Deep Integration of Health Information Service System and Data Mining Analysis Technology

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Five Attributes and Interpretation of Bug Report Constructing Classifier

Attribute types	Number	Attribute	Describe
Personnel attributes	A1	Solution personnel	Repair Bug Registrar
Bug Report and Solution Properties	A2	Bug priority	Priority level
	A3	Bug state	Current status of Bug reports
	A4	Modification instructions	Problem description
Code Modification Call Properties	A5	Notes	F1 → F3F1 → F3 → F4F1 → F2 → F4...

Discrete Processing of Characteristic Attributes

Quantization value Feature attribute	0	1	2
A1	Same person	Change to another	More than two persons
A2	commonly	main	serious
A3	Only once revised	Two revisions	More than two revisions
A4	Containing general errors or miswritings	Including variable or function errors	Containing class or function errors
A5	F1 → F3	F1 → F3, F1 → F2	F1 → F2 → F4

Training Set for Discrete Processing of Characteristic Attributes

Category Feature attribute	C1(0)	C2(1)
Attribute Value of A1 ~ A5	0, 0, 0, 0, 00, 1, 1, 0, 11, 0, 0, 1, 10, 1, 2, 1, 00, 2, 1, 0, 11, 1, 2, 2, 0	1, 2, 0, 1, 21, 1, 1, 2, 21, 1, 2, 2, 10, 2, 1, 2, 21, 0, 1, 2, 11, 1, 2, 1, 2

Classification accuracy of decision tree

Category	Sample size	Number of correct classifications	Accuracy rate
Defect	49	42	85.7%
Potential defects	11	7	63.6%
Total	60	49	81.7%

Source Code Entities – Numbers corresponding to sequence of function operations

Login ()	Show ()	Modify ()	Statistic ()	Add ()
F1	F2	F3	F4	F5