Patent ID: 9515912
Filing Date: 2016-12-06
CPC Classification: G06F,H04L

Claim Text:
1. A computer program product for generating transaction tracking data that is used to simulate a customer environment or a test case scenario, the computer program product comprising: one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising: program instructions to receive user input data, wherein the user input data includes, at least, an application topology constructed using a graphical user interface, wherein the application topology represents an application environment to be tested, and wherein the application topology includes nodes that are connected by edges; program instructions to validate the user input data for, at least, supported environments of components of the application topology, wherein each of the nodes are assigned properties that describe node attributes of the respective node, wherein the node attributes are selected from the group consisting of operating systems, middleware, and applications, wherein each of the edges are assigned properties that describe edge attributes of the respective edge, and wherein the edge attributes are supported protocols for transaction flow between the nodes; and program instructions to generate transaction tracking data based on, at least, the user input data, wherein the program instructions to generate transaction tracking data comprise program instructions to decompose the nodes into transaction tracking vertical correlation data, context data, status information, and timing data and program instructions to generate, for each node, started events and finished events with specified context and timestamps reflecting the user input data, and wherein the program instructions to generate transaction tracking data comprise program instructions to decompose the edges into transaction tracking inbound events and outbound events with specified context and timestamps that are correlated to source nodes and destination nodes using horizontal correlation data.