Requirements Engineering
Clear, well-defined requirements are the foundation of effective software testing. Ambiguities, miscommunication, and incomplete requirements can lead to defects, costly rework, and project delays. Without traceability and alignment between requirements and test cases, teams struggle to ensure full coverage and validate business needs.
CHALLENGES
Effectively managing requirements presents several challenges
Requirements are often documented in flat, text-based formats, leading to misunderstandings among stakeholders and developers.
Maintaining clear connections between requirements, design elements, and test cases is difficult, hindering impact analysis during changes.
As projects evolve, requirements may shift, making it challenging to keep all stakeholders aligned and ensure the final product meets updated needs.
Perfect requirements drive software quality
Validata Sense.ai’s Smart Requirements Modeling functionality enables banks to design, capture, trace, analyze, visualise and manage their requirements, delivering better quality applications to market faster.
Through an easy-to-use graphic interface, it allows to create and manage use cases and user stories, together with their inputs and expected results to accurately cover the bank’s business requirements. It then automatically generates the optimal set of tests directly from your requirements, and self-updates these 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.
Leveraging AI algorithms, it scans data and conducts process mining to reveal business scenarios that have not been included in the use cases. This enables the bank to increase the accuracy and coverage of the requirements, so you can identify what you should be testing for.
Improving Requirements Quality Avoids Costly Rework
- Visualize and model complex digital and legacy systems, flow and subflow dependencies to quickly provide testers and developers with the in-depth understanding they need.
- There’s no limit on the number of levels, which means you can model requirements of any size or complexity.
- Model the relationships such as dependencies and n:n relationships between child and parent nodes
- Import requirements from other requirements management solutions (e.g. JIRA) and represent in solution.
- Export requirements in .xls or .csv format for import into requirements management solutions
- Automatically generate test cases from the requirements with the right test data.
- Automatically update the test cases whenever there is a change in the requirements.
- A centralized repository where team members collaborate on test models.
- Requirements Traceability reporting : Traceability and coverage protect every requirement from bugs.
Foster quality and collaboration throughout software delivery
Optimize testing process with the minimum number of tests required for 100% business coverage. Define and deliver high quality business requirements that are correct, complete, clear, and testable.
Process mining and AI ensure that every real-world business scenario is covered by the use cases, Increasing accuracy and coverage.
A simple drag-and-drop, code-free user interface, to graphically defining end-to-end business flows and interactions.
Reduce manual effort by automating test design and execution processes, data allocation, and change implementation.
Detect defects earlier when they require less time, resources, and cost to fix.
Map test cases, data and automated tests directly from business requirements and shorten test cycles.
Documentation of the visual models is automatically created and maintained, allowing for an accurate record of the use cases and the system being tested.
