WO2019071929A1

WO2019071929A1 - Unit testing code coverage (cc) generation method and apparatus, readable storage medium, and device

Info

Publication number: WO2019071929A1
Application number: PCT/CN2018/082346
Authority: WO
Inventors: 尹成; 陈少杰; 张文明
Original assignee: 武汉斗鱼网络科技有限公司
Priority date: 2017-10-09
Filing date: 2018-04-09
Publication date: 2019-04-18
Also published as: CN107678967B; CN107678967A

Abstract

The present invention relates to the technical field of software testing, and particularly to a unit testing code coverage (CC) generation method and apparatus, a readable storage medium, and a device. The method comprises: S1, performing, on the basis of service logic, package division processing on reuse testing code blocks in the unit testing process; S2, calculating, on the basis of data of each subpackage obtained by package division processing, a prediction CC data set error as a first error; S3, respectively performing CC testing on each subpackage obtained by package dividing processing, and calculating to obtain a testing CC data set error as a second error; S4, determining whether the absolute difference value between root-mean-square errors of the first error and the second error is greater than a preset CC standard value; if the absolute difference value is smaller than or equal to the preset CC standard value, outputting the prediction CC data set, and if the absolute difference value is greater than the preset CC standard value, increasing the refinement degree of the service logic in sequence and performing package division processing again on each subpackage obtained by package division processing, and performing S2-S4 in a cycle until the absolute difference value is smaller than or equal to the preset CC standard value.

Description

Unit test coverage generation method, device, readable storage medium and device

Technical field

The present invention relates to the field of software testing technologies, and in particular, to a unit test coverage generation method, apparatus, readable storage medium, and device.

Background technique

In the application development process, unit testing is an important and necessary part of the formal submission of the program to the tester for large-scale functional testing. Unit testing refers to the logic check and verification of the smallest testable unit in the program, where the unit is the specified minimum tested function module.

In the development process of Android applications, unit tests are divided into: Java Virtual Machine Unit Test (JVM Test) and Equipment Test (Instrumentation Test). Among them, for the JVM Test, it is generally implemented by running a test case written in pure Java code, without relying on other components, because the code runs on the JVM virtual machine, the test speed is faster; for the Instrumentation Test Because this kind of test needs to rely on the components provided by the Android system, it needs to be deployed and run on the real machine or simulator, and needs to be pre-compiled, so the test speed is slow.

Regardless of whether the above JVM Test or Instrumentation Test is used, there is an important data indicator in the unit test, that is, the coverage (Code Coverage, CC), the coverage ratio is the ratio of the code executed by the unit test to the original code, and the coverage rate is higher. High, the greater the amount of code executed, the higher the quality of the test and the better the robustness of the code.

In Android application development, for the decoupling of componentization and function modules, the same code block is often reused in unit testing, so that the code multiplexing rate of componentization and module decoupling is high. However, according to the existing coverage generation method, the code blocks that are multiplexed are directly included in the calculation of the coverage rate, resulting in an excessive coverage base, resulting in inaccurate coverage and large existence. error.

Summary of the invention

In view of the above problems, the present invention has been made in order to provide a unit test coverage generation method, apparatus, readable storage medium and apparatus that overcome the above problems or at least partially solve the above problems.

An embodiment of the present invention provides a unit test coverage generation method, where the method includes:

S1: performing packetization processing on the multiplexing test code block in the unit testing process based on the business logic;

S2: calculating the predicted coverage data set error as the first error based on the data of each packet obtained after the packet processing;

S3: performing coverage test on each packet obtained after the packet processing, and calculating the error of the test coverage data set as the second error;

S4: determining whether an absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value;

If the absolute value of the difference is less than or equal to the preset coverage standard value, outputting the predicted coverage data set, if the absolute value of the difference is greater than the preset coverage standard value, The degree of refinement of the service logic is increased, and each packet obtained after the packet processing is sub-packetized, and S2-S4 is cyclically executed until the absolute value of the difference is less than or equal to the preset coverage standard value.

