WO2019052234A1

WO2019052234A1 - Automated test method for product algorithm, and application server

Info

Publication number: WO2019052234A1
Application number: PCT/CN2018/089889
Authority: WO
Inventors: 黄小珍; 李琦
Original assignee: 平安科技（深圳）有限公司
Priority date: 2017-09-13
Filing date: 2018-06-05
Publication date: 2019-03-21
Also published as: CN107885656B; CN107885656A

Abstract

Disclosed are an automated test method for a product algorithm. The method comprises: entering page information corresponding to an insurance policy relevant to the test, and inserting same into a corresponding service table of a database layer; invoking a database layer interface corresponding to each analog event of the test, so as to complete service processing and product algorithm calculation corresponding to each analog event; and automatically checking the correctness of each calculation result, and judging whether the test is passed. Also provided is an application server and a computer-readable storage medium. The automated test method for a product algorithm, the application server and the computer-readable storage medium provided in the present application can conveniently and rapidly perform a new product algorithm test and a regression test.

Description

Product algorithm automated test method and application server

The present application claims priority to Chinese Patent Application No. 201710819574.5, entitled "Product Algorithm Automated Test Method and Application Server", filed on September 13, 2017, the entire contents of which is incorporated herein by reference. in.

Technical field

The present application relates to the field of data testing technologies, and in particular, to a product algorithm automatic testing method and an application server.

Background technique

New product algorithm testing has long been a serious bottleneck in the speed of new product launches for the following reasons: the execution of one case involves the operation of multiple business systems; the operation steps of one case are numerous; the execution of one case takes a long time; the operation of one step is incorrect. , you need to start from scratch; manual operation is easy to make mistakes and not found, which makes troubleshooting difficult; algorithm has many defects, repeated tests; algorithm defects, development troubleshooting, time-consuming; web page automation, involving multiple systems and public platforms The process is complex, difficult to stabilize, and difficult to maintain, so it cannot be automated through the web.

Because of the above reasons, the test cycle of a new set of products is very long, which can not meet the requirements of the business on the speed of new products, and because the case execution takes a long time, the regression test of this core function cannot be carried out in the regression phase.

Summary of the invention

In view of this, the present application proposes an automatic test method for product algorithms and an application server to solve the problem of how to quickly and easily perform new product algorithm testing and regression testing.

First, in order to achieve the above object, the present application provides an automatic test method for product algorithms, the method comprising the steps of:

Entering page information corresponding to the policy related to the test, and inserting it into a corresponding business table of the database layer;

Calling the database layer interface corresponding to each simulated event of the test to complete the business processing and product algorithm calculation corresponding to each simulation event;

Automatically check the correctness of each calculation result and judge whether the test passes.

In addition, in order to achieve the above object, the present application further provides an application server, including a memory, a processor, and a product algorithm automated test system stored on the memory and operable on the processor, the product algorithm automatic test The system implements the following steps when executed by the processor:

Further, to achieve the above object, the present application further provides a computer readable storage medium storing a product algorithm automated test system, the product algorithm automated test system being executable by at least one processor, The step of causing the at least one processor to perform an automated test method of the product algorithm as described above.

Compared with the prior art, the product algorithm automatic testing method, the application server and the computer readable storage medium proposed by the present application can complete the automation of the product algorithm case test at the database layer without relying on the application layer, that is, by simulating each business system. The data generated by the events such as insurance policy, billing, policy change, and claims processing are inserted into the business related table, and the simulated events that may occur in the entire life cycle of the policy in the next few decades are completed by calling the relevant interfaces of each business system. Business processing, which automates the testing of product algorithms and quickly obtains test results. In addition, the tested product algorithm cases are accumulated and a regression set is established. Before each version is released, the product algorithm case of the regression set is re-verified by the automated program to more effectively ensure the quality of the version release.

