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Quantitative Processing Method of Entity Attributes Based on Transitive Incidence Matrix

A technology of entity attributes and processing methods, which is applied in software testing/debugging, complex mathematical operations, etc., can solve the problems of inaccurate description, failure to consider the influence of test attributes on transfer relations, unfavorable software testing efficiency and accuracy, etc., to achieve accurate description , Ensure reliability, improve efficiency and accuracy

Inactive Publication Date: 2016-08-17
GLARUN GRP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing entity attribute processing methods only consider the one-step correlation between each test attribute and the test attribute value of each level entity itself, and do not consider the influence transfer relationship of each test attribute in the test entity.
This defect leads to the fact that the entity test attribute vector obtained by the existing entity attribute processing method is still not accurate enough to describe the entity attribute value, which is not conducive to improving the efficiency and accuracy of software testing.

Method used

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  • Quantitative Processing Method of Entity Attributes Based on Transitive Incidence Matrix
  • Quantitative Processing Method of Entity Attributes Based on Transitive Incidence Matrix
  • Quantitative Processing Method of Entity Attributes Based on Transitive Incidence Matrix

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Embodiment

[0025] like figure 1 As shown, the present embodiment is based on the quantitative processing method of the entity attribute of the transitive association matrix, including the following steps:

[0026] The first step, system initialization: form the test attribute set e with each test attribute of the test entity, and form the test attribute vector w(e) with the test attribute values ​​of each test attribute n×1 =(w(e 1 ),w(e 2 ),...,w(e n )) T , n is the number of test attributes; set the test iteration threshold ξ at the same time; go to the second step;

[0027] The specific process is: set the test attribute set e=[e of the test entity 1 ,e 2 ,...,e n ], test attribute vector w(e) n×1 =(w(e 1 ),w(e 2 ),...,w(e n )) T , Test iteration threshold ξ, where n is the number of test attributes, that is, n=|e|, w(e 1 ),w(e 2 ),...,w(e n ) are the test attributes e 1 ,e 2 ,...,e n The test property value for ; go to step two.

[0028]The second step, constructin...

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Abstract

The invention relates to an entity attribute quantitating method based on transfer incidence matrices. The method includes 1, system initialization; 2, matrix construction; 3, matrix expansion; 4, iterative processing; 5, normalization processing. By the aid of the method, entity attribute values can be described accurately through acquired entity testing attribute, efficiency and accuracy of software testing can be improved, and reliability of software after testing can be guaranteed.

Description

technical field [0001] The invention relates to a method for quantitatively processing entity attributes based on a transferable correlation matrix, which can optimize and process test attribute value vectors of software test entities, and belongs to the technical field of software testing. Background technique [0002] As far as the applicant knows, in software testing technology, all test objects involved in the testing process are called test entities, and all parameters that can describe the characteristics of test entities are called test attributes. Among the test attributes of a test entity, those that can affect other test attributes through association relationships are called transitive test attributes, otherwise they are called non-transitive test attributes. According to the transfer relationship, the attribute or entity as the source of transfer is called the uplink node, and the attribute or entity as the transfer target is called the downlink node. The test a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/36G06F17/16
Inventor 雷万保罗学恩邵锡军程园
Owner GLARUN GRP