CA LISA Service Virtualization

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Applications are essential to business today, yet time-to-market, development costs, and application quality remain significant challenges. Complexity and constraints inherent to composite application development continue to disrupt application development efforts despite ever-increasing investment and focus.

CA LISA simulates constrained or unavailable systems across software development lifecycle (SDLC), allowing developers, testers and performance teams to work in parallel for faster delivery and higher application quality and reliability.

CA LISA works with existing development and testing frameworks and software integration tools of choice. Now businesses can:
Accelerate overall software release cycle times amidst change and complexity
Realize agile parallel development without constraints
Increase productivity with less manual lab configuration and test data management
Reduce software environment infrastructure costs
Lift quality left or higher performance and less risk


Remove constraints throughout the SDLC by modeling and simulating unavailable or dependent systems
Enable parallel development and testing to reduce cycle times, detect defects early and increase IT productivity
Reduce demand for lab infrastructure and software to avoid costs and reduce configuration effort
Create live-like development environments to improve application quality
Leverage existing application development and integration platforms to protect IT investments


Accelerate time-to-market by enabling parallel software development, testing and validation
Improve application quality by testing earlier in the SDLC where it is less expensive and disruptive to solve application defects
Reduce costs by eliminating much of the concurrent demand for development environments and pay-per-use service charges
Assure performance readiness by properly evaluating scalability of applications with load testing at the component level and incorporating production network conditions in the test lab
Reduce costs and complexities of test data and scenario management by virtualizing the system behavior to account for edge conditions, negative test scenarios and error conditions
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