DRAWINGS

1 is a schematic diagram of an optional application environment of each embodiment of the present application;

2 is a schematic diagram of an optional hardware architecture of the application server of FIG. 1;

3 is a schematic diagram of a program module of a first embodiment of an algorithm automatic test system for a product of the present application;

4 is a schematic diagram of a program module of a second embodiment of an algorithm automatic test system of the product of the present application;

5 is a schematic diagram of a program module of a third embodiment of an algorithm automatic test system of the product of the present application;

6 is a schematic flow chart of a first embodiment of an automatic algorithm testing method for a product of the present application;

7 is a schematic flow chart of a second embodiment of an algorithm for automatically testing an algorithm of a product according to the present application;

FIG. 8 is a schematic flowchart diagram of a third embodiment of an automatic algorithm testing method for a product according to the present application.

Reference mark:

移动终端 Mobile terminal	11
应用服务器 application server	22
网络The internet	33
存储器Memory	1111
处理器processor	1212
网络接口Network Interface	1313
产品算法自动化测试系统Product Algorithm Automated Test System	200200
录入模块 Entry module	201201

调用模块 Call module	202202
判断模块 Judgment module	203203
设置模块 Setting module	204204
选择模块 Selection module	205205
回归模块 Regression module	206206

The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings.

Detailed ways

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

It should be noted that the descriptions of "first", "second" and the like in the present application are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. . Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly. In addition, the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. Nor is it within the scope of protection required by this application.

Referring to FIG. 1 , it is a schematic diagram of an optional application environment of each embodiment of the present application.

In this embodiment, the present application is applicable to an application environment including, but not limited to, a mobile terminal 1, an application server 2, and a network 3. The mobile terminal 1 may be a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a navigation device, an in-vehicle device, etc. Mobile devices such as, and fixed terminals such as digital TVs, desktop computers, notebooks, servers, and the like. The application server 2 may be a computing device such as a rack server, a blade server, a tower server, or a rack server. The application server 2 may be a stand-alone server or a server cluster composed of multiple servers. The network 3 may be an intranet, an Internet, a Global System of Mobile communication (GSM), a Wideband Code Division Multiple Access (WCDMA), a 4G network, Wireless or wired networks such as 5G networks, Bluetooth, Wi-Fi, and call networks.

The application server 2 is respectively connected to one or more of the mobile terminals 1 (only one shown in the figure) through the network 3, and each of the mobile terminals 1 is installed and operated. The application client corresponding to the application server 2 (hereinafter referred to as "mobile terminal client"). The mobile terminal client is configured to create a long connection between the mobile terminal client and the application server 2 in response to an operation of the mobile terminal user, so that the mobile terminal client can pass the long connection and the The application server 2 performs data transmission and interaction.

Referring to FIG. 2, it is a schematic diagram of an optional hardware architecture of the application server 2 in FIG. In this embodiment, the application server 2 may include, but is not limited to, the memory 11, the processor 12, and the network interface 13 being communicably connected to each other through a system bus. It is pointed out that FIG. 2 only shows the mobile terminal 1 with the components 11-13, but it should be understood that not all illustrated components are required to be implemented, and more or fewer components may be implemented instead.

The memory 11 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), and a random access memory (RAM). , static random access memory (SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, and the like. In some embodiments, the memory 11 may be an internal storage unit of the application server 2, such as a hard disk or memory of the application server 2. In other embodiments, the memory 11 may also be an external storage device of the application server 2, such as a plug-in hard disk equipped on the application server 2, a smart memory card (SMC), and a secure digital number. (Secure Digital, SD) card, flash card, etc. Of course, the memory 11 can also include both the internal storage unit of the application server 2 and its external storage device. In this embodiment, the memory 11 is generally used to store an operating system installed in the application server 2 and various types of application software, such as program code of the product algorithm automatic test system 200. Further, the memory 11 can also be used to temporarily store various types of data that have been output or are to be output.

The processor 12 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 12 is typically used to control the overall operation of the application server 2, such as performing control and processing related to data interaction or communication with the mobile terminal 1. In this embodiment, the processor 12 is configured to run program code or process data stored in the memory 11, such as running the product algorithm automated test system 200 and the like.

The network interface 13 may comprise a wireless network interface or a wired network interface, which is typically used to establish a communication connection between the application server 2 and other electronic devices. In this embodiment, the network interface 13 is mainly used to connect the application server 2 to one or more mobile terminals 1 through the network 3, and the application server 2 and the one or more mobiles. A data transmission channel and a communication connection are established between the terminals 1.

