Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input?

The correct answer is D. Using a classification model to predict the presence of a defect by using code quality metrics as. Option D specifies using a classification model to predict the presence of defects by using code quality metrics as input data. This accurately describes the process of defect prediction using historical bug data and quality metrics.

Testing, Debugging, and Deployment

Question

Options

AIdentifying the relationship between developers and the modules developed by them.
BSearch of similar code based on natural language processing.
CClustering of similar code modules to predict based on similarity.
DUsing a classification model to predict the presence of a defect by using code quality metrics as

How the community answered

(18 responses)

A
11% (2)
C
6% (1)
D
83% (15)

Explanation

Option D specifies using a classification model to predict the presence of defects by using code quality metrics as input data. This accurately describes the process of defect prediction using historical bug data and quality metrics.

Topics

#defect prediction#classification model#code quality metrics#ML for testing

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