CN115018383A - Task allocation method, device, equipment and storage medium - Google Patents

Task allocation method, device, equipment and storage medium Download PDF

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CN115018383A
CN115018383A CN202210893398.0A CN202210893398A CN115018383A CN 115018383 A CN115018383 A CN 115018383A CN 202210893398 A CN202210893398 A CN 202210893398A CN 115018383 A CN115018383 A CN 115018383A
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task
test
requirements
tasks
saturation
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梅丽
郝伟
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Spreadtrum Communications Shanghai Co Ltd
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Spreadtrum Communications Shanghai Co Ltd
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    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
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    • G06Q10/103—Workflow collaboration or project management
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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Abstract

The invention provides a task allocation method, which comprises the steps of calculating the human saturation of all testers, and then calculating the mean value of all the human saturations; calculating task execution priorities of all test tasks; and sequentially judging whether the existing equipment conditions meet the requirements of the test tasks according to the task execution priorities, and distributing the testers with the lowest manpower saturation and the average value lower than the average value to perform the test tasks after judging that the existing equipment conditions meet the requirements of the test tasks, so that the efficiency of distributing the test tasks is improved, and the test tasks can be timely completed. The invention also discloses a task allocation device, equipment and a storage medium.

Description

Task allocation method, device, equipment and storage medium
Technical Field
The present invention relates to the field of test technologies, and in particular, to a method, an apparatus, a device, and a storage medium for task allocation.
Background
The product testing task has the characteristics of large quantity of testing samples and multiple testing tasks, so that more testing personnel are required to be arranged for testing. The arrangement of the testing tasks and the manpower is currently performed by the manager of each project in a unified way. Generally, at least ten or more projects are accepted in each team, and a manager of each project only knows about the project managed by the manager, so that the information is not completely known. Therefore, when the number of test tasks is large, the number of test personnel is small, the phenomenon of unreasonable task allocation occurs, and the test tasks are allocated again under the condition of unreasonable allocation of some test tasks, so that the test task allocation efficiency is low.
Therefore, there is a need to provide a novel task allocation method, apparatus, device and storage medium to solve the above problems in the prior art.
Disclosure of Invention
The invention aims to provide a task allocation method, a device, equipment and a storage medium, which can improve the allocation efficiency of test tasks.
In order to achieve the above object, the task allocation method of the present invention includes:
calculating the human saturation of all testers, and then calculating the mean value of all human saturation;
calculating task execution priorities of all test tasks;
and sequentially judging whether the existing equipment conditions meet the requirements of the test tasks according to the task execution priority, and distributing the testers with the lowest manpower saturation and the average value lower than the average value to perform the test tasks after judging that the existing equipment conditions meet the requirements of the test tasks.
The task allocation method has the beneficial effects that: the method comprises the steps of calculating the human saturation of all testers, then calculating the mean value of all human saturation, calculating task execution priority of all test tasks, sequentially judging whether the existing equipment conditions meet the requirements of the test tasks according to the task execution priority, and after judging that the existing equipment conditions meet the requirements of the test tasks, distributing the testers with the lowest human saturation and lower than the mean value to carry out the test tasks, so that the efficiency of distributing the test tasks is improved, and the test tasks can be guaranteed to be completed in time.
Optionally, the calculating the human saturation of all the testers includes:
and acquiring tester information and weight data of the tester information to perform linear weighting calculation so as to obtain the human saturation, wherein the tester information comprises at least one of the number of tasks to be tested, the processing time, the number of errors to be processed and the test experience.
Optionally, the calculating the task execution priority of all the test tasks includes:
and acquiring a test task requirement of each test task and weight data required by the test task to perform linear weighted calculation so as to obtain a task execution priority, wherein the test task requirement comprises at least one of the task priority, the task completion remaining time, the task execution difficulty level and the time required for task completion.
Optionally, the sequentially determining whether the existing device condition meets the requirement of the test task according to the task execution priority includes:
acquiring the test equipment requirement of each test task, wherein the test equipment requirement comprises at least one of the required number of model machines, the required number of test model machines with cameras and the required number of test model machines with user identification cards;
acquiring existing equipment conditions, wherein the existing equipment conditions comprise at least one of the total number of model machines, the number of test model machines with cameras and the number of test model machines with user identification cards;
and comparing the requirements of the test equipment with the conditions of the existing equipment in sequence according to the task execution priority so as to judge whether the conditions of the existing equipment meet the requirements of the test task.
Optionally, before performing the calculation of the human saturation of all the testers, the method further includes:
and configuring the tester information of all testers, wherein the tester information comprises at least one of the number of tasks to be tested, the processing time, the number of errors to be processed and the test experience.
Optionally, before performing the calculation of the human saturation of all the testers, the method further includes:
and configuring the weight data of the tester information.
Optionally, before the calculating the task execution priority of all the test tasks, the method further includes:
and configuring the test equipment requirements and the test task requirements of the test tasks, wherein the test equipment requirements comprise at least one of the number of model machine requirements, the number of camera test model machine requirements and the number of user identification card test model machine requirements, and the test task requirements comprise at least one of task priority, task completion remaining time, task execution difficulty level and task completion time.
Optionally, before the calculating the task execution priority of all the test tasks, the method further includes:
and configuring the weight data required by the test task.
The invention also discloses a task allocation device, which comprises:
the first calculation unit is used for calculating the human saturation of all testers and then calculating the mean value of all the human saturation;
the second calculation unit is used for calculating task execution priorities of all the test tasks;
and the distribution unit is used for sequentially judging whether the existing equipment conditions meet the requirements of the test tasks according to the task execution priority, and distributing the testers with the lowest manpower saturation and lower than the average value to perform the test tasks after judging that the existing equipment conditions meet the requirements of the test tasks.
The task allocation device has the advantages that: the first calculating unit calculates the manpower saturation of all testers, then calculates the mean value of all the manpower saturation, the second calculating unit calculates the task execution priority of all the test tasks, the distribution unit judges whether the existing equipment conditions meet the requirements of the test tasks in sequence according to the task execution priority, and after the existing equipment conditions meet the requirements of the test tasks, the testers with the lowest manpower saturation and lower than the mean value are distributed to carry out the test tasks, so that the distribution efficiency of the test tasks is improved, and the test tasks can be ensured to be completed in a timing mode.
The invention also discloses a task allocation device, which comprises a memory and a processor, wherein the memory is used for storing the computer program, and the processor is used for executing the computer program stored in the memory so as to enable the task allocation device to execute the task allocation method.
The invention also discloses a computer readable storage medium, which stores a computer program, characterized in that the computer program realizes the task allocation method when being executed by a processor.
Drawings
FIG. 1 is a flow diagram of a task allocation method in some embodiments of the invention;
FIG. 2 is a flow chart of calculating human saturation in some embodiments of the present invention;
FIG. 3 is a flow diagram of computing task execution priority in some embodiments of the invention;
FIG. 4 is a block diagram of a task assignment device according to some embodiments of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. As used herein, the word "comprising" and similar words are intended to mean that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items.
Aiming at the problems in the prior art, the embodiment of the invention provides a task allocation method. Referring to fig. 1, the task allocation method includes the steps of:
s1: calculating the human saturation of all testers, and then calculating the mean value of all human saturation;
s2: calculating task execution priorities of all test tasks;
s3: and sequentially judging whether the existing equipment conditions meet the requirements of the test tasks according to the task execution priority, and distributing the testers with the lowest manpower saturation and the average value lower than the average value to perform the test tasks after judging that the existing equipment conditions meet the requirements of the test tasks.
In some embodiments, before performing the calculation of the human saturation of all the testers, the method further includes: and configuring tester information of all testers and weight data of the tester information, wherein the tester information comprises at least one of the number of tasks to be tested, processing time, the number of errors to be processed and test experience.
In some embodiments, before the task execution priority of executing all the test tasks, the method further includes: and configuring test equipment requirements, test task requirements and weight data of the test task requirements of the test task, wherein the test equipment requirements comprise at least one of the number of model machine requirements, the number of model machine requirements with a camera for testing and the number of model machine requirements with a user identification card for testing, and the test task requirements comprise at least one of task priority, task completion remaining time, task execution difficulty level and task completion required time.
In some embodiments, the calculating the human saturation of all testers comprises: and acquiring tester information and weight data of the tester information to perform linear weighting calculation so as to obtain the human saturation, wherein the tester information comprises at least one of the number of tasks to be tested, the processing time, the number of errors to be processed and the test experience.
FIG. 2 is a flow chart of calculating human saturation in some embodiments of the present invention. Referring to fig. 2, the project testing resource pool includes a plurality of testing projects, each testing project includes a plurality of testing tasks, each testing task has an attribute of a testing task requirement, the testing task requirement includes a task priority, a task completion remaining time, a task execution difficulty level, and a task completion required time, and the task execution priority is calculated according to the task priority, the task completion remaining time, the task execution difficulty level, the task completion required time, and corresponding weight data.
