Especially in core banking projects with strict deadlines and the need to reach to market faster, testers and developers don’t have the luxury of time to go through large documents to find the information they need and then start the endless emails to discuss the individual use cases associated with each requirement. Many messages that start and end with "what did you mean by X?".

In many cases teams even lack in knowledge and experience around the core banking system, and this prevents them from translating the Business Requirement Documents (BRDs and FSDs) into requirements and design the test cases, positive and negative testing, for early defect Identification. So, the result delivered from the developers looks very different from what the business had envisioned.

Requirements visualization is a visual representation of the requirements - translating thousand words in a single picture. This means:

• Flexibility and ease of use - flow diagrams can be easier to navigate helping to find content
• Any errors can be easily identified with visualization
• Ability to identify potential parallelisms between requirements and business processes
• Ability to identify missing Use Cases in a business process
• Better understanding of the requirements themselves, and their dependencies.

The visual models can be diagrams, flowcharts with textual descriptions showing how requirements translate into functionality, user experience, and business value, effectively improving the communication within a team, especially when dealing with more complex processes. Leveraging visual models, we can incorporate new user stories rapidly, quickly identifying their impact on existing systems and generating rigorous tests to validate any changes made.

Deliver software that reflects changing user needs.

Validata Sense.ai’s Smart Requirements Modeling functionality enables management and visual representation of the requirements as real-world objects and displays them in terms of their relationships to other objects.

It models complete and unambiguous flowcharts for maximum test coverage, automatically generates the optimal set of tests directly from your requirements, and self-updates the tests if there is a change in the requirements. The test cases are linked to the right data and expected results so that you can exhaustively test an application with maximum test coverage.

In doing so, you are able to reduce manual effort by automating test design and execution processes, data allocation, and change implementation, and detect defects earlier when they require less time, resources, and cost to fix.