Our tailor-made performance testing services evaluate, anticipate and manage software performance under normal load, at peak periods and in stress conditions — at each stage of the software development life cycle.

The Performance Testing Process

Also known as Non-Functional Testing, performance testing is a key activity that must be performed to ensure that application won’t buckle under a given load.

The Business Objectives of Performance Testing

Performance Management

ImpactQA focuses on enabling the customer to manage software solution performance, which means much more than simply reacting to detected performance issues. We help our customers take control over their application productivity through realistic performance planning, efficient monitoring and manageable improvements across the whole life cycle.

Application Availability

Poor application or Web service availability leads to lost revenue and increased operational costs. ImpactQA helps customers mitigate the risk of denial of service (and related business impacts) caused by an application’s weak load resistance. This service is often an element of application security testing.

Software TCO

Managing performance is one key to reducing software TCO. By delivering performance projections for load dynamics and usage scenarios, ImpactQA provides a powerful tool for mid-term and long-term optimization of hardware investments, operational and maintenance costs, recovery plans, etc.

User Experience

Performance issues may compromise the user experience that is vital for both online service consumers and employees who use software solutions to facilitate operations. In addition to creating performance metrics and conducting related technical analysis, ImpactQA pays attention to how an application's behavior affects its usability.

Scope of Performance Testing

Stress Testing
  • Compares new application/ server to existing application/ server.
Benchmark Testing
  • Verifies the acceptability of the server's performance behavior under abnormal or extreme conditions.
  • For example, diminished resources or extremely high number of users.
Configuration Testing
  • Performance behavior using varying configurations while the operational conditions remain constant.
Load Testing
  • Verifies performance during different workloads.
Contention Testing
  • Verifies that the server can handle multiple user demands on the same resource (that is, data records or memory).

Performance Results Analysis