Capgemini's Smart QA Ships with Self-Managing Autonomic System
NEW YORK, NY: Capgemini launches Smart Quality Assurance (QA) testing tool for financial service institutions. Being an analytics-driven platform, Capgemini’s Smart QA assists banks and financial institutions as well as insurers to build an end-to-end ecosystem comprising testing assets, a test environment, test data and performance data.
Smart QA is a smart self-aware and self-monitoring analytics-driven platform with the ability to understand the resources it is using along with functionalities such as automatic discovery and correction of known faults. Smart QA is designed for the financial service markets with inbuilt capabilities to assist other industries as well. “Smart QA has been designed to help financial services institutions keep up with the rapid pace of innovation required to address today’s digital disruption and DevOps demands,” states Govind Muthukrishnan, Head of Financial Services Testing, Capgemini.
Leveraging micro-services architecture principles, the services included in Smart QA— Intelligent Test Automation Platform, Smart Foundry, Command Center and more—can be subscribed to individually or as a complete service model. Smart Foundry is an integrated test environment and data provisioning factory whereas, Command Center is a real-time reporting tool. The platform is created around three major entities that make the testing system smart and adaptable:
Smart Asset: A smart asset could be a test case, test environment or test data and each asset that can evolve, self-monitor based on environmental factors.
Smart Integration: Various tools, components, frameworks and each of the smart assets are integrated such that interaction between assets within the correct context is allowed. The components are facilitated with open API and integration, which will help to set the protocols for engagement among assets and in minimizing manual interference. Looking at a particular case, smart integrations allow a smart test case to define the environment and data set required for execution.
Analytics Engine: An analytics engine comprises of capabilities empowered by smart techniques and insights which can be used by Test Architects to rank and prioritize items for testing, reduce the testing efforts and focus on areas of improvement.
Together, the components flawlessly connect with automatic agents to deliver a zero touch testing experience.