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User-oriented big data personalized recommendation system metamorphic test method

A recommendation system and metamorphic testing technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as invisible source files, difficult source code testing, etc., to solve follow-up user feedback and improvement Effect

Inactive Publication Date: 2018-03-16
HOHAI UNIV
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Problems solved by technology

[0006] 2) Under normal circumstances, the source files are not visible, and it is difficult to test based on the source code;

Method used

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  • User-oriented big data personalized recommendation system metamorphic test method

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Embodiment Construction

[0025] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0026] The transformation testing method in the present invention comprises the main steps of transformation testing: 1) generate original test cases for the program to be tested; 2) if these original use cases pass the test, then construct a set of transformation relations for the program to be tested; 3) based on the original Test cases and metamorphic relations generate derived test cases; 4) Check whether the output of the original and derived test cases satisfies the corresponding metamorphic ...

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Abstract

The invention discloses a user-oriented big data personalized recommendation system metamorphic test method. According to the method, first, a big data personalized recommendation system is divided according to functional modules; next, the functional modules are analyzed, functional test points are formed, and a metamorphic relation is constructed based on the test points; derivative test cases are generated according to original input of the functional test points and the metamorphic relation; and a test result of the derivative test cases and an original result are compared to see whether the metamorphic relation is met. Through the method, an Oracle problem can be well solved, and the specific demand of a user is met.

Description

technical field [0001] The invention relates to a user-oriented big data personalized recommendation system metamorphosis test method, which is a test method for solving the problem of testing Oracle, and determines the metamorphosis relationship by analyzing the functions of the big data personalized recommendation system for metamorphosis testing, which belongs to software testing field. Background technique [0002] With the rapid development of the Internet and e-commerce, big data applications are becoming more and more active in life. Big data application system (referred to as big data application) refers to a software system that collects, processes, analyzes or predicts a large amount of data through different platforms, tools and mechanisms. Because of the wide application of big data applications, the quality of big data applications is particularly important. Generally speaking, the testing of big data applications is a very important part in the development cy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06F17/30
CPCG06Q30/0631G06F16/9535
Inventor 张鹏程周学武熊芳程坤金惠颖赵齐贾旸旸
Owner HOHAI UNIV
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