Ways to Put Service Virtualization to Use
Agile/Parallel Development
When waiting for access to a piece of the application, DevOps teams can use service virtualization to simulate those missing pieces so they can continue their application development.
Test Data Management
Give testing teams the ability to generate data synthetically, for example, properly formatted and masked social security numbers, which they can then use for testing functionalities.
Partner Onboarding
Offer partners access to sandbox environments of your APIs to integrate more easily at a lower cost.
Performance Testing
Simulate the conditions to make sure your application can handle the full capacity that’s needed for high-demand response times, such as holiday sales.
Employee Training
Train employees in an application they’ll use on a day-to-day basis outside of the actual production version of the software, to prevent access to sensitive data.
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ADDITIONAL RESOURCES
Forrester Wave 👉
Choosing the Right Service Virtualization Solution 👉
The Solution to Your Test Data Management Headaches 👉
The Essential Guide to Environment-Based Testing 👉
How to Adopt and Scale Service Virtualization 👉
Parasoft Virtualize Datasheet 👉
Take a Tour of Parasoft Virtualize 👉
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ABOUT PARASOFT
Parasoft helps organizations continuously deliver quality software with its market-proven, integrated suite of automated software testing tools. Supporting the embedded, enterprise, and IoT markets, Parasoft’s technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award winning reporting and analytics dashboard delivers a centralized view of quality enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives — security, safety-critical, Agile, DevOps, and continuous testing.
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