques that summarizes the key aspects and trends of 167 papers that report the use of 79 different similarity metrics with 22 different types of software artefacts, which have been used by researchers to tackle 11 different types of software testing problems. We further present an analysis of the recent trends in DBT techniques and review the different application domains to which the techniques have been applied, giving an overview of the tools developed by researchers in order to do so. Finally, the paper identifies some DBT challenges that are potential topics for future work, such as exploring other diversity artefacts and measuring diversity for complex data input.