- Get everything when needed.
There’s not much room for error when it comes to releasing software. Without service virtualization, process bottlenecks and unavailable/incomplete components reduce development and testing efficiency, plus increase chances of defects. Using service virtualization, developers and testers can access incomplete/unavailable services, components, architectures, sensors databases, mainframes, mobile platforms and more. There’s fewer surprises in production, less defects and a much quicker software cycle.
- Reproduce defects easily.
Developers are under a lot of pressure to move ahead fast, which means code has to work in an environment that might not exist yet. Hard coding or building out a future environment on development machines is one way to keep moving ahead, but not all versions of an application run on developer-created machines—this means defects are found in testing or production. The recreation of the defect scenario requires an environment that’s close to production, but manual recreation is slow and expensive. Service virtualization allows configuration and provisioning of virtual test environments for any test scenario necessary. Once defect reproduction is completed, developers are able to relinquish the virtual test environment and move on to any environment they desire.
- Shift performance testing left.
Performance testing is overlooked often, but it must be done early and often to prevent business failure. By conducting performance testing earlier (shifting left), developers can identify architectural flaws before they’re too expensive to fix. Service virtualization simulates the necessary environments and assets for shifting performance testing left.
Performance testing should be conducted as frequently as possible for all applications, including GUI and non-GUI—it’s not a one-time event. Service virtualization delivers realistic environments without the cost of extra hardware, plus complete accessibility to incomplete or unavailable components.
