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 ....

Release Performance

Get Predictable software release planning activity.

Optimize Risk Based Testing

Risk based testing for reduction of unnecessary efforts using Blockchain technology.

Execute Right Test Cases

Optimization across test packs.

Root Cause Analysis

Get cycle time reduction and early defect detection.

Predictions and Deep Analysis

Allocate right resources for the right job.

Detect Bottlenecks

Solve using our two in a box concept (developer & tester combination).

Improve Overall Quality

Understand defect pattern.

Process mining

Understand your flow and find out where you are going wrong and what you can do about it.

Market Value

Understand customer feedback.