TCS Smart Quality Engineering Platform

Overview

Build a quality engineering framework with the TCS Smart Quality Engineering Platform.

The need for quality and speed-to-market acceleration of software is becoming increasingly urgent. Organizations are shifting their approach from ‘quality assurance’ to ‘quality engineering’ to ensure first time right quality. 

This transformation can be achieved through smart application of artificial intelligence, automation, and integration of tools across the ecosystem. When implemented effectively, the approach will bring in huge cost savings and major reductions in go-to-market timelines.

Solution

The TCS Smart Quality Engineering Platform is an intelligent, machine-led platform that tests AI applications and infuses AI for testing purposes.

It integrates machine learning platforms and natural language processing engines with end-to-end capabilities that support AI training and model testing. The platform optimizes an enterprise’s quality engineering life cycle through contextual insights and actionable outcomes. 

The platform has an embedded AI studio that enables automation with tool integration in functional and beyond functional areas, test data, and test environment services. Functional areas would mostly include business functions while beyond functional areas include security, usability, performance, and so on. 

The solution includes:

• AI-led quality engineering: Harness AI and machine learning to achieve high application quality at speed. The features include defect prediction, natural language processing and artificial neural network-led test suite optimization, duplicate test case elimination, duplicate defect analysis, automation failure analysis, automated defect triaging, and automated root cause analysis.

• Assure AI: Validate the AI algorithm bridge and trust deficit to give users the confidence that AI systems are making accurate decisions. The features include conversational system testing, model/algorithm validation, functional and end-to-end chatbot testing, and data bias detection.

• Release orchestration: Digitized release workflow leading to CI/CD with quantitative assessment of release quality.

• Test environment management: Improved governance through workflow-based approvals for environment reservation/scheduling and on demand provisioning to cater to growing environment needs. Stability of the test environments is ensured through monitoring and health checks.

• Test data management: Automate refresh processes through on demand provisioning, test data orchestration, data consumption enabled through entity/query-based test data mining, data governance through reservation, and change impact automation through proactive data model change tracking capabilities.

Benefits

The TCS Smart Quality Engineering Platform helps organizations fulfill their quality engineering transformation objectives and delivers the following benefits:

• Engineered quality: Eliminate waste through analytics and LEAN models. Achieve up to 40% reduction in quality costs.

• Collaboration across units: Enable seamless handover and cut down on manual dependencies using bots.

• Accelerated deployment: Increase business agility with intelligent automation throughout the quality pipeline, reduce cycle times by around 35%, and save more than 60% effort in chatbot test automation.

• End-to-end orchestration: Test the environments’ build, deployment certainty, and test data services right from data profiling through to data provisioning.

The TCS advantage

Transform your quality landscape with our industry-first, platform driven approach.

We deliver industry-leading solutions and seamless transformation experiences to our customers. 

• Flexible, modular solutions: Our outcome-driven platform is modular with the ability to deliver AI testing services.

• Intelligent platform: The AI studio embedded in the platform is an adaptive solution that incorporates AI-ML capabilities to provide an intellectual edge.

• Industry-leading expertise: We are recognized as a pioneer in implementing AI in the quality engineering space. 

• Innovation-led approach: We have extensive research and development experience and dedicated labs that support emerging technologies.

• Robust ecosystem: Our user-friendly solution comprises best-in-class tools to drive superior quality engineering capabilities.