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The paper presents interesting results that demonstrate that we can get a reduction in the time required to find conflicts between requirements, which implies a reduction in the global development costs.
Constructing appropriate abstractions in formal models requires skill and managing the complexity of the relationships between requirements and formal models can be difficult.
Analyses form the feedback between requirements and design.
In fact, previous research has demonstrated strong relationship between requirements and systems affordability.
It also reveals that new technology can cause a mismatch between requirements and expectations.
The proposed methodology includes explicit traceability between requirements, design, implementation and test cases.
In particular, we focus on the traceable relationship between requirements and architectural structures.
Many would agree that there is a relationship between requirements engineering and software architecture.
It supports communication between different disciplines and therefore helps identifying important requirements and relations between requirements from different domains.
This bridges the gap between requirements for anyonic quantum computation and the potential of state-of-the-art technology.
This precision is important for a tools-based architectural approach that supports traceability between requirements, design and implementation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com