So far, the application environment of the various embodiments of the present application and the hardware structure and functions of related devices have been described in detail. Hereinafter, various embodiments of the present application will be proposed based on the above-described application environment and related devices.

First, the present application proposes a product algorithm automated test system 200.

Referring to FIG. 3, it is a program module diagram of the first embodiment of the product automated test system 200 of the present application. In this embodiment, the product algorithm automated test system 200 may be divided into one or more modules, the one or more modules being stored in the memory 11 and being processed by one or more processors (this The embodiment is executed by the processor 12) to complete the application. For example, in FIG. 3, the product algorithm automated test system 200 can be divided into an entry module 201, a call module 202, and a decision module 203. A program module as referred to in the present application refers to a series of computer program instruction segments capable of performing a specific function, which is more suitable than the program to describe the execution process of the product algorithm automated test system 200 in the application server 2. The function of each program module 201-203 will be described in detail below.

The entry module 201 is configured to input page information corresponding to the policy related to the test, and insert the information into the corresponding service table of the database layer.

Specifically, the entry module 201 needs to input, according to the product algorithm case, page information related to the policy related to the automatic test of the product algorithm, such as policyholder information, insured information, insurance information, and the like. Then, the entry module 201 inserts the entered information into the related service table of the database layer, so as to obtain corresponding information during subsequent testing.

The calling module 202 is configured to invoke a database layer interface corresponding to each simulated event of the test to complete a service processing and a product algorithm calculation corresponding to each simulated event.

Specifically, the simulation event that participates in the test may be selected in advance, and the calling module 202 invokes a database layer interface corresponding to the simulated event according to the selected simulated event, and acquires corresponding data, thereby performing corresponding to the simulated event. Business processing and product algorithm calculations, and the calculation results are obtained.

The simulated events include: (1) insurance policy for insuring, the specific process includes insurance, underwriting, initial charge, and underwriting. (2) Dividends and distribution, survival gold pumping, universal settlement, investment settlement and so on. (3) Renewal premiums or arrears. (4) Acceptance of various items of preservation, such as: surrender, reduced insurance, additional insurance, new additional insurance, bonus collection, survival gold collection, universal/investment part collection, deduction, payment method change, self Change of pad selection rights, change of bonus option, re-effect, etc. (5) Claim processing.

The determining module 203 is configured to automatically check the correctness of each calculation result and determine whether the test passes.

Specifically, after the business of each simulation event is processed, it compares with the expected result, checks the correctness of the calculation result, and records whether the flag is passed. The calculation result corresponding to the simulation event (1) includes policy information such as premium, and the calculation result corresponding to the simulation event (2) includes dividend information, survival gold information, universal settlement information, investment settlement information, etc., simulation event (3) The corresponding calculation results include renewal premiums, etc. The calculation results corresponding to the simulation events (4) include refunds, replenishment fees, new policy information, etc. The calculation results corresponding to the simulation events (5) include claims, new policy information, and the like. If the calculation results are correct, the test passes.

Referring to FIG. 4, it is a program module diagram of a second embodiment of the product automated test system 200 of the present application. In this embodiment, the product algorithm automated test system 200 includes a setting module 204 and a selection module 205 in addition to the entry module 201, the calling module 202, and the determination module 203 in the first embodiment.

The setting module 204 is configured to set various simulation events according to a product cycle.

Specifically, the simulated event includes: (1) insuring a policy, and the specific process includes insuring, underwriting, initial charging, and underwriting. (2) Dividends and distribution, survival gold pumping, universal settlement, investment settlement and so on. (3) Renewal premiums or arrears. (4) Acceptance of various items of preservation, such as: surrender, reduced insurance, additional insurance, new additional insurance, bonus collection, survival gold collection, universal/investment part collection, deduction, payment method change, self Change of pad selection rights, change of bonus option, re-effect, etc. (5) Claim processing.

The selection module 205 is configured to select a simulation event that needs to participate in the test.

Specifically, the above various simulation events include important business processing processes involved in the life insurance product algorithm testing process. When testing the product algorithm case, any combination of the above various simulation events may be selected as needed.