In some embodiments, the calculating task execution priorities of all test tasks includes: and acquiring a test task requirement of each test task and weight data required by the test task to perform linear weighted calculation so as to obtain a task execution priority, wherein the test task requirement comprises at least one of the task priority, the task completion remaining time, the task execution difficulty level and the time required for task completion.
FIG. 3 is a flow diagram of computing task execution priority in some embodiments of the invention. Referring to fig. 3, the human resource pool is included in the figure, the human resource pool includes a plurality of testers, each tester has tester information, the tester information includes the number of tasks to be tested, the processing time, the number of errors to be processed, and the testing experience, the human saturation is calculated according to the number of tasks to be tested, the processing time, the number of errors to be processed, the testing experience, and the corresponding weight data, the human saturation of the testers forms a human saturation list, and the testers with the lowest human saturation and lower than the average value are allocated to perform the testing tasks.
In some embodiments, the sequentially determining whether the existing device condition meets the requirement of the test task according to the task execution priority includes:
acquiring the test equipment requirement of each test task, wherein the test equipment requirement comprises at least one of the required number of model machines, the required number of test model machines with cameras and the required number of test model machines with user identification cards;
acquiring existing equipment conditions, wherein the existing equipment conditions comprise at least one of the total number of model machines, the number of test model machines with cameras and the number of test model machines with user identification cards;
and comparing the requirements of the test equipment with the conditions of the existing equipment in sequence according to the task execution priority so as to judge whether the conditions of the existing equipment meet the requirements of the test task.
In some embodiments, the task allocation method includes the following steps:
s11: configuring the existing equipment conditions, wherein the existing equipment conditions comprise the total number of model machines, the number of test model machines with cameras and the number of test model machines with user identification cards;
s12: configuring test equipment requirements, test task requirements and weight data of the test task requirements of all the test tasks, wherein the test equipment requirements comprise the number of model machine requirements, the number of camera test model machine requirements and the number of user identification card test model machine requirements, and the test task requirements comprise task priority, task completion remaining time, task execution difficulty level and task completion required time; configuring tester information of all testers and weight data of the tester information;
s13: acquiring task priorities, task completion remaining time, task execution difficulty levels, time required for task completion, weight data of the task priorities, weight data of the task completion remaining time and weight data of the time required for task completion of all the test tasks, and then performing linear weighting calculation on the task priorities, the task completion remaining time, the task execution difficulty levels, the time required for task completion, the weight data of the task priorities, the weight data of the task completion remaining time and the weight data of the time required for task completion of each test task to obtain the task execution priorities of all the test tasks;
s14: acquiring the total number of prototype machines, comparing the required number of the prototype machines of the test task with the highest task execution priority with the total number of the prototype machines, if the total number of the prototype machines is greater than or equal to the required total number of the prototype machines, executing the step S15, if the total number of the prototype machines is less than the required total number of the prototype machines, replacing the test task according to the task execution priority, and then executing the step S14;
s15: judging whether a camera test is needed, if so, executing a step S16, and if not, executing a step S17;
s16: acquiring the number of the camera-equipped test prototypes and the required number of the camera-equipped test prototypes, comparing the number of the camera-equipped test prototypes with the required number of the camera-equipped test prototypes, executing a step S17 if the number of the camera-equipped test prototypes is greater than or equal to the required number of the camera-equipped test prototypes, and replacing the test tasks according to the task execution priority if the number of the camera-equipped test prototypes is less than the required number of the camera-equipped test prototypes, and then executing a step S14;
s17: judging whether a user identification card test is needed, if so, executing a step S18, and if not, executing a step S19;
s18: acquiring the number of the test prototypes with the user identification cards and the required number of the test prototypes with the user identification cards, executing a step S19 if the number of the test prototypes with the user identification cards is greater than or equal to the required number of the test prototypes with the user identification cards, and replacing the test tasks according to the task execution priority and then executing a step S14 if the number of the test prototypes with the user identification cards is less than the required number of the test prototypes with the user identification cards;
s19: and distributing the testers with lowest human saturation and lower than the average value to perform the test tasks.
FIG. 4 is a block diagram of a task assignment device according to some embodiments of the invention. Referring to fig. 4, the task assigning apparatus 100 includes a first calculating unit 101, a second calculating unit 102, and an assigning unit 103. The first calculating unit 101 is used for calculating the human saturation of all testers and then calculating the mean value of all the human saturation; the second calculating unit 102 is configured to calculate task execution priorities of all test tasks; the allocation unit 103 sequentially judges whether the existing equipment conditions meet the requirements of the test tasks according to the task execution priorities, and allocates the testers with the lowest manpower saturation and the average value lower than the average value to perform the test tasks after judging that the existing equipment conditions meet the requirements of the test tasks.