Preferably, the first error is calculated by the following formula:

Y ^P =t ₁ x _{[first sub-package alias]} +t ₂ x _{[second sub-package alias]} +...+t _n x _{[n-th sub-package alias]} +E

Wherein, Y ^P is the first error, x _{[n-th sub-alias] The} n-th sub-data, t _n with the x _{[n-th _sub-alias]} parameter corresponding to orthogonal, E is the residual Factor, n is the number of subpackages.

Preferably, the second error is calculated by the following formula:

Where F is the second error, x'∈[x' ₀ , x' ₁ ... x' _n ], [x' ₀ , x' ₁ ... x' _n ] is the test coverage data set , n' is the number of elements included in the test coverage data set.

Preferably, the absolute value of the difference is obtained by the following formula:

Where σ is the absolute value of the difference, Y ^P is the first error, and F is the second error.

Preferably, the coverage testing is performed on each sub-packet obtained after the packet processing, including:

The coverage test based on the Java virtual machine unit test or the device test is performed separately for each sub-packet obtained after the packet processing.

Preferably, the preset coverage standard value ranges from 0.1 to 0.5.

An embodiment of the present invention provides a unit test coverage generation apparatus, where the apparatus includes:

a sub-package module for performing S1: performing packetization processing on the multiplexing test code block in the unit test process based on the business logic;

a first calculating module, configured to execute S2: data of each packet obtained after the packet processing, and calculate a prediction coverage data set error as a first error;

a second calculating module, configured to perform S3: performing coverage testing on each packet obtained after the packet processing, and calculating a test coverage data set error as a second error;

a determining module, configured to execute S4: determining whether an absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value;

a processing module, configured to: if the absolute value of the difference is less than or equal to the preset coverage standard value, output the predicted coverage data set, if the absolute value of the difference is greater than the preset coverage The standard value is used to sequentially improve the refinement processing of each sub-packet obtained after the packet processing, and cyclically execute S2-S4 until the absolute value of the difference is less than or equal to the preset. Coverage standard value.

Preferably, the first error is calculated by the following formula:

The embodiment of the invention provides a computer readable storage medium, on which a computer program is stored, and when the program is executed by the processor, the following steps are implemented:

An embodiment of the present invention provides a computer device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, where the processor implements the following steps:

One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

The present application first performs packetization processing on the multiplexing test code block in the unit testing process based on the business logic, reduces the coupling degree of the multiplexing test code block, and calculates the prediction coverage based on the data of each packet obtained after the packet processing. The error of the rate data set is the first error. Then, the coverage test is performed on each packet obtained after the packet processing, and the error of the test coverage data set is calculated as the second error, and the first error and the second error are determined. Whether the absolute value of the root mean square error is greater than a preset coverage standard value, and if the absolute value of the difference is less than or equal to the preset coverage standard value, outputting the predicted coverage data set, if the absolute value of the difference is greater than The preset coverage standard value is used to sequentially improve the refinement degree of the business logic, and then perform sub-packet processing on each sub-packet obtained after the packet processing, and cyclically execute the error calculation and comparison judgment process until the absolute value of the difference is less than or equal to The preset coverage standard value effectively solves the coverage base caused by directly incorporating the multiplexed code block into the coverage calculation process. Big problems and improve the accuracy of the calculated coverage and decrease the error coverage.

DRAWINGS

Various other advantages and benefits will become apparent to those skilled in the art from a The drawings are only for the purpose of illustrating the preferred embodiments and are not to be construed as limiting. Further, the same components are denoted by the same reference numerals throughout the drawings. In the drawing:

FIG. 1 is a flowchart of a unit test coverage generation method in an embodiment of the present invention;

2 is a structural diagram of a unit test coverage generation apparatus in an embodiment of the present invention;

FIG. 3 is a schematic diagram showing the physical structure of a computer device in an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the embodiments of the present invention have been shown in the drawings, the embodiments Rather, these embodiments are provided so that this disclosure will be more fully understood and the scope of the disclosure will be fully disclosed.

