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Natural Language Requirements

Natural Language Requirements refer to the practice of expressing software or system requirements in everyday human language, such as English, rather than formal or technical notations. This approach aims to make requirements more accessible to stakeholders like clients, users, and non-technical team members, facilitating clearer communication and understanding. It often involves writing descriptive statements that outline what a system should do, its features, and constraints, which can later be refined into more formal specifications.

Also known as: NLR, Plain Language Requirements, Informal Requirements, User Stories, Business Requirements
🧊Why learn Natural Language Requirements?

Developers should learn and use Natural Language Requirements to improve collaboration with non-technical stakeholders, reduce misunderstandings, and ensure that software aligns with business needs from the outset. It is particularly valuable in agile methodologies, user story creation, and initial project scoping, where clear, plain-language descriptions help prioritize features and validate requirements before detailed technical design. This practice also supports requirements elicitation, documentation, and traceability in projects involving diverse teams.

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