Authors :
Pavan Kumar Gollapudi
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/7zttzp85
Scribd :
https://tinyurl.com/yc45vj5h
DOI :
https://doi.org/10.5281/zenodo.14603653
Abstract :
Cloud-based testing for Guidewire applications
focuses on enhancing scalability and performance to
address the complexities of policy and claims management
systems. By leveraging cloud platforms like AWS and
Azure, dynamic resource allocation, real-time analytics,
and high-volume test execution are achieved. The
approach ensures robust validation of Guidewire modules,
including PolicyCenter, ClaimCenter, and BillingCenter,
enabling faster releases and optimized performance.
AIM:
To develop a scalable and efficient cloud-based testing
framework for Guidewire applications that ensures
comprehensive test coverage, seamless integration, and high
system reliability during high-demand operations.
Study Design:
The study utilized automated regression, API, and
performance testing to evaluate Guidewire’s scalability and
reliability. It emphasized real-time resource management in
cloud environments and iterative testing to adapt to system
updates. Tools like JMeter, Selenium, and Postman were
used to execute end-to-end tests while analyzing their impact
on performance.
Place and Duration of Study:
Place:
Conducted in a cloud-based environment utilizing AWS
and Azure platforms to replicate real-world operational
conditions. The distributed study enabled remote
collaboration among QA teams globally.
Duration:
Spanned 6 months, divided into setup (1 month),
iterative testing (4 months), and results analysis and
optimization (1 month)
Methodology:
The methodology for cloud-based testing of Guidewire
applications involves dynamic cloud resource provisioning,
automated tests for UI, API, and load validation, real-time
monitoring, and iterative optimization. Tools like AWS,
Selenium, Postman, and JMeter ensure scalability, while
CI/CD pipelines integrate continuous testing for enhanced
performance.
Conclusion:
Cloud-based testing for Guidewire applications delivers
scalability, agility, and superior performance validation. By
integrating dynamic resource management, automated
testing tools, and real-time analytics, the approach reduces
operational risks, accelerates deployments, and ensures
robust system functionality under dynamic loads. This
method proves essential for modernizing insurance systems.
Keywords :
Cloud-Based Testing, Scalability, Performance Optimization, Automation, Load Testing, Agile Methodologies, Cost Efficiency.
References :
- Cloud-Based Testing: Benefits & Best Practices: https://www.testwheel.com/blog/cloud-based-testing/?
- 6 Best Practices for Cloud Performance Testing: https://www.testingxperts.com/blog/cloud-performance-testing?
- Cloud Performance Testing: Key Methods, Metrics & Tools: https://www.tricentis.com/learn/cloud-performance-testing-methods-metrics-tools?
- A Comprehensive Guide to Cloud-Based Testing: https://dev.to/grjoeay/a-comprehensive-guide-to-cloud-based-testing-16e9?
- Automated Guidewire Testing Services: https://www.aspiresys.com/insurance/guidewire-transformation-services/testing-services?
- AI-Driven Test Data Management for Guidewire: https://www.synthesized.io/guidewire-testing?
- Empowering Guidewire Automation with AI-Powered GT Framework Scripts: Whitepapers | SLK Software
- Master Guidewire Testing: Best Practices for PolicyCenter, ClaimCenter, and BillingCenter:https://qualizeal.com/master-guidewire-testing-best-practices-for-policycenter-claimcenter-and-billingcenter/?
- Guidewire Test Automation: https://www.virtuosoqa.com/solutions/guidewire-test-automation?
- Model-Driven, End-to-End Testing Solution for Guidewire: https://www.htcinc.com/wp-content/uploads/2022/03/HTC-InsurQA_Guidewire_TestSuite_Brochure_Final.pdf?
- Guidewire Insurance Application Testing: https://www.functionize.com/guidewire-testing?
- Policy Servicing with Smart AI Solutions: Meet Aspire Systems at Guidewire Connections 2024: https://blog.aspiresys.com/insurance/policy-servicing-with-smart-ai-solutions-meet-aspire-systems-at-guidewire-connections-2024/?
- CenterTest: The Ultimate Solution for Guidewire Test Automation: https://kimputing.com/blog/centertest-the-ultimate-solution-for-guidewire-test-automation/?
- Shekar Madishetty. Integration Gateway: Re-imagining P&C Integrations for the Cloud.
- Available:https://developer.guidewire.com/integration-gateway-reimagining-p-and-c-integrations-for-the-cloud/
- Simon Reading, and Mark Bolger. Simplifying Outbound Integrations in InsuranceSuite Cloud - Part 2. Available: https://developer.guidewire.com/simplifying-outbound-integrations-in-insurancesuite-cloud-part-2/
- Business flows: Framework APIs. Guidewire documentation, Accessed 12 December 2024.Available:https://docs.guidewire.com/cloud/pc/202402/cloudapibf/cloudAPI/topics/141-Framework/p_framework-business-flows.html
- Cloud API Documentation. Guidewire documentation, Accessed 12 December 2024. Available: https://docs.guidewire.com/cloud/pc/202402/apiref/
- Ryan Smith. Public API Reference for InsuranceSuite Available Now. Accessed 12 December 2024.Available: https://developer.guidewire.com/public-api-reference-for-insurancesuite/
- IEEE Access: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9046765
- Chris Vavra, Cloud Integration Framework: The Right Tools for the Job.
- Available: https://www.guidewire.com/resources/blog/technology/cloud-integration-framework-the-right-tools-for-the-job
Cloud-based testing for Guidewire applications
focuses on enhancing scalability and performance to
address the complexities of policy and claims management
systems. By leveraging cloud platforms like AWS and
Azure, dynamic resource allocation, real-time analytics,
and high-volume test execution are achieved. The
approach ensures robust validation of Guidewire modules,
including PolicyCenter, ClaimCenter, and BillingCenter,
enabling faster releases and optimized performance.
AIM:
To develop a scalable and efficient cloud-based testing
framework for Guidewire applications that ensures
comprehensive test coverage, seamless integration, and high
system reliability during high-demand operations.
Study Design:
The study utilized automated regression, API, and
performance testing to evaluate Guidewire’s scalability and
reliability. It emphasized real-time resource management in
cloud environments and iterative testing to adapt to system
updates. Tools like JMeter, Selenium, and Postman were
used to execute end-to-end tests while analyzing their impact
on performance.
Place and Duration of Study:
Place:
Conducted in a cloud-based environment utilizing AWS
and Azure platforms to replicate real-world operational
conditions. The distributed study enabled remote
collaboration among QA teams globally.
Duration:
Spanned 6 months, divided into setup (1 month),
iterative testing (4 months), and results analysis and
optimization (1 month)
Methodology:
The methodology for cloud-based testing of Guidewire
applications involves dynamic cloud resource provisioning,
automated tests for UI, API, and load validation, real-time
monitoring, and iterative optimization. Tools like AWS,
Selenium, Postman, and JMeter ensure scalability, while
CI/CD pipelines integrate continuous testing for enhanced
performance.
Conclusion:
Cloud-based testing for Guidewire applications delivers
scalability, agility, and superior performance validation. By
integrating dynamic resource management, automated
testing tools, and real-time analytics, the approach reduces
operational risks, accelerates deployments, and ensures
robust system functionality under dynamic loads. This
method proves essential for modernizing insurance systems.
Keywords :
Cloud-Based Testing, Scalability, Performance Optimization, Automation, Load Testing, Agile Methodologies, Cost Efficiency.