Web service crowdsourcing test task allocation method based on a heuristic algorithm

A heuristic algorithm and technology for testing tasks, applied in the field of data processing, can solve problems such as wages not considered, achieve the effects of improving quality, shortening solution time, and improving work efficiency

Active Publication Date: 2019-06-28
DALIAN MARITIME UNIVERSITY
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  • Claims
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Problems solved by technology

The ability and salary requirements of crowdsourcing testers are not considered

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  • Web service crowdsourcing test task allocation method based on a heuristic algorithm
  • Web service crowdsourcing test task allocation method based on a heuristic algorithm
  • Web service crowdsourcing test task allocation method based on a heuristic algorithm

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Embodiment Construction

[0035] In order to make the technical solutions and advantages of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0036] Such as figure 1 A heuristic algorithm-based Web service crowdsourcing test task assignment method shown specifically includes the following steps:

[0037] S1: The requester submits a series of crowdsourcing tasks that need to be processed to the crowdsourcing platform in the form of web service test tasks; the crowdsourcing platform is responsible for receiving the tasks and sending a series of crowdsourcing test tasks to the task allocation optimization algorithm for web Matching between service test tasks and test workers.

[0038] S2: Establish a task allocation model including at least test task attributes, test worker attributes, and allocation factors, and confirm the objecti...

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Abstract

The invention discloses a Web service crowdsourcing test task allocation method based on a heuristic algorithm. The Web service crowdsourcing test task allocation method comprises the following stepsthat S1, a requester submits a plurality of crowdsourcing work to a crowdsourcing platform in the form of a test task; S2, the task distribution optimization system establishes a task distribution model at least comprising test task attributes, test worker attributes and distribution factors, and confirms a target function and constraint conditions according to the task distribution model; S3, thetask allocation optimization system adopts an HE algorithm to perform optimal allocation between the test tasks and the test workers based on the task allocation model, issues the tasks according totask issuing conditions set by the crowdsourcing platform, and displays task information to the test workers; and S4, results are fed back to the crowdsourcing platform after the testing worker completes corresponding tasks, and completion results of the tasks are summarized and arranged by the crowdsourcing platform.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a heuristic algorithm-based method for assigning Web service crowdsourcing testing tasks. Background technique [0002] At present, with the application of web services more and more widely, people pay more and more attention to the quality of web services, and web service testing is an important means of quality assurance. Because traditional web service testing is performed by hired consultants and professionals, the results submitted are single and one-sided. At the same time, the number of professionals is small and the tasks are heavy, resulting in low efficiency of testing tasks. Crowdsourcing testing is an emerging testing method in recent years. It can use the testing capabilities and testing resources of the public to complete testing in a short period of time, and can feed back more comprehensive and real human testing results. Therefore, crowdsourcing testing ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F11/36
CPCY02T10/40
Inventor 陈荣张佳丽唐文君郑圣杰孔令宇李辉郭世凯
Owner DALIAN MARITIME UNIVERSITY
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