Digitate, the software division of information technology (IT) services major Tata Consultancy Services (TCS), has launched an artificial intelligence (AI)-based solution to accelerate testing and software release cycles.
Dubbed ignio AI.Assurance, the autonomous platform will help enterprises to improve software quality, the Mumbai-based company said in a statement.
According to TCS, the solution enables development teams within enterprises to deploy AI and machine learning (ML) to overcome the bottlenecks and deficiencies of their manual or assisted testing methods.
The country's largest software exporter said that the solution understands the impact of application changes, and can also reorder the test scenarios based on the application screen workflow. This reduces testing time, improves release cycle agility as well as reduces software failure risk, it added.
The software testing market is growing at a compound annual growth rate of 4.3% 2018-2023 and will be worth approximately $3.5 billion by 2023, TCS said quoting technology research firm Omdia report. It added that manual testing remains a significant bottleneck to bring new software to the market apart from testing not being done throughout the software development cycle.
“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," Akhilesh Tripathi, global head for Digitate said.
TCS said that deploying AI and ML will enable customers to catch defects early and reduce quality-related rework.
In June, Digitate had made its low-code development suite ignio Studio generally available. The software suite leverages AI and ML to deliver autonomous IT for enterprise business operations.
Digitate rolled out ignio AI.Digital Workspace solution in May. It leverages AI and ML to assist service desk teams to achieve better business outcomes.