CN114138660A

CN114138660A - Defect processing method, device, equipment, computer readable storage medium and product

Info

Publication number: CN114138660A
Application number: CN202111489022.5A
Authority: CN
Inventors: 邹斯韬
Original assignee: China Construction Bank Corp
Current assignee: China Construction Bank Corp
Priority date: 2021-12-07
Filing date: 2021-12-07
Publication date: 2022-03-04

Abstract

The present disclosure provides a defect processing method, apparatus, device, computer readable storage medium and product, which are applied to the field of data processing, the method comprising: acquiring a to-be-identified request sent by terminal equipment, wherein the to-be-identified request comprises a to-be-identified defect and a defect identifier corresponding to the to-be-identified defect; according to the request to be identified, identifying the defect identification corresponding to the defect to be identified by adopting a preset defect classification model to obtain an identification result, wherein the identification result comprises the defect type corresponding to the defect to be identified; and sending the defect to be identified to a defect processing system corresponding to the defect type for fault repairing operation according to the identification result. By adopting the defect classification model to identify the types of the defects to be identified, the defect type identification and the allocation of operation and maintenance personnel can be prevented from being subjectively determined by testing personnel, and the identification and positioning accuracy is improved. In addition, operation and maintenance personnel do not need to be in butt joint with a plurality of testing personnel, and the defect processing efficiency is improved.

Description

Defect processing method, device, equipment, computer readable storage medium and product

Technical Field

The present disclosure relates to the field of data processing, and in particular, to a method, an apparatus, a device, a computer-readable storage medium, and a product for defect handling.

Background

In the work of defect management, project group operation and maintenance personnel need to simultaneously process the work of BUG positioning, BUG analysis, BUG solving, BUG feedback and the like in the docking process, so that the processing efficiency of the whole BUG is low.

The existing defect management method generally configures different defect testers aiming at different stages of a project, the defect testers manually position the defects, and the positioned defects are sent to the testers for repair.

However, when the above method is adopted, when the project execution period reaches the time when the integrated test in the software process and the user test in the software process need to be carried out simultaneously, when the same operation and maintenance personnel is in butt joint with a plurality of defect testers at the same time, various test defects are continuously provided for the operation and maintenance personnel, and thus the operation and maintenance personnel have no way to solve the problems provided by the testers in real time. In addition, the defect identification and assignment are completely performed by the tester according to experience, which may result in the defect identification and assignment being completely based on the subjective judgment of the tester, and the accuracy is not high.

Disclosure of Invention

The present disclosure provides a defect processing method, a defect processing apparatus, a defect processing device, a computer readable storage medium, and a computer readable storage medium, which are used to solve the technical problem that in the existing defect management method, one operation and maintenance person is simultaneously docked with a plurality of defect testers, and a defect cannot be repaired in time.

A first aspect of the present disclosure is to provide a defect processing method, including:

acquiring a to-be-identified request sent by terminal equipment, wherein the to-be-identified request comprises a to-be-identified defect and a defect identifier corresponding to the to-be-identified defect;

according to the request to be identified, identifying a defect identification corresponding to the defect to be identified by adopting a preset defect classification model to obtain an identification result, wherein the identification result comprises a defect type corresponding to the defect to be identified;

and sending the defect to be identified to a defect processing system corresponding to the defect type for fault repairing operation according to the identification result.

A second aspect of the present disclosure is to provide a defect processing apparatus, including:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a to-be-identified request sent by terminal equipment, and the to-be-identified request comprises a to-be-identified defect and a defect identifier corresponding to the to-be-identified defect;

the identification module is used for identifying the defect identification corresponding to the defect to be identified by adopting a preset defect classification model according to the request to be identified to obtain an identification result, and the identification result comprises a defect type corresponding to the defect to be identified;

and the sending module is used for sending the defect to be identified to a defect processing system corresponding to the defect type for fault repairing operation according to the identification result.

A third aspect of the present disclosure is to provide an electronic device, including: a memory, a processor;

a memory; a memory for storing the processor-executable instructions;

wherein the processor is configured to call program instructions in the memory to perform the defect handling method according to the first aspect.

A fourth aspect of the present disclosure is to provide a computer-readable storage medium having stored therein computer-executable instructions for implementing the defect handling method of the first aspect when executed by a processor.

