Machine learning based test coverage in a production environment

A method, comprising:

• at a computing platform comprising at least one processor, and memory:
• retrieving, by a computing device and for a software application, first log data associated with user navigation activity in one or more webpages in a production environment;
• generating, by the computing device and based on the user navigation activity, a production navigational graph for the software application, wherein a node of the production navigational graph represents a webpage visited by a user, and an edge between two nodes represents a navigational link between two webpages visited by the user;
• retrieving, by the computing device and for the software application, second log data associated with testing activity in a testing environment;
• generating, by the computing device and based on the testing activity, a testing navigational graph for the software application, wherein a node of the testing navigational graph represents a webpage tested by a developer, and an edge between two nodes represents a navigational link between two webpages, wherein the navigational link has been tested by the developer;
• analyzing, based on the production navigational graph and the testing navigational graph, a gap between the user navigation activity and the testing activity;
• generating, using a machine learning model, based on analyzing, a coverage graph indicative of the gap;
• and
• providing, via an interactive graphical user interface, the coverage graph, wherein nodes and edges of the coverage graph are associated with selectable visual objects.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, and memory, cause the computing platform to:

• retrieve, in real-time and by a computing device and for a software application, first log data associated with user navigation activity in one or more webpages in a production environment;
• generate, by the computing device and based on the user navigation activity, a production navigational graph for the software application, wherein a node of the production navigational graph represents a webpage visited by a user, and an edge between two nodes represents a navigational link between two webpages visited by the user;
• retrieve, by the computing device and for the software application, second log data associated with testing activity in a testing environment;
• generate, by the computing device and based on the testing activity, a testing navigational graph for the software application, wherein a node of the testing navigational graph represents a webpage tested by a developer, and an edge between two nodes represents a navigational link between two webpages, wherein the navigational link has been tested by the developer;
• generate, using a machine learning model, based on the production navigational graph and the testing navigational graph, a coverage graph indicative of a gap between the user navigation activity and the testing activity;
• and
• provide, via an interactive graphical user interface, the coverage graph, wherein nodes and edges of the coverage graph are associated with selectable visual objects.