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13.1.3 Pre -Go Live Performance Testing Under Load Pre -Go Live Performance Testing Linder load is not a TriTech Deliverable for this Project. The Client may decide at their discretion to conduct such testing prior to Go Live. TriTech and the Client will mutually discuss the inclusion of this test in the Project and provision for the required time for conducting the test. The section below details the process for conducting pre -Go Live Performance Testing Under Load ("Pre -Go Live Performance Testing") of the Subsystems at the Client site. In addition, this section describes the criteria for success for each subsystem. The purpose of the Pre -Go Live Performance Testing will be to verify that the TriTech Subsystem being deployed conforms to the pre -defined response time criteria set forth in the table below. The applicable Pre - Go Live Performance Testing will be administered by the Client project personnel and will be completed following FAT and prior to Go Live. Client personnel will be responsible for performing the test and generating the necessary load on all systems being tested. Conducting the Pre -Go Live Performance Testing involves four key steps: 1) Pre -Go Live Performance Testing will be conducted based upon a set of functional scripts. TriTech will provide a sample of such scripts to the Client. The Client shall customize these scripts by utilizing the unique terminology and commands by Client. These tests are meant to be a representative sample of the user transactions, and must use the test data that is validated (for example, a valid Geo-verifiable address, and a valid incident code using an existing response area/response plan). Client personnel will use these scripts to generate a load on the Subsystem being tested. These functional scripts will define the exact functions to be performed by the Client personnel to manually generate a prescribed load on the system(s) being tested. 2) Client personnel will use the functional scripts to generate a load. These functional scripts will define the exact functions to be performed by the Client personnel to manually generate a prescribed load on the system(s) being tested. These functional scripts will be used by the Client personnel to define an average load equal to the average load expected at cutover and then at peak load at cutover. These functional scripts will be executed by prescribed numbers of the Client personnel to then simulate the agreed upon loads. 3) Pre -Go Live Performance Testing will be conducted for a period of two (2) to four (4) hours. During this period the Client staff will generate the expected load on the application using the scripts. This test will be supervised by the Client's subject matter experts to ensure that the scripts are followed accurately and the functions within CAD are utilized properly. In order to accurately and sufficiently measure the performance of the Subsystem, each type of transaction must be tested at least ,fifty (50) times. 4) For CAD and Mobile, TriTech will assist in collecting the Performance Testing results by utilizing performance monitoring tools inherent in the system and report the results to Client. This tool will measure the transaction times for the dispatch functions listed in the table below. For Inform RMS, the Client will utilize a stopwatch to manually record the performance of each transaction. The Pre -Go Live Performance Testing is deemed to be successful if at least 90% of the time during the course of the test, the response time is equal to or less than the Pre -Go Live Performance Testing metrics in the tables below. Upon completion of the Performance Testing by the Client, if any performance issues are observed in accordance with below metrics, the Client will report such issues to TriTech. The issue report must include specific information about the steps within the script, the data used for conducting the test, the date and time, The information in this Appendix F- section 13.1.3 Pre -Go Live Performance Testing Under Load is the Confidential & Proprietary Information of TriTech Software Systems. 81