A failure to identify inefficiencies in a system impacts the software delivery and impedes the digital transformation journey. Therefore, it is crucial to establish robust value stream mapping and automation strategies enabled by an enterprise’s metrics-driven approach.
As a leader in digital and cloud transformation with deep engineering expertise, Virtusa is well-positioned to solve challenges by offering:
- Best-of-breed quality engineering practices, platforms, tools, and solution accelerators
- Experience with leading industry COTS and open-source tools
- Sustainable talent transformation model that enables superior end-to-end engineering capabilities
What differentiates Virtusa’s digital assurance services from our competitors?
Our three-phase digital assurance approach – Discover, Design, and Deliver – provides our clients end-to-end quality engineering and assurance. First, we discover and create an actionable roadmap based on our client’s current context and desired target. Then, we design a QE process to implement life cycle automation based on our findings from the discovery phase. Finally, we deliver automation leveraging our factory model.
Discover
- Assessment:Assess the current SDLC Capability Levels by evaluating the value streams
- Baseline Scoring:Arrive at a baseline score card for the overall performance index, capability, and practice scores
- Actionable Roadmap:Create a roadmap that includes tool and process rationalization and the business value priority matrix
Design
- QE BlueprintSetting up standardized SOPs, processes, and strategies for E2E QE (Quality Engineering) process
- Prototyping / PilotingPiloting of appropriate test frameworks and accelerators, enabling rapid prototyping, and implementation
- Test Infrastructure:Design and create test infrastructure required for the QE process
Deliver
- Seamless Transition:Collaboration across teams for a flawless transition
- Automation Coverage:Hyperautomation covers release automation, test automation, and infrastructure and operations automation
- Test Artifacts:Run test execution to provide key deliverables in a timely fashion
- Team Ramp-Up:Factory model comprising of a core flex team offers scaled delivery
Help clients navigate through their digital transformation journey by leveraging end-to-end engineering capabilities.
Success Stories
We help clients in providing assurance as they undertake significant digital transformations in their businesses.
Insights
Our experts share knowledge on unlocking new dimensions in software testing that can help businesses strengthen their digital transformation journey.
Frequently Asked Questions
Digital assurance ensures seamless software delivery and accelerates digital transformation by identifying inefficiencies and establishing robust value stream mapping. The service follows a three-phase approach—discover, design, and deliver—to provide end to end quality engineering, implement lifecycle automation, and drive defect reduction.
The services are segmented to cover various aspects of quality and automation:
- Advisory: Assessing landscapes to enhance operational efficiencies.
- Hyper-automation: Utilizing AI-based test lifecycle automation to streamline development.
- Platform assurance: Ensuring high-quality release orchestration through partner solutions.
- Data quality assurance: Securing software delivery with Smart Data Testing solutions.
- Non-functional assurance: Validating application performance, security, and accessibility for a consistent user experience.
To deliver high-quality release orchestration and automation, the service utilizes leading industry COTS (Commercial-Off-the-Shelf) and open-source tools. Specific partners and platforms mentioned in success stories include Google Cloud, Snowflake (for data quality), Murex, and Great Expectations.
AI is central to the "hyper-automation" and "data quality" segments. The Virtusa Helio suite, specifically Helio Assure, is used to reshape QA roles and drive innovation. It leverages generative AI (genAI) to transform testing from simple automation to AI-assurance and UX engineering, while platforms like Accello (an AI-native QA built on Google Cloud) enable faster, more reliable testing with reduced risk.
A leading Australian multinational bank partnered with a leading technology provider to implement a front-to-back test automation solution for its Murex platform. This initiative reduced testing efforts by 30%, cut the Total Cost of Ownership (TCO) by 25%, and significantly improved time to market.