Final answer:
Error detection is product-oriented because it focuses on examining and validating the final product to identify and correct any errors. It involves systematic inspection and is often guided by experts' intuition about where problems may lie. The goal is to ensure the product meets quality standards and functional requirements.
Step-by-step explanation:
The statement 'Error detection tends to be product-oriented' is true. When we say that error detection is product-oriented, we imply that the focus is on examining and validating the final product to ensure that it meets the specified requirements and is free of defects. This process often involves a rigorous and systematic approach to inspecting the finished product, identifying any errors, and correcting them before the product is deployed or delivered.
Experts in software development and testing, for instance, often have a good sense of where errors might be present even before conducting a detailed analysis. This intuition is used to drive a more focused and thorough examination of the product, which can be especially valuable in complex systems where potential issues may not be immediately apparent.
Error detection methodologies, such as testing or code reviews, are typically applied after a product has reached a certain stage of development. This is in contrast to error prevention strategies, which are process-oriented and aim to reduce the likelihood of errors during the development process itself. In summary, error detection is indeed product-oriented as it is primarily concerned with ensuring that the final output adheres to quality standards and functional requirements.