The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 07, 2022

Filed:

Nov. 21, 2018
Applicant:

Beihang University, Beijing, CN;

Inventors:

Shunkun Yang, Beijing, CN;

Xiaodong Gou, Beijing, CN;

Daqing Li, Beijing, CN;

Wenjing Liu, Beijing, CN;

Tingting Huang, Beijing, CN;

Fuping Zeng, Beijing, CN;

Chong Bian, Beijing, CN;

Qi Yao, Beijing, CN;

Yushu Xie, Beijing, CN;

Assignee:

BEIHANG UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/36 (2006.01); G06N 3/12 (2006.01);
U.S. Cl.
CPC ...
G06F 11/3684 (2013.01); G06F 11/3688 (2013.01); G06N 3/126 (2013.01);
Abstract

A construction method of a test case constraint control technology based on epigenetics includes steps of: 1: defining a fitness function, a genetic coding method, and a constraint control rule; 2: initializing parameters: setting a population size, an evolution number, and a termination fitness function value; 3: initializing a population: randomly generating an initial population; 4: performing evolution termination judgment; 5. performing constraint regulation based on the epigenetics: performing constraint methylation and constraint acetylation according to the constraint control rule; 6: selecting individuals; 7: completing epigenetic evolution of the population; and 8: outputting a test case set; wherein through the above steps, construction of an epigenetic test case constraint control technology is completed, so as to design test cases that are more in line with the actual operation conditions of the software, find more potential software failures, and improve the quality of software testing.


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