Abstract: The system obtains a corpus of data, and extracts triples from the corpus. A first element in a triple indicates a first record in the corpus, a second element in the triple indicates a second record in the corpus, and a third element in the triple indicates a relationship between the first and second records. The system generates grammars representing the triples. A grammar includes concepts and relationships. The concepts include a first and a second concept representing the first and the second record, respectively. The relationships represent the relationship between the first and second records. The system applies each grammar to the triples to obtain an indication of whether each triple is correct. Based on the indication of whether each triple is correct, the system determines an accuracy of each grammar. Based on the accuracy of each grammar, the system selects a grammar having the highest accuracy.

Abstract: Techniques related to identifying a component causing an issue in a wireless telecommunication network are disclosed. In one example aspect, a method for wireless communication includes creating a knowledge graph representing dependencies among components in the wireless telecommunication network. In response to obtaining an indication of the issue in the wireless telecommunication network, the indication of the issue and the knowledge graph are provided to a trained machine learning (ML) model, and the trained ML model indicates a particular component among the components in the wireless telecommunication network that is likely causing the issue.

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.