Abstract: A method for identifying a push communication pattern includes creating clusters from a communication entity's response buffers. Clusters that meet a first criterion are detected. The communication entity is identified as having a push communication pattern upon a determination that the detected clusters meet a second criterion.

Abstract: A method for identifying a polling communication pattern within a sequence of communication entities includes grouping the communication entities into a plurality of clusters according to a criterion. Clusters are removed from the plurality according to at least one of a time pattern analysis, cluster size, and cluster duration. The clusters remaining are identified as having a polling communication pattern.

Abstract: Transport script generation based on a user interface script is disclosed herein. An example apparatus comprises a processor and a memory comprising machine-readable instructions. When executed by the processor, the machine-readable instructions cause the processor to determine if a first timestamp associated with a server is more recent than a second timestamp associated with a first transport script, the first timestamp representing a time when the server was last updated, the second timestamp representing a time when the transport script was generated. The processor is further to automatically generate a second transport script when the first timestamp is more recent than the second timestamp, the generation comprising: recording network requests while executing a user interface script, and modifying the second transport script based on the recorded network requests. The processor is further to test the server by executing the second transport script.

Abstract: Example embodiments disclosed herein relate to enhancing test scripts with dynamic data. The disclosed embodiments include receiving production data that reflects real user interaction with an application process. Test scripts are generated based on the production data, where the test scripts simulate behavior relating to execution of the application process. The embodiments also include automatically enhancing the test scripts with dynamic data that includes at least one of correlation data and asynchronous data.

Abstract: A method for generating a replayable testing script for iterative use by an automated testing utility may include recording a plurality of scripts, each script relating to a separate iteration of a transaction between a user and a tested application performed by an operator. The method may also include comparing the recorded scripts to identify a location of a data item by finding different values in a pair of corresponding locations in the recorded scripts, indicative of a dynamic data item. The method may further include generating the replayable testing script comprising one of the recorded scripts and having a variable parameter at the identified location of the dynamic data item.

Abstract: A method for identifying a polling communication pattern within a sequence of communication entities includes grouping the communication entities into a plurality of clusters according to a criterion. Clusters are removed from the plurality according to at least one of a time pattern analysis, cluster size, and cluster duration. The clusters remaining are identified as having a polling communication pattern.

Abstract: A method for identifying a push communication pattern includes creating clusters from a communication entity's response buffers. Clusters that meet a first criterion are detected. The communication entity is identified as having a push communication pattern upon a determination that the detected clusters meet a second criterion.

Abstract: Transport script generation based on a user interface script is disclosed herein. An example apparatus comprises a processor and a memory comprising machine-readable instructions. When executed by the processor, the machine-readable instructions cause the processor to determine if a first timestamp associated with a server is more recent than a second timestamp associated with a first transport script, the first timestamp representing a time when the server was last updated, the second timestamp representing a time when the transport script was generated. The processor is further to automatically generate a second transport script when the first timestamp is more recent than the second timestamp, the generation comprising: recording network requests while executing a user interface script, and modifying the second transport script based on the recorded network requests. The processor is further to test the server by executing the second transport script.

Abstract: Transport script generation based on a user interface script is disclosed herein. An example apparatus comprises a processor and a memory comprising machine-readable instructions. When executed by the processor, the machine-readable instructions cause the processor to monitor network requests in response to execution of a user interface script. The processor is to modify a transport script based on the network requests by determining whether a first one of the network requests corresponds to a user interface script command of the user interface script, and, when the first network request corresponds to the user interface script command, inserting the user interface script command as a comment to the transport script.

Abstract: Example embodiments disclosed herein relate to enhancing test scripts with dynamic data. The disclosed embodiments include receiving production data that reflects real user interaction with an application process. Test scripts are generated based on the production data, where the test scripts simulate behavior relating to execution of the application process. The embodiments also include automatically enhancing the test scripts with dynamic data that includes at least one of correlation data and asynchronous data.

Abstract: Techniques for using action significance levels in an automation system are disclosed herein. In one embodiment, an automation system includes an event detector, and event analyzer, and a player. The event detector is configured to detect an event affecting execution of an application being monitored by the automation system. The event analyzer is configured to analyze a detected event and determine importance of an action causing the event to operation of the application. Based on the determined importance, the event analyzer assigns one of a plurality of predetermined significance levels to the action. The player is configured to reproduce each action assigned a significance level at least as high as a selected replay level and to not reproduce any action assigned a significance level lower than the replay level.

Abstract: Dynamic data associated with multiple execution instances of an application process is stored in a data structure. The dynamic data includes correlation data for identifying a communication between at least one client computer and a server computer. The dynamic data in the data structure is retrievable to produce a script to simulate behavior relating to execution of the application process.

Abstract: A method for generating a replayable testing script for iterative use by an automated testing utility may include recording a plurality of scripts, each script relating to a separate iteration of a transaction between a user and a tested application performed by an operator. The method may also include comparing the recorded scripts to identify a location of a data item by finding different values in a pair of corresponding locations in the recorded scripts, indicative of a dynamic data item. The method may further include generating the replayable testing script comprising one of the recorded scripts and having a variable parameter at the identified location of the dynamic data item.

Abstract: In at least some embodiments, a computer system includes a processor and a computer-readable storage medium coupled to the processor and storing a scripting application. The scripting application, when executed, is configured to coordinate use of a browser engine privacy mode with emulation of user operations on a browser-hosted application.

Abstract: Techniques for using action significance levels in an automation system are disclosed herein. In one embodiment, an automation system includes an event detector, and event analyzer, and a player. The event detector is configured to detect an event affecting execution of an application being monitored by the automation system. The event analyzer is configured to analyze a detected event and determine importance of an action causing the event to operation of the application. Based on the determined importance, the event analyzer assigns one of a plurality of predetermined significance levels to the action. The player is configured to reproduce each action assigned a significance level at least as high as a selected replay level and to not reproduce any action assigned a significance level lower than the replay level.

Abstract: In at least some embodiments, a computer system includes a processor and a computer-readable storage medium coupled to the processor and storing a scripting application. The scripting application, when executed, is configured to coordinate use of a browser engine privacy mode with emulation of user operations on a browser-hosted application.