In some embodiments, the first calculating unit is configured to obtain tester information and weight data of the tester information to perform linear weighting calculation to obtain the human saturation, where the tester information includes at least one of a number of tasks to be tested, a processing time, a number of errors to be processed, and a testing experience.
In some specific embodiments, the second computing unit is configured to obtain a test task requirement of each test task and weight data of the test task requirement, and perform linear weighting computation to obtain a task execution priority, where the test task requirement includes at least one of a task priority, a task completion remaining time, a task execution difficulty level, and a time required for task completion.
In some embodiments, the allocation unit is configured to obtain a test device requirement for each test task, where the test device requirement includes at least one of a prototype requirement number, a prototype requirement number with a camera for testing, and a prototype requirement number with a subscriber identity card for testing; acquiring existing equipment conditions, wherein the existing equipment conditions comprise at least one of the total number of prototypes, the number of test prototypes with cameras and the number of test prototypes with user identification cards; and comparing the requirements of the test equipment with the conditions of the existing equipment in sequence according to the task execution priority so as to judge whether the conditions of the existing equipment meet the requirements of the test task.
In some embodiments, the task assigning device further includes a tester information configuring unit, a test task information configuring unit, a first weight configuring unit, and a second weight configuring unit. The tester information configuration unit is used for configuring tester information of all testers, and the tester information comprises at least one of the number of tasks to be tested, processing time, the number of errors to be processed and test experience; the first weight configuration unit is used for configuring weight data of the tester information; the test task information configuration unit is used for configuring test equipment requirements and test task requirements of the test tasks, the test equipment requirements comprise at least one of the number of model machine requirements, the number of model machine requirements with a camera for testing and the number of model machine requirements with a user identification card for testing, and the test task requirements comprise at least one of task priority, task completion remaining time, task execution difficulty level and task completion required time; the second weight configuration unit is used for configuring the weight data required by the test task.
It should be noted that the division of the modules of the above apparatus is only a logical division, and all or part of the actual implementation may be integrated into one physical entity or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the selection module may be a processing element that is set up separately, or may be implemented by being integrated in a chip of the system, or may be stored in a memory of the system in the form of program code, and the function of the module may be called and executed by a processing element of the system. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element here may be an integrated circuit with signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a System-On-a-Chip (SOC).
The invention also discloses a task allocation device, which comprises a memory and a processor, wherein the memory is used for storing the computer program, and the processor is used for executing the computer program stored in the memory so as to enable the task allocation device to execute the task allocation method.
The invention also discloses a computer readable storage medium, which stores a computer program, characterized in that the computer program realizes the task allocation method when being executed by a processor.
The storage medium of the invention has stored thereon a computer program which, when being executed by a processor, carries out the above-mentioned method. The storage medium includes: various media capable of storing program codes, such as Read-only Memory (ROM), Random Access Memory (RAM), magnetic disk, usb disk, Memory card, or optical disk.
In another embodiment of the disclosure, the present invention further provides a chip system, which is coupled to the memory and configured to read and execute the program instructions stored in the memory to perform the steps of the task allocation method.
Through the description of the foregoing embodiments, it will be clear to those skilled in the art that, for convenience and simplicity of description, only the division of the functional modules is illustrated, and in practical applications, the above function distribution may be completed by different functional modules as needed, that is, the internal structure of the apparatus may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
Each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or make a contribution to the prior art, or all or part of the technical solutions may be implemented in the form of a software product stored in a storage medium and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: flash memory, removable hard drive, read only memory, random access memory, magnetic or optical disk, and the like.
The above description is only a specific implementation of the embodiments of the present application, but the scope of the embodiments of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the embodiments of the present application should be covered by the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.
Although the embodiments of the present invention have been described in detail hereinabove, it is apparent to those skilled in the art that various modifications and variations can be made to the embodiments. However, it is to be understood that such modifications and variations fall within the scope and spirit of the present invention as set forth in the following claims. Moreover, the invention as described herein is capable of other embodiments and of being practiced or of being carried out in various ways.

