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Use this article to plan AIQ performance tests that define goals, load model, environment readiness, execution controls, and result interpretation before a test is run. What changed in this article Kept the title but refreshed the methodology around current AI...

The Appvance method evaluates scalability, performance, and developer productivity across different implementation approaches for Internet application services. The methodology compares conventional application-stack implementations with native XML and data-pr...

Software architects and developers choose XML parsing techniques, service libraries, encoding techniques, and protocols when building services using SOA techniques. Each choice has an impact on the scalability and performance of the finished service. In this e...

Recommended guidance Add calibration testing to the performance test plan before running large scalability tests. Calibration confirms that the script, data, environment, load model, monitoring, and result collection are ready for higher-volume execution. Cali...

Calibration testing helps identify how a system behaves as the load level changes and provides a basis for selecting appropriate test levels. However, a calibration test cannot account for every possible system behavior or bottleneck. The Calibration What-If C...

Identifying Service Performance Metrics Overview Scalability and performance testing provides meaningful business value when it is performed using a consistent, repeatable, and measurable methodology. A performance test should do more than determine whether a ...

Recommended guidance Document the complete test environment before running scalability or performance tests. Results are only useful when the hardware, software, network, data, monitoring, and AIQ execution configuration are known and repeatable. Capture these...

Testing services for scalability and performance differs from testing individual software components or application code. Service performance testing focuses on understanding how a service behaves as the workload increases, including changes in concurrent requ...

The Scalability Index describes how a service responds to increasing concurrent request (CR) levels and payload sizes. It is used during calibration to identify the range in which the service operates efficiently and to determine appropriate load levels for th...

Recommended guidance A scalability and performance kit should contain the information needed to plan, run, analyze, and repeat an AIQ performance test. Keep the kit organized so another reviewer can understand the load model, environment, scripts, data, result...

The Appvance Test Methodology uses three key concepts to define and organize tests: Use Case – describes the functionality or approach being tested. For example, a test comparing XML parsing techniques could have two use cases: one using the Xerces DOM parser ...

The Appvance Test Methodology defines common test goals used when testing Internet application services. Because application architectures and service technologies continue to evolve, the methodology is not limited to these test goals. The following concepts a...

Recommended guidance Transactions per second (TPS) measures how many completed business transactions or requests are processed during a test window. In AIQ performance testing, define TPS carefully before comparing runs because different teams may count transa...

Countering software developers by saying "If you design for every possible user, no individual user will have their goals met when they use your software application!" Coverage tests are typically pointless, as users typically take a path through the functions...

Performance Testing Primer for AIQ Last reviewed: September 21, 2026 This primer explains the baseline concepts for planning performance and scalability tests in AIQ. Use it before designing load profiles or interpreting reports. When to use this guidance You ...

For performance testing, you can maximize the number of concurrent browsers that can be opened in a node. For AWS EC2 nodes running AIQ, the number of concurrent Chrome browsers that can be assigned per node is arou...

Contents Appvance IQ Live Test Controller How to Access Test Controller Different Functions Live Reports Execution Control Output Test Case Executions Test Node Active Virtual Users Assert Suite AutoCorrelation ...

The Live Controller provides real-time monitoring of scenario executions in Appvance IQ. It allows users to view execution data as it becomes available and monitor the current state and performance of a running test. During a scenario execution, the Live Contr...