RTAP for defect prevention (patent pending technology) in the Software Development Life Cycle (SDLC) is one of our proven use cases where we have applied AI in the form of Machine Learning and Natural Language Processing (NLP). RTAP uses ML technology to come up with a test bucket that has all relevant test cases for execution along with execution order for defect prevention.
RTAP leverages Data Science Knowledge specific to this use case, Applicable Machine Learning Models, Process Mining Algorithms, Market Sentiment Analysis Models (using NLP) and Relevant Visualization Dashboard for getting valuable insights into this use case. RTAP has everything you need in one product instance and can be easily embedded into your existing system.
With RTAP you can amplify human decision making ability and deliver high quality products in a timely and cost effective manner. RTAP is a patent pending technology and is rapidly getting adopted at several customer locations. RTAP for SDLC gives you valuable insights into ....
Get Predictable software release planning activity.
Risk based testing for reduction of unnecessary efforts using Blockchain technology.
Optimization across test packs.
Get cycle time reduction and early defect detection.
Allocate right resources for the right job.
Solve using our two in a box concept (developer & tester combination).