Claims (11)

1. A task allocation method, comprising:
calculating the human saturation of all testers, and then calculating the mean value of all human saturation;
calculating task execution priorities of all test tasks;
and sequentially judging whether the existing equipment conditions meet the requirements of the test tasks according to the task execution priority, and distributing the testers with the lowest manpower saturation and the average value lower than the average value to perform the test tasks after judging that the existing equipment conditions meet the requirements of the test tasks.
2. The task assignment method of claim 1, wherein the calculating human saturation of all testers comprises:
the method comprises the steps of obtaining tester information and weight data of the tester information to carry out linear weighting calculation to obtain the manpower saturation, wherein the tester information comprises at least one of the number of tasks to be tested, processing time, the number of errors to be processed and testing experience.
3. The task allocation method according to claim 1, wherein the calculating task execution priorities of all test tasks comprises:
and acquiring the test task requirement of each test task and the weight data of the test task requirement to perform linear weighted calculation so as to obtain a task execution priority, wherein the test task requirement comprises at least one of the task priority, the task completion remaining time, the task execution difficulty level and the task completion required time.
4. The task allocation method according to claim 1, wherein the sequentially determining whether the existing device conditions meet the requirements of the test task according to the task execution priority comprises:
acquiring the test equipment requirement of each test task, wherein the test equipment requirement comprises at least one of the required number of model machines, the required number of test model machines with cameras and the required number of test model machines with user identification cards;
acquiring existing equipment conditions, wherein the existing equipment conditions comprise at least one of the total number of model machines, the number of test model machines with cameras and the number of test model machines with user identification cards;
and comparing the requirements of the test equipment with the conditions of the existing equipment in sequence according to the task execution priority so as to judge whether the conditions of the existing equipment meet the requirements of the test task.
5. The task assignment method of claim 1, wherein before performing the calculation of the human saturation of all the testers, further comprising:
and configuring the tester information of all testers, wherein the tester information comprises at least one of the number of tasks to be tested, the processing time, the number of errors to be processed and the test experience.
6. The task assignment method of claim 5, wherein before performing the calculation of the human saturation of all the testers, further comprising:
and configuring the weight data of the tester information.
7. The task allocation method according to claim 1, wherein before the calculating the task execution priority of all the test tasks, the method further comprises:
and configuring the test equipment requirements and the test task requirements of the test tasks, wherein the test equipment requirements comprise at least one of the number of model machine requirements, the number of camera test model machine requirements and the number of user identification card test model machine requirements, and the test task requirements comprise at least one of task priority, task completion remaining time, task execution difficulty level and task completion time.
8. The task allocation method according to claim 7, wherein before the calculating the task execution priority of all the test tasks, the method further comprises:
and configuring the weight data required by the test task.
9. A task assigning apparatus, characterized in that the task assigning apparatus comprises:
the first calculation unit is used for calculating the human saturation of all testers and then calculating the mean value of all the human saturation;
the second calculation unit is used for calculating task execution priorities of all the test tasks;
and the distribution unit is used for sequentially judging whether the existing equipment conditions meet the requirements of the test tasks according to the task execution priority, and distributing the testers with the lowest manpower saturation and lower than the average value to perform the test tasks after judging that the existing equipment conditions meet the requirements of the test tasks.
10. A task allocation device, characterized in that the task allocation device comprises a memory for storing a computer program and a processor for executing the computer program stored in the memory, so that the task allocation device executes the task allocation method according to any one of claims 1 to 8.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of task assignment according to any one of claims 1 to 8.
CN202210893398.0A 2022-07-27 2022-07-27 Task allocation method, device, equipment and storage medium Pending CN115018383A (en)

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* Cited by examiner, † Cited by third party
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CN116187715A (en) * 2023-04-19 2023-05-30 巴斯夫一体化基地(广东)有限公司 Method and device for scheduling execution of test tasks

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116187715A (en) * 2023-04-19 2023-05-30 巴斯夫一体化基地(广东)有限公司 Method and device for scheduling execution of test tasks
CN116187715B (en) * 2023-04-19 2023-07-21 巴斯夫一体化基地(广东)有限公司 Method and device for scheduling execution of test tasks

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