Abstract: Methods, non-transitory computer readable media, test management computing devices that obtain test scripts associated with a test suite for testing an application for the test scripts. A vector model is generated based on a semantic vectorization of the obtained test scripts. A cluster optimization is implemented on the vector model to identify a plurality of maximally separate and compact clusters. A subset of the test scripts that are candidates for facilitating reduction of the test suite is determined, based on the identified clusters, and an indication of each test script of the subset of the test scripts is output. With this technology, a semantic analysis of test scripts of a test suite is implemented to reduce the size of the test suite while advantageously maintaining the coverage with respect to an associated enterprise application as well as ensuring a low level of redundancy present in the test suite.

Abstract: Methods, non-transitory computer readable media, test management computing devices that obtain test scripts associated with a test suite for testing an application for the test scripts. A vector model is generated based on a semantic vectorization of the obtained test scripts. A cluster optimization is implemented on the vector model to identify a plurality of maximally separate and compact clusters. A subset of the test scripts that are candidates for facilitating reduction of the test suite is determined, based on the identified clusters, and an indication of each test script of the subset of the test scripts is output. With this technology, a semantic analysis of test scripts of a test suite is implemented to reduce the size of the test suite while advantageously maintaining the coverage with respect to an associated enterprise application as well as ensuring a low level of redundancy present in the test suite.