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Requirements Modelling:

Overcome Bugs, Testing Bottlenecks, and Barriers to AI

Discover how adding just one process to your software development removes bugs, overcomes QA bottlenecks, and eliminates barriers to AI implementation.



Eliminate bugs, automate test creation

Did you know that most bugs can be prevented before a line of code is written? Over 50% of software defects stem from requirements. 27% are design bugs. Code introduces just 7% of all bugs. Yet, most testing looks for quality issues only after code has been developed. 

This late-stage checking creates costly rework, as bugs are found only after they’ve entered code. To deliver changing requirements at speed, CI/CD needs more than “testing” – it needs a proactive approach to Quality Engineering, involving the whole cross-functional team from day one.  

This webinar will set out how introducing just one new process can eliminate quality issues and testing bottlenecks throughout your SDLC. You will see how collaborative requirements modelling uproots the majority of defects as they arise, while automatically generating up-to-date test cases, scripts and data. The same models even provide structured data for Large Language Models (LLMs), enabling the unprecedented speed gains promised by AI for software development. 


Shift quality left and generate tests

This webinar will show you how upfront requirements engineering eliminates bugs, drives faster development, and automates the generation of optimised tests. You will see:

Requirements Modelling Requirements Modelling

Uproot design bugs before they create costly rework. 

Model based testing Model-Based Testing

Design the smallest set of tests with optimal coverage. 

Continuous Test Generation-1 Continuous Test Generation

Create up-to-date test cases, scripts and data on demand. 

Cross-team collaboration Cross-Team Collaboration

Design, develop and test in parallel from agreed models. 

AI Augmented Software Delivery AI-augmented lifecycles

Build requirements, inform development, and generate tests. 

[1] Statistics taken from Bender RBT, “Requirements Based Testing Process Overview”


Meet The Speakers

Rakesh Pittamandalam_Requirements Modelling


Rakesh Pittamandalam has spent the past 20 years working with startups, multinational software vendors and global system integrators. He is a keen technologist, who has consulted worldwide at Tier 1 banks, financial institutions, federal agencies, and telecom enterprises.

Over the past decade, Rakesh has followed his passion for helping clients accelerate quality and reduce costs when delivering fast-changing IT applications. He has honed and applied domain expertise which is both broad and deep, focusing particularly on continuous delivery, service virtualisation, test automation, release automation and test data management.

George Blundell_Requirements Modelling

George Blundell is a Technical Analyst at Curiosity, where he collaborates closely with organizations on high-priority test automation initiatives. George implements and supports model-based approaches to generating, optimizing, and maintaining rigorous automated tests while supporting close collaboration between stakeholders from across the development lifecycle.


Speak with an expert

Want to learn how upfront requirements modelling can accelerate your software design, development and testing? Speak to us today!

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