An exponential growth in testing has led to new technologies to build better coordination between Dev and QA. Similarly, Service Virtualization has been continuously acquiring its space in the software development life cycle.
Service virtualization provides a simulated interface to QA teams, and helps them complete their tests on the application under test (AUT). It is primarily used for testing APIs, Cloud Architectures, and Service Oriented Architecture based applications.
Dev and QA teams can now work together on simulated environments to write test scripts and develop services in parallel which can lead to faster releases.
Years
Source: Market Research Future
Reliable Text Execution
Service virtualization enables you to quickly run API tests for load, performance, and functional testing. By simulating the behavior of service requests, testers can develop automated tests as per application’s behavior.
Faster Time To Market
In traditional SDLC approach, the developer has to wait for colleagues and the tester has to wait for the Dev team to finish their tasks. With service virtualization, teams can work in tandem in a simulated environment.
Cost Reduction
Accessing the paid 3rd party APIs for testing could complicate performance tests and can increase the overall cost. Service virtualization simulates these 3rd party APIs and reduces the overall transaction cost and efforts.
Wiremock | ReadyAPI | ParaSoft Virtualize | Traffic Parrot | |
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Virtualization capability
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A mock server for API service virtualization
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API service virtualization to create REST & SOAP service
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API, Web UI, Load Simulation
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API mocking & service virtualization
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Protocols Supported
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HTTP based API
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HTTP, REST, SOAP, JMS, and JDBC
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HTTP(s), JMS, MQ, TCP/IP, SMTP, FTP/SFTP, and RMI
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HTTP(s), JMS, IBM MQ, and FTP
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Record & Playback
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Recording of stubs
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Recording of HTTPs traffic
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Recording of dependent components, databases and traffic over HTTP, JMS, & MQ
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Recording of HTTP SOAP requests, and response
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Availability
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Open-Source
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Commercial
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Commercial
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Partially Open-Source
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Service virtualization is an emerging concept that overcomes the limitations of dependent systems and enables the QA engineers to develop end-to-end tests in parallel to the development phase. SQA companies should include this concept in their development lifecycle to speed-up the automation as well as release processes.
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