The embodiment of the present application provides a unit test coverage generation method, which may be applied to an Android system, and the coding language of the method may be Java. As shown in Figure 1, the method includes:

S1: Perform packet processing on the multiplexing test code block in the unit testing process based on the business logic.

For S1, S1 performs the process of packet multiplexing test code blocks, the purpose of which is to reduce the degree of coupling between the various multiplex test code blocks. In the specific implementation process, the application migrates the same multiplexing test code block with the same business logic to the same package path to implement the packet processing. The following provides a sub-package example to explain S1:

Table 1

Taking activity_init as an example, the business logic corresponding to the packet is an initialization activity, and the business logic of the multiplexing test code block included in the packet belongs to the initialization activity.

Further, after the execution of S1, S2 is performed: calculating the predicted coverage data set error as the first error based on the data of each packet obtained after the packet processing.

For S2, the source code covered by the multiplexed test code block under each sub-package can be counted by means of the AndroidStudio development tool, thereby obtaining the multiplexed test code block set as X ^T =[x _{[first sub-package alias]} , x _{_{[alias sub-second]}} ..., x _{[n-th sub-alias]],} x _{[alias first sub]} corresponding to the data of the first sub, x _{[alias sub-second]} corresponding to the second sub- The data of the package, and so on. Taking the above example as an example, by counting the source code, X ^T =[x _{[activity_init]} , x _{[fragment_init]} ..., x _{[utils_verify]} ]. Then the orthogonal formula is established based on partial least squares (PLS), and the first error is obtained as:

Where Y ^P is the first error, x _{[nth packet alias]} is the data of the nth packet, and t _n is the orthogonal parameter corresponding to x _{[nth packet alias]} , and [t ₁ ,t ₂ ,...t _n ] is the orthogonal parameter set, E is the residual factor, and n is the number of packets. In addition, the orthogonal parameter set and the residual factor are taken from the standard values of PLSToolBox in Matlab.

After the execution of S2, S3 is performed: the coverage test is performed on each packet obtained after the packet processing, and the error of the test coverage data set is calculated as the second error.

For S3, in the specific implementation process, a coverage test based on the Java Virtual Machine Unit Test (JVM Test) or a coverage test based on the Instrumentation Test may be employed. However, in order to avoid the coverage test using both JVM Test and Instrumentation Test, de-reprocessing is required, that is, the JVM Test is executed after the Instrumentation Test is executed, and the code block is tagged after the Instrumentation Test is executed, thereby Before executing the JVM Test, determine whether the code block is marked with a tag. If the tag has a tag, skip the JVM Test. If there is no tag, execute the JVM Test to ensure that only the JVM Test or the Instrumentation Test is used for the coverage test. In addition, after the coverage test is completed, the test environment system will output the coverage dataset file coverage.ec.

Further, the coverage.ec is read to obtain the test coverage data set [x' ₀ , x' ₁ ... x' _n ], and then the second error is calculated using the cumulative distribution function:

Where F is the second error, x' ∈ [x' ₀ , x' ₁ ... x' _n ], and n' is the number of elements included in the test coverage data set.

After the execution of S3, executing S4: determining whether the absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value, and if the absolute value of the difference is less than or equal to the preset coverage standard value And outputting the predicted coverage data set. If the absolute value of the difference is greater than the preset coverage standard value, the degree of refinement of the service logic is sequentially increased, and each sub-packet obtained after the packet processing is sub-packetized, and S2-S4 is executed cyclically until the absolute value of the difference is less than or equal to the preset coverage standard value.

For S4, first, the absolute value of the difference is obtained using the following formula:

Further, after obtaining the absolute value of the difference, determining the relationship between the absolute value of the difference and the standard value of the preset coverage, the preset coverage standard value ranges from 0.1 to 0.5, preferably, the preset coverage. The standard value can be selected as 0.2, and the following process will be described in detail with a preset coverage standard value of 0.2.

