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Stay Aware of Changing Objectives, Targets, and Budgets
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It is important to remember that objectives are bound to change during the life of a project. As requirements change, features are moved into or out of a particular build, hardware decisions are made, code is refactored, and so on. Performance-testing objectives are bound to change as well. Maintain a running dialogue with your team. Ask the team what is changing and how it impacts the objectives. Whether you do this in person or electronically is up to you; just remember that you will be wasting your own time if you are testing against an old, no-longer-relevant objective.
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Case Studies Identifying Performance-testing Objectives
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The following case studies help illustrate the approach to identifying performance-testing objectives.
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Case Study 1
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A 40-year-old financial services company with 3,000 employees is implementing its annual Enterprise Resource Planning (ERP) software upgrade, including new production hardware. The last upgrade resulted in disappointing performance and many months of tuning during production.
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Performance Objectives
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The performance-testing effort was based on the following overall performance objectives: Ensure that the new production hardware is no slower than the previous release. Determine configuration settings for the new production hardware. Tune customizations.
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Performance Budget/Constraints
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The following budget limitations constrained the performance-testing effort: No server should have sustained processor utilization above 80 percent under any anticipated load. (Threshold) No single requested report is permitted to lock more than 20 MB of RAM and 15percent processor utilization on the Data Cube Server. No combination of requested reports is permitted to lock more than 100 MB of RAM and 50-percent processor utilization on the Data Cube Server at one time.
Performance-Testing Objectives
The following priority objectives focused the performance testing: Verify that there is no performance degradation over the previous release. Verify the ideal configuration for the application in terms of response time, throughput, and resource utilization. Resolve existing performance inadequacy with the Data Cube Server.
Questions
The following questions helped to determine relevant testing objectives: What is the reason for deciding to test performance In terms of performance, what issues concern you most in relation to the upgrade Why are you concerned about the Data Cube Server
Case Study 2
Scenario
A financial institution with 4,000 users distributed among the central headquarters and several branch offices is experiencing performance problems with business applications that deal with loan processing. Six major business operations have been affected by problems related to slowness as well as high resource consumption and error rates identified by the company s IT group. The consumption issue is due to high processor usage in the database, while the errors are related to database queries with exceptions.
Performance Objectives
The performance-testing effort was based on the following overall performance objectives: The system must support all users in the central headquarters and branch offices who use the system during peak business hours. The system must meet backup duration requirements for the minimal possible timeframe. Database queries should be optimal, resulting in processor utilization no higher than 50-75 percent during normal and peak business activities.
Performance Budget/Constraints
The following budget limitations constrained the performance-testing effort: No server should have sustained processor utilization above 75 percent under any anticipated load (normal and peak) when users in headquarters and branch offices are using the system. (Threshold) When system backups are being performed, the response times of business operations should not exceed 8 percent, or the response times experienced when no backup is being done. Response times for all business operations during normal and peak load should not exceed 6 seconds. No error rates are allowable during transaction activity in the database that may result in the loss of user-submitted loan applications.
Performance-Testing Objectives
The following priority objectives focused the performance testing: Help to optimize the loan-processing applications to ensure that the system meets stated business requirements. Test for 100-percent coverage of the entire six business processes affected by the loan-manufacturing applications. Target database queries that were confirmed to be extremely sub-optimal, with improper hints and nested sub-query hashing. Help to remove superfluous database queries in order to minimize transactional cost. Tests should monitor for relevant component metrics: end-user response time, error rate, database transactions per second, and overall processor, memory, network, and disk status for the database server.
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