Software Quality Assurance Practice Exam 2025 – The All-in-One Guide to Mastering Your Certification!

The statement is not accurate because a bug model, particularly in the context of software quality assurance, typically involves analyzing historical data to predict defect rates or the number of bugs that may be discovered throughout the project lifecycle. It focuses on empirical evidence and observed patterns, rather than strictly planned activities.

In a bug model, factors such as the complexity of the code, the type of application, and historical defect rates from previous similar projects are considered to create predictions about potential defects. While planned activities, like testing phases and reviews, are important for managing bugs, the model itself relies more on statistical methods and data integrity than just activities defined ahead of time.

Thus, the statement oversimplifies the role of a bug model by implying it is solely based on planned activities, which is not the full picture of how bug predictions are established in software projects.