US Patent 11954019 Machine learning techniques for automated software testing configuration management

Various embodiments are directed to performing automated software testing configuration management operations. In one embodiment, a method is provided. The method includes generating a graph data structure including nodes representing test steps across test cases of a software testing data object for a software application platform and including segments each connecting two nodes and representing test cases having the two represented test steps. The method further includes receiving a query describing a testing change and generating extracted features from the query. The method further includes generating test outcome requirements and graph portions of the graph data structure relevant to the testing change using supervised machine learning models and the extracted features. The method further includes generating, in response to the query, an updated graph data structure and a change report indicating the relevant test outcome requirements and performing prediction-based actions using the updated graph data structure and the change report.