Crowdsourcing test report fusion method based on public and private information mining

A technology of private information and public information, applied in the field of data processing, can solve problems such as unclear meaning, lack of comprehensiveness, dimensional disaster, etc.

Pending Publication Date: 2021-09-07
NANJING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If only one of the modals is used, it will lack comprehensiveness; if all the modals are directly spliced, it will cause a disaster of dimensionality, and the meaning is not clear

Method used

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  • Crowdsourcing test report fusion method based on public and private information mining
  • Crowdsourcing test report fusion method based on public and private information mining
  • Crowdsourcing test report fusion method based on public and private information mining

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Embodiment Construction

[0045]Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0046] This invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0047] like figure 1 As shown, it is a schematic diagram of the overall flow of a crowdsourcing test report fusion method based on public and private information mining proposed by the present invention. The method specifically includes the following steps,

[0048] Step 1, perform feature mapping, each modality includes public information shared by all modality, and private information of the modality, and map the modality extracted in the original feature space into public vector and private vector of the same dimension;

[0049] Specifica...

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Abstract

A crowdsourcing test report fusion method based on public and private information mining comprises the steps that (1) feature mapping is carried out, each mode comprises public information shared by all modes and private information of the modes, and the modes extracted from an original feature space are mapped into public vectors and private vectors of the same dimension; (2) public information shared by all the modes included in different modes and private information of each mode are obtained; 3) modal relationship mining is carried out, and the obtained d-dimensional public information Ci and private information Sim are sequentially input into the LSTM for processing; and 4) label prediction is carried out, in multi-label learning, each mode has a specific contribution to multi-label prediction, and the relationship between labels is obtained by using the information of the different modes stored in an LSTM memory unit. According to the method, the low-dimensional common representation of all modes can be learned, the distinguishing information of each mode is extracted through forced orthogonal constraint, meanwhile, the common representation serves as a new mode to be added into a specific mode sequence, and label correlation mining based on the extracted mode sequence is achieved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a crowdsourcing test report fusion method based on public and private information mining. Background technique [0002] Software crowdtesting is a new type of software testing mode. Based on crowdsourcing technology, the testing tasks originally performed by professional testers in the company are distributed to the crowdtesting workers who are active on the crowdtesting platform through the crowdtesting platform. The crowdtesting work The tester gives feedback on the results by submitting a test report. With the rapid development of data collection technology, information sources or forms are diverse, so data has evolved from a traditional single mode to a multi-modal or multi-view form. Example: A test report can consist of text and images. If only one of the modalities is used, it will lack comprehensiveness; if all the modalities are directly spliced, it will cause ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08G06F111/04
CPCG06F30/27G06N3/08G06F2111/04G06N3/044
Inventor 王崇骏张怡陈明猜陈明远李宁
Owner NANJING UNIV
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