Abstract: 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.

Abstract: 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.

Abstract: Methods, apparatuses, systems, computing devices, computing entities, and/or the like are provided. An example method may include receiving a requirement request data object, generating at least one of a predicted complexity attribute or a predicted work track attribute corresponding to the requirement request data object, generating at least one predicted defect description attribute or at least one predicted test case description attribute corresponding to the requirement request data object, and transmitting a prediction data object that includes at least one of the predicted complexity attribute, the predicted work track attribute, the at least one predicted defect description attribute, or the at least one predicted test case description attribute. In some examples, the client device is configured to perform one or more software testing operations corresponding to the software testing task based at least in part on the prediction data object.

Abstract: Methods, apparatuses, systems, computing devices, computing entities, and/or the like are provided. An example method may include receiving a requirement request data object, generating at least one of a predicted complexity attribute or a predicted work track attribute corresponding to the requirement request data object, generating at least one predicted defect description attribute or at least one predicted test case description attribute corresponding to the requirement request data object, and transmitting a prediction data object that includes at least one of the predicted complexity attribute, the predicted work track attribute, the at least one predicted defect description attribute, or the at least one predicted test case description attribute. In some examples, the client device is configured to perform one or more software testing operations corresponding to the software testing task based at least in part on the prediction data object.