Quality Assurance Evolution and Analysis with AI / ML
In this age of explosive technological acceleration, cognitive technologies are converging to redefine how knowledge is synthesized, disseminated, and analyzed.New Technology platforms and tools, new methodologies with shorter development time and a constant demand to remain competitive and innovative has put the focus back on how testing is being carried out. We have seen usage of cognitive technologies in automation and performance test which helps achieve a level of auto-healing capability. It has been observed that testing teams have evolved to cope with demand and are using AI based testing approach to reduce the overall maintenance and attain optimum efficiency. However, test implementations are majorly executed in-silo (per engagement), or they are reactive rather than proactive.
So, what can an organization or a test team do to make testing and overall test implementation more effective and how can we use the data from multiple testing engagements and make testing predictive and proactive?
In this point of view, we will discuss overview of AI, evolution of quality assurance and discuss few of the scenarios where we can use cognitive analysis to optimize overall testing.
Jigesh Shah is a Performance and Automation Test Architect with rich experience in in US Healthcare, Insurance, and eLearning. Jigesh an OCJP, Certified Scrum Master , AWS , Docker and Azure associate has worked on various testing tools like Load Runner, VSTS ,Selenium, JIRA ,SQL Server, DynaTrace, AppDynamics, Appium, Microsoft team system and various test management tools. He is currently assigned to a public sector client and has been responsible for the delivering large scale & hybrid performance and automation testing solutions.
Mradul Kapoor is a QA leader working with Deloitte Consulting, he specializes in fast-paced large-scale implementation with low code and no code platforms and QA delivery. He leads overall quality assurance (QA) for client’s deliverables including setting up a large-scale testing practice and Testing Center of Excellence (TCoE) to achieve optimum quality standards across various pillars of quality per business specifications, agreed timelines, and effective cost. Experienced in setup and manage large-scale TCoE across the shore with the latest QA technology stack for fortune 500 firms as well as start-ups. Mradul has strong hands-on experience in test team management and skills demonstrated across all test levels, including specialist testing such as automation, performance, and accessibility testing.