If σ ≤ 0.2, it indicates that the test coverage data error is reasonable. Using the Jacobo plug-in to combine all the predicted coverage data, the prediction coverage data set can be output in the form of a coverage report.

If σ>0.2, indicating that the error of the test coverage data is large, the degree of refinement of the business logic is improved, and each sub-packet after the packet processing is sub-packetized, that is, the business logic refinement procedure at the time of sub-packet processing is high. The degree of business logic refinement during the first subcontracting process. For example, when the first subcontracting process is performed, the business logic of the first subcontracting is a login operation, and the second subcontracting process can be based on the business logic. : Log in the account name and login password to further subcontract the first subcontract. Then, S2-S4 is repeatedly executed, and the first error is calculated based on the data of each packet obtained after the re-packet processing, and the coverage test is performed on each packet obtained after the re-packet processing, and the second calculation is performed. Error, and then determine whether the absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value, and if the absolute value of the difference is less than or equal to the preset coverage standard value, then The predicted coverage data set obtained twice is output, otherwise the process of sub-packaging and S2-S4 is continued to be performed until the absolute value of the difference is less than or equal to the preset coverage standard value.

Based on the same inventive concept, an embodiment of the present invention further provides a unit test coverage generating apparatus. As shown in FIG. 2, the apparatus includes:

The sub-package module 201 is configured to perform S1: performing packetization processing on the multiplexing test code block in the unit testing process based on the service logic;

The first calculating module 202 is configured to execute S2: the data of each packet obtained after the packet processing, and calculate the error of the predicted coverage data set as the first error;

The second calculating module 203 is configured to perform S3: performing coverage testing on each packet obtained after the packet processing, and calculating a test coverage data set error as a second error;

The determining module 204 is configured to execute S4: determining whether an absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value;

The processing module 205 is configured to: if the absolute value of the difference is less than or equal to the preset coverage standard value, output the predicted coverage data set, if the absolute value of the difference is greater than the preset coverage Rate standard value, then sequentially increase the degree of refinement of the service logic, perform sub-packet processing on each packet obtained after the packet processing, and perform S2-S4 cyclically until the absolute value of the difference is less than or equal to the pre- Set the coverage standard value.

Preferably, the first error is calculated by the following formula:

Preferably, the second error is calculated by the following formula:

Preferably, the preset coverage standard value ranges from 0.1 to 0.5.

Based on the same inventive concept, an embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored, and when the program is executed by the processor, the following steps are implemented:

The embodiment of the present invention further provides a computer device. As shown in FIG. 3, for the convenience of description, only parts related to the embodiment of the present invention are shown. If the specific technical details are not disclosed, please refer to the method part of the embodiment of the present invention. . The computer device may be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), an in-vehicle computer, and the like, and the computer device is used as a mobile phone as an example:

3 is a block diagram showing a portion of the structure associated with a computer device provided by an embodiment of the present invention. Referring to FIG. 3, the computer device includes a memory 301 and a processor 302. Those skilled in the art will appreciate that the computer device architecture illustrated in FIG. 3 does not constitute a limitation to a computer device, and may include more or fewer components than those illustrated, or some components may be combined, or different component arrangements.

The specific components of the computer device will be specifically described below with reference to FIG. 3:

The memory 301 can be used to store software programs and modules, and the processor 302 executes various functional applications and data processing by running software programs and modules stored in the memory 301. The memory 301 can mainly include a storage program area and a storage data area, wherein the storage program area can store an operating system, an application required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area can store data. (such as audio data, phone book, etc.). Further, the memory 301 may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 302 is a control center of a computer device that performs various functions and processing data by running or executing software programs and/or modules stored in the memory 301, and recalling data stored in the memory 301. Optionally, the processor 302 may include one or more processing units; preferably, the processor 302 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, an application, and the like. The modem processor primarily handles wireless communications.

