Digitate Launches ignio™ AI.Assurance to Transform Software Testing and Speed Up Software Release Cycles
Mumbai: Digitate, a software venture of Tata Consultancy Services (TCS) (BSE: 532540, NSE: TCS), a leading global IT services, consulting and business solutions organization, announced the release of ignio™ AI.Assurance, an autonomous assurance product that enables enterprises to deliver better software faster, enhancing their business performance.
The new product enables development teams within enterprises to harness the power of artificial intelligence (AI) and machine learning to overcome the bottlenecks and deficiencies of their manual or assisted testing methods, and adopt cutting-edge quality engineering practices for timely software releases that help enterprises deliver unique and compelling customer experiences and enhance their competitive differentiation.
ignio AI.Assurance generates test scenarios autonomously, understands the impact of application changes, and can also reorder the test scenarios based on the application screen workflow. The software reduces testing time and improves release cycle agility. It also reduces software failure risk through intelligent, constraint-based testing. Furthermore, the autonomous assurance model increases release throughput, resulting in reduced cost of quality.
Multimatic, the Toronto-headquartered automotive supplier, is an early adopter of ignio AI.Assurance and is already seeing significant benefits from using the software. Bala Puvitharan, CIO, Multimatic Inc., said “ignio AI.Assurance is beneficial for us in achieving automation in the testing life cycle. Its autonomous nature has reduced testing effort by 80% for one of our complex business scenarios. Its capabilities, such as impact analysis and visual business application flow, will be helping us in delivering quality software faster.”
“Test automation remains a significant bottle neck in releasing new software to the market. The software testing market is a small but important segment of the software lifecycle market and is growing at a CAGR of 4.3% 2018-2023 and will be worth approximately $3.5 bn by 2023. Today, the majority of software testing is still being done manually, or via “fast waterfall” workflow where testing is done after a sprint and not throughout the development cycle. Omdia considers there’s a wide market need for intelligent, faster, and automated testing solutions to support and add value and agility into the DevOps process. AI and ML-based testing is one of the fastest growing areas in the market right now, and we see tools emerging in this space allowing scalable and efficient decision-making, freeing software engineers to spend time on more complex and strategic tasks and businesses to reap benefits of getting software to the market faster,” said Roy Illsley, Chief Analyst for Enterprise IT, Omdia.
“While enterprises are embracing Agile and DevOps for faster software release cycles to meet customer expectations, 75% of the testing life cycle, especially the planning and design stages, continue to be manual and inefficient. The resultant leakage of undetected software quality issues into production and the reduced speed to market are costing businesses trillions of dollars. We saw an opportunity to use machine learning and context-aware AI to enable autonomous testing with comprehensive test coverage, catch defects early and reduce quality-related rework,” said Akhilesh Tripathi, Global Head, Digitate. “ignio AI.Assurance is the first enterprise product to address the long-standing industry need for 100% end-to-end test automation coverage throughout the lifecycle. With ignio AI.Assurance, enterprises can take their software to market faster, and reap unparalleled business benefits that come with agility, speed, and reliability in their software release cycles.”
ignio AI.Assurance expands the ignio suite of closed-loop, autonomous enterprise software for IT and business operations that includes ignio AIOps, ignio AI.WorkloadManagement, ignio AI.ERPOps, ignio AI.Digital Workspace, and ignio Cognitive Procurement.