A fifth aspect of the present disclosure is to provide a computer program product comprising a computer program which, when executed by a processor, implements the defect handling method according to the first aspect.

According to the defect processing method, the defect processing device, the defect processing equipment, the computer readable storage medium and the computer readable storage medium, when a defect processing request submitted by a tester is obtained, a preset defect classification model can be adopted, the defect type of the defect to be identified is identified according to the identifier of the defect to be identified, and the defect to be identified is sent to a defect processing system corresponding to the defect type for fault repairing operation. By adopting the defect classification model to identify the types of the defects to be identified, the defect type identification and the allocation of operation and maintenance personnel can be prevented from being subjectively determined by testing personnel, and the identification and positioning accuracy is improved. In addition, operation and maintenance personnel do not need to be in butt joint with a plurality of testing personnel, and the defect processing efficiency is improved.

Drawings

In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art according to the drawings.

FIG. 1 is a schematic diagram of a matching relationship of a conventional defect processing method;

FIG. 2 is a schematic diagram of a system architecture upon which the present disclosure is based;

fig. 3 is a schematic flowchart of a defect processing method according to an embodiment of the disclosure;

fig. 4 is a schematic flowchart of a defect processing method according to a second embodiment of the disclosure;

fig. 5 is a schematic structural diagram of a defect processing apparatus according to a third embodiment of the disclosure;

fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present disclosure.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments obtained based on the embodiments in the disclosure belong to the protection scope of the disclosure.

The noun explains:

BUG: a software bug, some problem in computer software or programs that destroys normal operating capability, an error, or a hidden functional bug.

And SIT: and (4) integrated test in the software process, wherein the tester is an outsourced company tester.

UAT: and (4) testing by a user in the software process, wherein the tester is a service person actually used.

In order to solve the above-mentioned technical problem that the defect cannot be repaired in time due to the fact that the same operation and maintenance person is in butt joint with a plurality of defect testers in the existing defect management method, the present disclosure provides a defect processing method, an apparatus, a device, a computer readable storage medium and a product.

It should be noted that the present disclosure provides a defect handling method, apparatus, device, computer readable storage medium and product, which can be applied in various scenes where defects are distributed.

Fig. 1 is a schematic diagram of a matching relationship of a conventional defect handling method, and as shown in fig. 1, a service operation and maintenance worker 11 may be respectively docked with an SIT service tester 12 and a UAT service tester 13. The identification and allocation of defects are completely operated by testers according to experience, so that the identification and allocation of defects are completely based on subjective judgment of the testers, and the accuracy is not high. In addition, when the execution period of the project reaches and the SIT and UAT tests need to be developed at the same time, the service operation and maintenance personnel 11 may receive the defects sent by a plurality of different testing personnel at the same time, so that the problem proposed by the testing personnel cannot be solved in real time.

In the process of solving the technical problem, the inventor finds, through research, that in order to improve accuracy of defect identification and allocation and prevent operation and maintenance personnel from having low defect processing efficiency due to simultaneous docking of a plurality of testing personnel, when a defect processing request submitted by the testing personnel is obtained, a preset defect classification model can be adopted, a defect type of the defect to be identified is identified according to an identifier of the defect to be identified, and the defect to be identified is sent to a defect processing system corresponding to the defect type for fault repairing operation. By isolating the defect contributors and the defect resolvers, the problem of low resolution efficiency due to multi-head docking of the defect resolvers is avoided.

Fig. 2 is a schematic diagram of a system architecture based on the present disclosure, and as shown in fig. 2, the system architecture based on the present disclosure at least includes: a terminal device 21, a server 22 and a defect processing system 23 corresponding to at least one defect type. Wherein, the server 22 is provided with a defect processing device, and the defect processing device can be written by using languages such as C/C + +, Java, Shell or Python; the terminal device 21 may be a desktop computer, a tablet computer, or the like.

Fig. 3 is a schematic flowchart of a defect processing method according to a first embodiment of the disclosure, as shown in fig. 3, the method includes:

step 301, a to-be-identified request sent by a terminal device is obtained, wherein the to-be-identified request includes a to-be-identified defect and a defect identifier corresponding to the to-be-identified defect.

The execution subject of the embodiment is a defect processing device, which can be coupled to a server, and the server is in communication connection with the terminal device, so as to be capable of performing information interaction with the terminal device.