In the embodiment of the present invention, the processor 302 included in the computer device may have the following functions:

In summary, the present application first performs packetization processing on the multiplexing test code block in the unit testing process based on the business logic, reduces the coupling degree of the multiplexing test code block, and calculates the data of each packet obtained after the packet processing. The error of the prediction coverage data set is the first error. Then, the coverage test is performed on each packet obtained after the packet processing, and the error of the test coverage data set is calculated as the second error, and the first error and the first error are determined. Whether the absolute value of the difference of the root mean square error of the two errors is greater than the preset coverage standard value, and if the absolute value of the difference is less than or equal to the preset coverage standard value, the predicted coverage data set is output, if the difference is absolute If the value is greater than the preset coverage standard value, the degree of refinement of the service logic is sequentially increased, and each sub-packet obtained after the packet processing is sub-packetized, and the error calculation and comparison judgment process are performed cyclically until the absolute value of the difference is smaller than Or equal to the preset coverage standard value, effectively solving the coverage caused by directly incorporating the multiplexed code block into the coverage calculation process. The problem that the rate base is too large increases the accuracy of the calculated coverage and reduces the error of coverage.

The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general purpose systems can also be used with the teaching based on the teachings herein. The structure required to construct such a system is apparent from the above description. Moreover, the invention is not directed to any particular programming language. It is to be understood that the invention may be embodied in a variety of programming language, and the description of the specific language has been described above in order to disclose the preferred embodiments of the invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that the embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of the description.

Similarly, the various features of the invention are sometimes grouped together into a single embodiment, in the above description of the exemplary embodiments of the invention, Figure, or a description of it. However, the method disclosed is not to be interpreted as reflecting the intention that the claimed invention requires more features than those specifically recited in the claims. Rather, as the following claims reflect, inventive aspects reside in less than all features of the single embodiments disclosed herein. Therefore, the claims following the specific embodiments are hereby explicitly incorporated into the embodiments, and each of the claims as a separate embodiment of the invention.

Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components. In addition to such features and/or at least some of the processes or units being mutually exclusive, any combination of the features disclosed in the specification, including the accompanying claims, the abstract and the drawings, and any methods so disclosed, or All processes or units of the device are combined. Each feature disclosed in this specification (including the accompanying claims, the abstract and the drawings) may be replaced by alternative features that provide the same, equivalent or similar purpose.

In addition, those skilled in the art will appreciate that although some embodiments herein include certain features included in other embodiments and not other features, combinations of features of different embodiments are intended to be within the scope of the present invention. And different embodiments are formed. For example, in the following claims, any one of the claimed embodiments can be used in any combination.

The various component embodiments of the present invention may be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or digital signal processor (DSP) may be used in practice to implement some or all of the functionality of some, or all, of the gateways, proxy servers, systems in accordance with embodiments of the present invention. The invention can also be implemented as a device or device program (e.g., a computer program and a computer program product) for performing some or all of the methods described herein. Such a program implementing the invention may be stored on a computer readable medium or may be in the form of one or more signals. Such signals may be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

It is to be noted that the above-described embodiments are illustrative of the invention and are not intended to be limiting, and that the invention may be devised without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as a limitation. The word "comprising" does not exclude the presence of the elements or steps that are not recited in the claims. The word "a" or "an" The invention can be implemented by means of hardware comprising several distinct elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means can be embodied by the same hardware item. The use of words, second, third, etc. does not indicate any order. These words can be interpreted as names.

Claims

A unit test coverage generation method, characterized in that the method comprises:

S1: performing packetization processing on the multiplexing test code block in the unit testing process based on the business logic;

S2: calculating the predicted coverage data set error as the first error based on the data of each packet obtained after the packet processing;

S3: performing coverage test on each packet obtained after the packet processing, and calculating the error of the test coverage data set as the second error;

S4: determining whether an absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value;

If the absolute value of the difference is less than or equal to the preset coverage standard value, outputting the predicted coverage data set, if the absolute value of the difference is greater than the preset coverage standard value, The degree of refinement of the service logic is increased, and each packet obtained after the packet processing is sub-packetized, and S2-S4 is cyclically executed until the absolute value of the difference is less than or equal to the preset coverage standard value.
The method of claim 1 wherein said first error is calculated using the following formula:

