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Multi-path recall recommendation method for crowdsourcing software testing

A technology for software testing and recommendation methods, applied in the computer field, which can solve the problems of large system burden, high complexity, and large consumption of computing resources.

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

AI Technical Summary

Problems solved by technology

Traditional recommendation systems and in-depth recommendation systems require high complexity and consume a large amount of computing resources in the recommendation process. For large amounts of data, the system bears a large burden

Method used

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  • Multi-path recall recommendation method for crowdsourcing software testing
  • Multi-path recall recommendation method for crowdsourcing software testing
  • Multi-path recall recommendation method for crowdsourcing software testing

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Embodiment Construction

[0030] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0031] 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.

[0032] Crowdtesting platform is a software testing task platform that contains a large amount of data, which has the problem of data overload. Such as figure 1 As shown, it is a schematic diagram of the overall flow of a multi-channel recall recommendation method for crowdsourcing software testing proposed by the present invention. The method specifically includes the following steps,

[0033] S1, perform data collection, and obtain a data set for multi-channel recall, the data set includes user information, user social information, project...

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Abstract

A multi-path recall recommendation method for crowdsourcing software testing comprises the steps: S1, conducting data collection, and obtaining a data set for multi-path recall, wherein the data set comprises user information, user social information, project information, project text description and user historical project completion conditions; S2, preprocessing the data, and calculating an input number for a multi-path recall model; S3, performing project multi-path recall, finding similar users of a target user by calculating user similarity, and finding historical completion projects of the target user and the similar users through a user-project interaction matrix; S4, performing user multi-path recall, finding similar items of a target item by calculating the item similarity and the item text embedding similarity, finding users completing the target item and the similar items through a user-item interaction matrix, and finding similar users of the users by calculating the user similarity and a user relation matrix. Thus, multi-path recall of crowdsourcing test users is completed.

Description

technical field [0001] The invention relates to the technical field of computer technology, in particular to a multi-channel recall recommendation method for crowdsourcing software testing. Background technique [0002] In the task recommendation of crowdsourcing software testing, crowd testing task recommendation has attracted attention due to the variety and complexity of task categories, and it is difficult for crowd testers to obtain suitable tasks. Traditional recommendation systems and in-depth recommendation systems require high complexity and consume a large amount of computing resources in the recommendation process. For large amounts of data, the system bears a large burden. Therefore, how to solve the problem of information overload is a problem that needs to be studied emphatically. [0003] Under the condition of a relatively large amount of data, facing a large amount of task data and personnel information, how to quickly and accurately recommend a wide variet...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/335G06F16/9535G06F40/194G06Q10/06G06Q10/10G06Q50/00
CPCG06F16/335G06F16/9535G06F40/194G06Q10/06393G06Q10/103G06Q50/01Y02D10/00
Inventor 王崇骏张锐汀何强强陈英豪资帅
Owner NANJING UNIV
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