In the present embodiment, in order to send the defect found by the tester to the operation and maintenance staff for repair operation, it is first necessary to implement the defect assignment operation. The defect management system is different from the existing scheme that one operation and maintenance worker corresponds to a plurality of testing workers, in order to improve the defect processing efficiency, defect management workers can be configured, all defects are collected and fed back by the defect management workers in a unified mode, the defect management workers are served by the workers who know the system in a comparative mode, the workers do not need to pay attention to the technical solution, and only need to position the problem. After the defects to be identified are collected, the defects to be identified can be identified and assigned by a defect handling device. Wherein, the operation and maintenance personnel can be developers of the application.

In order to realize the distribution operation of the defects to be identified, defect management personnel can number the defects according to the preset serial numbers corresponding to the defects, the serial numbers of the problems corresponding to the defects, the expected solution time and the like, obtain defect identifications corresponding to the defects to be identified, and form requests to be identified according to the defect identifications and the defects to be identified.

Wherein, the defect management personnel can realize the identification operation of the defects to be identified according to the table 1:

TABLE 1

Accordingly, the defect processing device can obtain a to-be-identified request, wherein the to-be-identified request comprises the to-be-identified defect and a defect identifier corresponding to the to-be-identified defect.

Step 302, according to the request to be identified, a preset defect classification model is adopted to identify a defect identifier corresponding to the defect to be identified, and an identification result is obtained, wherein the identification result comprises a defect type corresponding to the defect to be identified.

In this embodiment, in order to improve the accuracy of defect identification and classification, according to the to-be-identified request, the defect identifier corresponding to the to-be-identified defect may be input to a preset defect classification model for identification operation, so as to obtain an identification result, where the identification result includes a defect type corresponding to the to-be-identified defect.

Different defect types correspond to different defect processing systems, and different operation and maintenance personnel can carry out repair operation.

The defects are preliminarily screened in a mode of carrying out defect positioning by a tester and defect two-stage management by a defect classification model, so that the defect amount reaching the operation and maintenance personnel is greatly reduced, and the operation and maintenance personnel are concentrated in defect solution. Thereby improving the defect solving efficiency and reducing the communication cost.

And 303, sending the defect to be identified to a defect processing system corresponding to the defect type for fault repairing operation according to the identification result.

In this embodiment, since different defect types correspond to different defect processing systems, after determining the defect type corresponding to the defect to be identified, the defect to be identified may be sent to the defect processing system corresponding to the defect type for performing a fault repairing operation. Therefore, operation and maintenance personnel corresponding to the defect type can directly process the defect to be identified without butting a plurality of testing personnel, communication cost is reduced, and defect processing efficiency is improved.

Further, on the basis of the first embodiment, the defect identifier includes a defect description field corresponding to the defect to be identified, and step 302 includes:

identifying a target key field in the defect description field.

And inputting the target key field into a preset defect classification model for identification operation to obtain the identification result.

In this embodiment, the defect identifier may specifically include a defect description field corresponding to the defect to be identified, and the defect description field may be summarized and labeled by a tester according to experience. In order to improve the identification efficiency of the defect to be identified, the target key field in the defect description field in the defect to be identified may be input to a preset defect classification model for identification operation, so as to obtain the identification result.

Further, on the basis of the first embodiment, after the identifying the target key field in the defect description field, the method further includes:

and detecting whether the defect to be identified is matched with a preset service defect field or not according to the target key field.

And if so, sending the defect to be identified to terminal equipment of a service worker so that the service worker can process the defect to be identified.

And if not, inputting the target key field into a preset defect classification model for identification operation to obtain the identification result.

In this embodiment, the defects may be classified into service defects and non-service defects, where the two defects are repaired by different personnel, the service defects are generally repaired by service personnel, and the non-service defects are repaired by operation and maintenance personnel. Therefore, before the defect classification model is used to identify the defect to be identified, it is first determined whether the defect to be identified is a business defect. Specifically, whether the defect to be identified is matched with a preset service defect field or not can be detected according to the target key field. If the defects are matched with the service defects, the defects to be identified are represented as service defects, and the defects to be identified can be sent to terminal equipment of service personnel, so that the service personnel can process the defects to be identified. Otherwise, if the defects are not matched, the defects to be identified are represented as non-service defects, and the target key fields corresponding to the defects to be identified can be input into a preset defect classification model for identification operation to obtain the identification result.

