Application Engineering R&D
Through intelligent automation, our Application Engineering R&D professionals speed up the application development process while increasing quality.
Our Software Engineering researchers embed intelligent automation in the development lifecycle. We pioneer new approaches, architectures, deployment models, trust models, and testing techniques that latest applications require.
We developed an application testing prototype using extended reality, enabling engineers to “walk into” a virtual, 3-D representation of an application.
Our new “Metamorphic Testing” approach to ID implementation bugs in machine learning-based image classifiers has shown a success rate of 71 percent.
By prioritizing the test scripts that are most likely to fail, developers can accelerate the identification and fixing of bugs and get their products to market faster.
At our Bangalore Lab, we’re exploring how AI and knowledge graphs can help employees upskill through personalized and adaptive “microlearning.
We explain how across five dimensions—data, frameworks, process, technology, and the organization—testing will shift away from the traditional approaches towards new ideas and new methodologies.