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Recommendation method for improving Top-k crowdsourcing test platform tasks

A technology for testing tasks and tasks, applied in software testing/debugging, error detection/correction, instruments, etc., can solve problems such as recommendation

Inactive Publication Date: 2018-11-13
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In order to overcome the deficiencies of the prior art, the present invention provides a Top-K improved model ETK model based on personnel evaluation and a task personnel recommendation algorithm based on this model, which effectively solves the problem of task personnel recommendation in the current crowdsourcing testing community

Method used

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  • Recommendation method for improving Top-k crowdsourcing test platform tasks
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  • Recommendation method for improving Top-k crowdsourcing test platform tasks

Examples

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Embodiment Construction

[0163] The present invention will be further described below in conjunction with the drawings and embodiments.

[0164] Step 1. Define the indicators for the tester’s portrait modeling. There are two main types of portrait indicators. One is the descriptive portrait index, which is used for preliminary matching with the test task as a correction parameter for the tester’s matching; It is the ICTA evaluation index, which is used to calculate the tester's testing ability and match the target tester with high accuracy;

[0165] The descriptive portrait index of the tester includes age, region, professional skills, test experience, basic information of test equipment, device software description, test network environment, good at mobile application field, best number of simultaneous tasks and test results, specific indicators It is defined as follows:

[0166] Table 1 Age indicators

[0167]

[0168] Table 2 Regional indicators

[0169]

[0170] Some mobile applications require testers to...

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Abstract

The invention provides a recommendation method for improving Top-k crowdsourcing test platform tasks, and relates to the field of software test. The method comprises the following steps of: constructing an index model of testers through indexes for carrying out portrait modeling on the testers; constructing a judging matrix to carry out consistency inspection; and generating a recommendation listthrough calculating a relative weight of each layer and personnel evaluation data structure matching and scoring. According to the method, the platform availability and long-term development can be greatly enhanced; crowdsourcing testers can be matched to proper test tasks conducive to level improvement, so that the enthusiasm for learning test businesses can be improved; and high-quality test results can be obtained. Meanwhile, the demand for processing abnormal and complex scenes by mobile application crowdsourcing test platforms is solved.

Description

Technical field [0001] The invention relates to the field of software testing, and is an intelligent recommendation method using test platform tasks. Background technique [0002] The competition in the mobile application market is becoming increasingly fierce. High-cost, complex, and time-consuming mobile application quality assurance and test verification have become one of the key bottlenecks restricting its rapid development. Mobile application testing is facing great challenges and difficulties. The mobile application crowdsourcing testing platform uses the Internet to outsource testing tasks to a group of online users or test engineers, providing a new, high-efficiency, scalable, and low-cost Test the solution. Promote the development and application of mobile cloud crowdsourcing testing technology, assist my country's "Internet +" development strategy, and serve "people's entrepreneurship and mass innovation", which has a good application promotion prospect. [0003] The T...

Claims

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Application Information

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IPC IPC(8): G06F11/36G06Q10/06
CPCG06F11/3692G06Q10/06311G06Q10/06393
Inventor 张涛帅正义张静波
Owner NORTHWESTERN POLYTECHNICAL UNIV
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