Further, on the basis of the first embodiment, before the step 302, the method further includes:

acquiring a training data set, wherein the training data set comprises a plurality of target key fields and defect type marking information corresponding to each target key field.

And performing iterative training on a preset model to be trained by adopting the training data until the model to be trained is converged, and obtaining the defect classification model.

In this embodiment, in order to realize the classification and identification operation of the defect to be identified by using the defect classification model, a model training operation is first required. Specifically, a training data set may be obtained, where the training data set includes a plurality of target key fields and defect type labeling information corresponding to each target key field. And training a preset model to be trained by adopting the training data set, acquiring an output result of the model to be trained, calculating a loss value of the model to be trained according to the output result and the defect type marking information corresponding to each target key field, and adjusting parameters of the model to be trained according to the loss value. And repeating the steps to iteratively train the model to be trained until the loss value of the model to be trained does not change greatly any more, and converging the model to be trained to obtain the defect classification model.

Iterative training is carried out on the model to be trained by adopting the training data set, so that the trained defect classification model can accurately carry out classification and identification operation on the defect to be identified, and the efficiency and the precision of defect classification and identification are improved.

Further, on the basis of the first embodiment, after the step 303, the method further includes:

and acquiring a repair result fed back by the defect processing system corresponding to each defect type, wherein the repair result comprises an operation and maintenance personnel identifier for repairing the defect to be identified, a contact way, a tester identifier for providing the defect to be identified and a repair result.

And sending the repair result to a data server for storage.

In this embodiment, after the operation and maintenance personnel process the defect to be identified, the operation and maintenance personnel can feed back a repair result to the defect processing device, where the repair result includes an operation and maintenance personnel identifier for repairing the defect to be identified, a contact manner, a tester identifier for proposing the defect to be identified, and a repair result. Accordingly, the defect processing apparatus can obtain the repair result fed back by the defect processing system corresponding to each defect type. And storing the repair result to a preset data server for subsequent calling.

Further, the process of repairing and verifying the defect to be identified can be recorded according to table 2:

TABLE 2

Name of field	Field description	Belonging stage
			Has been allocated to	Determining objects of defect assignment	Defect repair
Has been circulated to	Determining objects for defect streaming	Defect repair
			Analyzing content	Determining analysis content of defects	Defect repair
Final analysis of content	Determining final analysis results of defects	Defect repair
			Date	Determining date of defect	Defect repair
Defect handling	Processing mode for determining defect	Defect regression verification
			Contact person	Determining defective contacts	Defect regression verification
Propose the people	Producer for determining defects	Defect regression verification
			Analysis results	Analysis results of filling defects	Defect regression verification

In the defect processing method provided by this embodiment, when a defect processing request submitted by a tester is obtained, a preset defect classification model may be used to identify the defect type of the defect to be identified according to the identifier of the defect to be identified, and the defect to be identified is sent to a defect processing system corresponding to the defect type to perform a fault repairing operation. By adopting the defect classification model to identify the types of the defects to be identified, the defect type identification and the allocation of operation and maintenance personnel can be prevented from being subjectively determined by testing personnel, and the identification and positioning accuracy is improved. In addition, operation and maintenance personnel do not need to be in butt joint with a plurality of testing personnel, and the defect processing efficiency is improved.

Fig. 4 is a schematic flowchart of a defect processing method provided in the second embodiment of the present disclosure, and on the basis of the first embodiment, as shown in fig. 4, after step 302, the method further includes:

step 401, obtaining the recognition result within a preset time interval.

And 402, calculating the occurrence frequency corresponding to each defect type according to the identification result.

In this embodiment, the data analysis operation may be further performed on the defects to be identified within the preset time interval. Specifically, an identification result within a preset time interval may be obtained, where the identification result includes a defect type corresponding to the defect to be identified. And calculating the occurrence frequency corresponding to each defect type according to the identification result in the preset time interval.

Further, on the basis of any of the above embodiments, after the step 402, the method further includes:

and determining the defect type with the occurrence frequency higher than a preset frequency threshold.

And extracting a defect description field corresponding to the defect type, and acquiring a repair strategy corresponding to the defect type.

