What are the minimum requirements for a Feature?
A . Acceptance criteria, data models, and priority
B . Name, benefit hypothesis, and acceptance criteria
C . Benefit hypothesis, acceptance criteria, and priority
D . Non-functional requirements, data models, and architecture
Answer: B
Explanation:
The minimum requirements for a feature are a name, a benefit hypothesis, and acceptance criteria12. A name is a brief and descriptive phrase that summarizes the feature. A benefit hypothesis is a statement that describes the expected outcome and value of the feature for the customer or user. Acceptance criteria are a set of conditions that the feature must satisfy to be accepted by the customer or stakeholder12.
Some additional information that might be helpful for you are:
• The other options (A, C, and D) are not the minimum requirements for a feature, but rather additional or optional elements that may be included in the feature definition.
• Data models are representations of the data structures and relationships that the feature requires or affects. Data models are not mandatory for a feature, but they may be useful for complex or data-intensive features3.
• Priority is the relative importance or urgency of a feature compared to other features. Priority is not a requirement for a feature, but it is a factor that influences the feature selection and sequencing4.
• Non-functional requirements (NFRs) are system qualities that guide the design of the solution and often serve as constraints across the relevant backlogs. NFRs are not specific to a feature, but they may affect the feature implementation or testing5.
• Architecture is the design and structure of the system that supports the solution. Architecture is not a requirement for a feature, but it is an enabler that facilitates the feature delivery.
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