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Bug Seeding Patterns Discard Criteria Quiz

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Bug Seeding Patterns Discard Criteria Quiz

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Questions and Answers

What is the purpose of the matching threshold $m$ in Algorithm 1 of SemSeed?

It determines the maximum allowed similarity between the seeding location and the bug-to-imitate.

It determines the number of bug seeding patterns that will be applied.

It determines the minimum required similarity between the seeding location and the bug-to-imitate. (correct)

It has no impact on the bug seeding process.

What is the key difference between a semantics-aware and a semantics-unaware variant of SemSeed?

The semantics-unaware variant does not handle unbound tokens. (correct)

The semantics-aware variant uses a different matching threshold $m.

The semantics-aware variant creates more bug seeding patterns.

The semantics-unaware variant reproduces more of the target bugs.

What does the blue curve in Figure 3 represent?

The percentage of seeded bugs out of all bugs that a purely syntactic variant of SemSeed creates. (correct)

The percentage of seeded bugs out of all bugs that a variant of SemSeed with a matching threshold of 1 creates.

The percentage of seeded bugs out of all bugs that the semantics-unaware SemSeed creates.

The percentage of seeded bugs out of all bugs that the semantics-aware SemSeed creates.

What is the key application of SemSeed explored in the text?

Generating training data for learning-based bug detection. Signup and view all the answers

What percentage of bug seeding patterns are missed when unbound tokens are not handled?

62% Signup and view all the answers

What is the main purpose of the SemSeed approach described in the text?

To create realistic bug seeding patterns for training and evaluation. Signup and view all the answers

What is the key difference between a matching threshold of 0 and a matching threshold of 1 in SemSeed?

A threshold of 0 means the seeding location need not be similar to the bug-to-imitate, while a threshold of 1 requires perfect similarity. Signup and view all the answers

What is the key advantage of the semantics-aware variant of SemSeed over the semantics-unaware variant?

The semantics-aware variant does not miss any bug seeding patterns due to unbound tokens. Signup and view all the answers

How does the matching threshold $m$ influence the bugs that SemSeed creates, according to Figure 3?

A higher matching threshold $m$ results in a higher percentage of seeded bugs out of all bugs. Signup and view all the answers

What is the key difference between the SemSeed approach and the DeepBugs approach mentioned in the text?

SemSeed is used to evaluate the usefulness of semantic bug seeding, while DeepBugs is used to build the learning-based bug detection model. Signup and view all the answers