And generating a defect processing list according to the defect description field and the repair strategy.

In this embodiment, in order to improve the efficiency of the operation and maintenance staff in processing the defects subsequently, a defect processing request may be generated according to the defects that occur at a high frequency and the corresponding repair strategies, so as to be referred by the operation and maintenance staff. And determining the defect type with the occurrence frequency higher than a preset frequency threshold. And extracting a defect description field corresponding to the defect type and obtaining a repair strategy corresponding to the defect type. And generating a defect processing list according to the defect description field and the repair strategy. Therefore, when the subsequent operation and maintenance personnel acquire the high-frequency defect to be identified, the corresponding repair strategy can be determined by directly referring to the defect processing list.

According to the defect processing method provided by the embodiment, faults to be identified which occur at high frequency are counted, and a defect processing list is correspondingly generated to be consulted by operation and maintenance personnel, so that the fault repairing efficiency can be effectively improved.

Fig. 5 is a schematic structural diagram of a defect processing apparatus according to a third embodiment of the disclosure, as shown in fig. 5, the apparatus includes: an acquisition module 51, a recognition module 52 and a transmission module 53. The acquiring module 51 is configured to acquire a to-be-identified request sent by a terminal device, where the to-be-identified request includes a to-be-identified defect and a defect identifier corresponding to the to-be-identified defect. And the identifying module 52 is configured to identify the defect identifier corresponding to the defect to be identified by using a preset defect classification model according to the request to be identified, so as to obtain an identification result, where the identification result includes a defect type corresponding to the defect to be identified. And the sending module 53 is configured to send the defect to be identified to a defect processing system corresponding to the defect type for performing a fault repairing operation according to the identification result.

Further, on the basis of the third embodiment, the identification module is configured to: identifying a target key field in the defect description field; and inputting the target key field into a preset defect classification model for identification operation to obtain the identification result.

Further, on the basis of any of the above embodiments, the identification module is configured to: the identification module is configured to: detecting whether the defect to be identified is matched with a preset service defect field or not according to the target key field; if so, sending the defect to be identified to terminal equipment of a service worker so that the service worker can process the defect to be identified; and if not, inputting the target key field into a preset defect classification model for identification operation to obtain the identification result.

Further, on the basis of any of the above embodiments, the apparatus: the system comprises a data set acquisition module, a data set acquisition module and a data processing module, wherein the data set acquisition module is used for acquiring a training data set, and the training data set comprises a plurality of target key fields and defect type marking information corresponding to each target key field; and the training module is used for carrying out iterative training on a preset model to be trained by adopting the training data until the model to be trained is converged to obtain the defect classification model.

Further, on the basis of any one of the above embodiments, the apparatus further includes: the acquisition module is also used for acquiring the identification result in a preset time interval; and the calculation module is used for calculating the occurrence frequency corresponding to each defect type according to the identification result.

Further, on the basis of any one of the above embodiments, the apparatus further includes: the determining module is used for determining the defect type with the occurrence frequency higher than a preset frequency threshold; the extraction module is used for extracting the defect description field corresponding to the defect type and acquiring the repair strategy corresponding to the defect type; and the generating module is used for generating a defect processing list according to the defect description field and the repair strategy.

Further, on the basis of any of the above embodiments, the apparatus further comprises: the acquisition module is further used for acquiring repair results fed back by the defect processing system corresponding to each defect type, wherein the repair results comprise operation and maintenance personnel identifiers for repairing the defects to be identified, contact ways, testing personnel identifiers for providing the defects to be identified and repair results; and the sending module is also used for sending the repair result to a data server for storage.

Yet another embodiment of the present disclosure further provides an electronic device, including: a memory, a processor;

a memory; a memory for storing the processor-executable instructions;

wherein the processor is configured to call the program instructions in the memory to execute the defect handling method according to any of the above embodiments.

Yet another embodiment of the present disclosure further provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the computer-readable storage medium is configured to implement the defect handling method according to any of the above embodiments.

Yet another embodiment of the present disclosure further provides a computer program product including a computer program, which when executed by a processor implements the defect handling method according to any of the above embodiments.

Fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present disclosure, and as shown in fig. 6, it illustrates a schematic structural diagram of an electronic device 600 suitable for implementing the fourth embodiment of the present disclosure, where the electronic device 600 may be a terminal device or a server. Among them, the terminal Device may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a Digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), a Portable Multimedia Player (PMP), a car terminal (e.g., car navigation terminal), etc., and a fixed terminal such as a Digital TV, a desktop computer, etc. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 6, the electronic device 600 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 601, which may perform various suitable actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the methods shown in the above embodiments.

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.

Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present disclosure, and not for limiting the same; while the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present disclosure.

Claims

1. A defect handling method, comprising:

2. The method according to claim 1, wherein the defect identifier includes a defect description field corresponding to the defect to be identified, and the identifying the defect identifier corresponding to the defect to be identified by using a preset defect classification model according to the request to be identified includes:

identifying a target key field in the defect description field;

3. The method of claim 2, wherein after identifying the target critical field in the defect description field, further comprising:

detecting whether the defect to be identified is matched with a preset service defect field or not according to the target key field;

if so, sending the defect to be identified to terminal equipment of a service worker so that the service worker can process the defect to be identified;

4. The method according to claim 2, wherein before identifying the defect identifier corresponding to the defect to be identified by using a preset defect classification model according to the request to be identified, the method further comprises:

acquiring a training data set, wherein the training data set comprises a plurality of target key fields and defect type marking information corresponding to each target key field;

5. The method according to any one of claims 1 to 4, wherein the identifying the defect identifier corresponding to the defect to be identified by using a preset defect classification model according to the request to be identified, and after obtaining the identification result, further comprises:

acquiring an identification result in a preset time interval;

and calculating the occurrence frequency corresponding to each defect type according to the identification result.

6. The method according to claim 5, wherein after calculating the occurrence frequency corresponding to each defect type according to the identification result, the method further comprises:

determining the defect type with the occurrence frequency higher than a preset frequency threshold;

extracting a defect description field corresponding to the defect type, and acquiring a repair strategy corresponding to the defect type;

7. The method according to any one of claims 1 to 4, wherein after sending the defect to be identified to a defect handling system corresponding to the defect type for fault repairing operation according to the identification result, the method further comprises:

acquiring a repair result fed back by a defect processing system corresponding to each defect type, wherein the repair result comprises an operation and maintenance personnel identifier for repairing the defect to be identified, a contact way, a tester identifier for providing the defect to be identified and a repair result;

and sending the repair result to a data server for storage.

8. A defect handling apparatus, comprising:

9. The apparatus of claim 8, wherein the identification module is configured to:

identifying a target key field in the defect description field;

10. The apparatus of claim 9, wherein the identification module is configured to:

11. The apparatus of claim 9, wherein the apparatus:

the system comprises a data set acquisition module, a data set acquisition module and a data processing module, wherein the data set acquisition module is used for acquiring a training data set, and the training data set comprises a plurality of target key fields and defect type marking information corresponding to each target key field;

and the training module is used for carrying out iterative training on a preset model to be trained by adopting the training data until the model to be trained is converged to obtain the defect classification model.

12. The apparatus according to any one of claims 8-11, further comprising:

the acquisition module is also used for acquiring the identification result in a preset time interval;

and the calculation module is used for calculating the occurrence frequency corresponding to each defect type according to the identification result.

13. The apparatus of claim 12, further comprising:

the determining module is used for determining the defect type with the occurrence frequency higher than a preset frequency threshold;

the extraction module is used for extracting the defect description field corresponding to the defect type and acquiring the repair strategy corresponding to the defect type;

and the generating module is used for generating a defect processing list according to the defect description field and the repair strategy.

14. The apparatus according to any one of claims 8-11, further comprising:

the acquisition module is further used for acquiring repair results fed back by the defect processing system corresponding to each defect type, wherein the repair results comprise operation and maintenance personnel identifiers for repairing the defects to be identified, contact ways, testing personnel identifiers for providing the defects to be identified and repair results;

and the sending module is also used for sending the repair result to a data server for storage.

15. An electronic device, comprising: a memory, a processor;

a memory; a memory for storing the processor-executable instructions;

wherein the processor is configured to call program instructions in the memory to perform the defect handling method of any of claims 1-9.

16. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, are configured to implement the defect handling method of any one of claims 1-7.

17. A computer program product, characterized in that it comprises a computer program which, when being executed by a processor, implements the defect handling method according to any one of claims 1-7.