What guideline is addressed when a method has many same-typed parameters in a row?

What guideline is addressed when a method has many same-typed parameters in a row?

• A. G1 Beware of lots of same-type values
• B. G2 Keep methods simple
• C. G3 Use consistent naming
• D. G4 Document effectively

Answer: (A)

The guideline that is addressed when a method has many same-typed parameters in a row is indeed focused on the concern of having numerous parameters of the same type. When a method signature contains many parameters of the same type, it can lead to confusion, as it becomes challenging for users of the API to distinguish between the parameters and their intended purposes. This guideline encourages developers to consider alternative approaches, such as grouping parameters into an object or structuring the method to accept a single parameter that represents a composite value. This not only enhances readability but also reduces the cognitive load on the developer, making the API easier to understand and use. By being aware of the potential pitfalls of using multiple same-typed parameters, developers can strive for clearer and more maintainable code, ultimately leading to better API design.

The guideline that is addressed when a method has many same-typed parameters in a row is indeed focused on the concern of having numerous parameters of the same type. When a method signature contains many parameters of the same type, it can lead to confusion, as it becomes challenging for users of the API to distinguish between the parameters and their intended purposes.

This guideline encourages developers to consider alternative approaches, such as grouping parameters into an object or structuring the method to accept a single parameter that represents a composite value. This not only enhances readability but also reduces the cognitive load on the developer, making the API easier to understand and use. By being aware of the potential pitfalls of using multiple same-typed parameters, developers can strive for clearer and more maintainable code, ultimately leading to better API design.