Y P =t 1 x [first sub-package alias] +t 2 x [second sub-package alias] +...+t n x [n-th sub-package alias] +E

Wherein, Y P is the first error, x [n-th sub-alias] The n-th sub-data, t n with the x [n-th sub-alias] parameter corresponding to orthogonal, E is the residual Factor, n is the number of subpackages.
The method of claim 1 wherein said second error is calculated using the following formula:

Where F is the second error, x'∈[x' 0 , x' 1 ... x' n ], [x' 0 , x' 1 ... x' n ] is the test coverage data set , n' is the number of elements included in the test coverage data set.
The method of claim 1 wherein the absolute value of the difference is obtained using the following formula:

Where σ is the absolute value of the difference, Y P is the first error, and F is the second error.
The method according to claim 1, wherein the coverage testing is performed on each of the sub-packets obtained after the packet processing, including:

The coverage test based on the Java virtual machine unit test or the device test is performed separately for each packet obtained after the packet processing.
The method according to claim 1, wherein the preset coverage standard value ranges from 0.1 to 0.5.
A unit test coverage generating apparatus, characterized in that the apparatus comprises:

a sub-package module for performing S1: performing packetization processing on the multiplexing test code block in the unit test process based on the business logic;

a first calculating module, configured to execute S2: data of each packet obtained after the packet processing, and calculate a prediction coverage data set error as a first error;

a second calculating module, configured to perform S3: performing coverage testing on each packet obtained after the packet processing, and calculating a test coverage data set error as a second error;

a determining module, configured to execute S4: determining whether an absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value;

a processing module, configured to: if the absolute value of the difference is less than or equal to the preset coverage standard value, output the predicted coverage data set, if the absolute value of the difference is greater than the preset coverage The standard value is used to sequentially improve the refinement processing of each sub-packet obtained after the packet processing, and cyclically execute S2-S4 until the absolute value of the difference is less than or equal to the preset. Coverage standard value.
The apparatus of claim 7 wherein said first error is calculated using the following formula:

Y P =t 1 x [first sub-package alias] +t 2 x [second sub-package alias] +...+t n x [n-th sub-package alias] +E

Wherein, Y P is the first error, x [n-th sub-alias] The n-th sub-data, t n with the x [n-th sub-alias] parameter corresponding to orthogonal, E is the residual Factor, n is the number of subpackages.
A computer readable storage medium having stored thereon a computer program, wherein the program, when executed by the processor, implements the following steps:

S1: performing packetization processing on the multiplexing test code block in the unit testing process based on the business logic;

S2: calculating the predicted coverage data set error as the first error based on the data of each packet obtained after the packet processing;

S3: performing coverage test on each packet obtained after the packet processing, and calculating the error of the test coverage data set as the second error;

S4: determining whether an absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value;

If the absolute value of the difference is less than or equal to the preset coverage standard value, outputting the predicted coverage data set, if the absolute value of the difference is greater than the preset coverage standard value, The degree of refinement of the service logic is increased, and each packet obtained after the packet processing is sub-packetized, and S2-S4 is cyclically executed until the absolute value of the difference is less than or equal to the preset coverage standard value.
A computer device comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor performs the following steps when executing the program:

S1: performing packetization processing on the multiplexing test code block in the unit testing process based on the business logic;

S2: calculating the predicted coverage data set error as the first error based on the data of each packet obtained after the packet processing;

S3: performing coverage test on each packet obtained after the packet processing, and calculating the error of the test coverage data set as the second error;

S4: determining whether an absolute value of the difference between the root mean square error of the first error and the second error is greater than a preset coverage standard value;

If the absolute value of the difference is less than or equal to the preset coverage standard value, outputting the predicted coverage data set, if the absolute value of the difference is greater than the preset coverage standard value, The degree of refinement of the service logic is increased, and each packet obtained after the packet processing is sub-packetized, and S2-S4 is cyclically executed until the absolute value of the difference is less than or equal to the preset coverage standard value.