SYSTEM AND METHOD FOR ANNOTATING CLIENT-SERVER TRANSACTIONS

1 . A system for annotating client-server transactions, the system comprising:

an interface configured to receive non-transactional data and a stream of transactional data, wherein:

the non-transactional data comprises information associated with a plurality of events on a computer that correspond to one or more actions taken by a user of the computer;

the stream of transactional data comprises one or more transactions between a computer and a server and are associated with the plurality of events;

a processor configured to:

partition the stream of transactional data into a plurality of portions;

sort the plurality of portions into one or more groups based on similarity of one portion of the plurality of portions to another portion of the plurality of portions;

identify, for each group of the one or more groups, based on the non-transactional data, a possible action of the one or more actions taken by the user; and

label each group of the plurality of groups based at least in part on the identification.

2 . The system of claim 1 , wherein the processor is further configured to identify the possible action of the one or more actions to which each group corresponds by correlating the non-transactional data with the transactional data.

3 . The system of claim 2 , wherein the processor is further configured to identify the possible action taken by the user by determining a probability that the non-transactional data corresponds to the transactional data.

4 . The system of claim 1 , wherein the non-transactional data comprises one or more of:

a timestamp for each of the plurality of events;

a trigger for each of the plurality of events;

information related to a display of the computer at the time of each of the plurality of events; and

information related to a location within the display at which each of the plurality of events occurred.

5 . The system of claim 1 , wherein the processor partitions the stream of transactional data based on one or more timestamps associated with the one or more transactions.

6 . The system of claim 1 , wherein the processor determines whether one portion of the plurality of portions is similar to another portion of the plurality of portions based on a threshold.

7 . The system of claim 1 , wherein the processor is further configured to label each of the one or more transactions based on the identification.

8 . A method for annotating client-server transactions with a computer executing software, the method comprising:

receiving a stream of transactional data associated with a plurality of events on the computer, wherein the plurality of events correspond to one or more actions taken by a user of a computer;

partitioning the stream of transactional data into a plurality of portions;

sorting the plurality of portions into one or more groups based on the similarity of one portion of the plurality of portions to another portion of the plurality of portions;

receiving non-transactional data from the computer, wherein the non-transactional data comprises information about the plurality of events;

identifying, for each group of the one or more groups, based on the non-transactional data, a possible action of the one or more actions taken by the user; and

labeling each group based on the identification.

9 . The method of claim 8 , wherein identifying the possible action of the one or more actions to which each group corresponds comprises correlating the non-transactional data with the transactional data.

10 . The method of claim 9 , wherein identifying the possible action taken by the user comprises determining a probability that the non-transactional data corresponds to the transactional data.

11 . The method of claim 8 , wherein the non-transactional data may comprise one or more of:

a timestamp for each of the plurality of events;

a trigger for each of the plurality of events;

information related to a display of the computer at the time of each of the plurality of events; and

information related to a location within the display at which each of the plurality of events occurred.

12 . The method of claim 8 , wherein partitioning the stream of transactional data is based on one or more timestamps associated with the one or more transactions.

13 . The method of claim 8 , wherein determining whether one portion of the plurality of portions is similar to another portion of the plurality of portions is based on a threshold.

14 . The method of claim 8 , wherein the non-transactional data is received from an event collector on the computer.

15 . One or more computer-readable non-transitory storage media in one or more computing systems, the media embodying logic that is operable when executed to:

partition a stream of transactional data into a plurality of portions, wherein the stream of transactional data is associated with a plurality of events on a computer, wherein the plurality of events correspond to one or more actions taken by a user of the computer;

sort the plurality of portions into one or more groups based on the similarity of one portion of the plurality of portions to another portion of the plurality of portions;

identify, for each group of the one or more groups, based on non-transactional data, a possible action of the one or more actions; and

label each group of the plurality of groups based on the identification.

16 . The media of claim 15 , wherein identifying the possible action of the one or more actions to which each group corresponds comprises correlating the non-transactional data with the transactional data.

17 . The media of claim 16 , wherein identifying the possible action taken by the user comprises determining a probability that the non-transactional data corresponds to the transactional data.

18 . The media of claim 15 , wherein the non-transactional data comprises one or more of:

a timestamp for each of the plurality of events;

a trigger for each of the plurality of events;

information related to a display of the computer at the time of each of the plurality of events; and

information related to a location within the display at which each of the plurality of events occurred.

19 . The media of claim 15 , wherein partitioning the stream of transactional data is based on one or more timestamps associated with the one or more transactions.

20 . The media of claim 15 , wherein determining whether one portion of the plurality of portions is similar to another portion of the plurality of portions is based on a threshold.