Referring to FIG. 5, it is a program module diagram of a third embodiment of the algorithm automatic test system 200 of the present application. In this embodiment, the product algorithm automated test system 200 further includes a regression module 206 based on the second embodiment.

The regression module 206 is configured to record the tested product algorithm case and generate a product algorithm regression test library.

Specifically, the regression module 206 accumulates the product algorithm cases that have passed the automated test and establishes a regression case set, which is saved in the product algorithm regression test library. Re-testing and verifying the product algorithm cases in the product algorithm regression test library before each version release will more effectively ensure the quality of the version release.

In addition, the present application also proposes an automated test method for product algorithms.

Referring to FIG. 6, it is a schematic flowchart of a first embodiment of an algorithm automatic test method for a product of the present application. In this embodiment, the order of execution of the steps in the flowchart shown in FIG. 6 may be changed according to different requirements, and some steps may be omitted.

In step S600, the page information corresponding to the policy related to the test is entered, and inserted into the corresponding service table of the database layer.

Specifically, according to the product algorithm case, the page information related to the policy related to the automated test of the product algorithm, such as the policyholder information, the insured information, the insurance information, and the like are entered. Then, the entered information is inserted into the related business table of the database layer, so that the corresponding information is obtained during subsequent testing.

Step S602, the database layer interface corresponding to each simulated event of the test is invoked to complete the service processing and product algorithm calculation corresponding to each simulation event.

Specifically, the simulation event participating in the test may be selected in advance, and the database layer interface corresponding to the simulation event is invoked according to the selected simulation event, and corresponding data is acquired, thereby performing service processing and product algorithm corresponding to the simulation event. Calculate and get the calculation result.

In step S604, the correctness of each calculation result is automatically checked, and it is judged whether the test passes.

Specifically, after the business of each simulation event is processed, it compares with the expected result, checks the correctness of the calculation result, and records whether the flag is passed. The calculation result corresponding to the simulation event (1) includes policy information such as premium, and the calculation result corresponding to the simulation event (2) includes dividend information, survival gold information, universal settlement information, investment settlement information, etc., simulation event (3) The corresponding calculation results include renewal premiums, etc. The calculation results corresponding to the simulation events (4) include refunds, replenishment fees, new policy information, etc. The calculation results corresponding to the simulation events (5) include claims, new policy information, and the like. If the calculation results are correct, the test passes, otherwise the test fails.

The product algorithm automatic test method proposed in this embodiment can complete the automation of the product algorithm case test at the database layer without relying on the application layer, that is, insert the data generated by the simulation event into the service related table, and then call the relevant interfaces of each business system. Complete the business processing of simulation events that may occur at various stages of the lifecycle of the policy for the next few decades, thereby automating product algorithm testing and quickly obtaining test results.

FIG. 7 is a schematic flowchart diagram of a second embodiment of an algorithm automatic test method of the product of the present application. In this embodiment, the steps S704-S708 of the product algorithm automatic test method are similar to the steps S600-S604 of the first embodiment, except that the method further includes steps S700-S702.

The method includes the following steps:

In step S700, various simulation events are set according to the product cycle.

Step S702, selecting a simulation event that needs to participate in the test.

Step S704, the page information corresponding to the policy related to the test is entered, and inserted into a corresponding service table of the database layer.

Step S706, invoking a database layer interface corresponding to each simulated event of the test, to complete business processing and product algorithm calculation corresponding to each simulation event.

In step S708, the correctness of each calculation result is automatically checked, and it is judged whether the test passes.

The product algorithm automatic testing method proposed in this embodiment can complete the automation of the product algorithm case test at the database layer without relying on the application layer, that is, by simulating the insured billing, charging, policy change, and claims processing of each business system, Selecting the simulation events to be tested, inserting the data generated by the simulation events into the business related table, and then invoking the relevant interfaces of each business system to complete the business processing of the simulation events that may occur in the entire life cycle of the policy in the next few decades, thereby Automate product algorithm testing and get test results quickly.

FIG. 8 is a schematic flowchart diagram of a third embodiment of an algorithm automatic test method of the product of the present application. In this embodiment, the steps S800-S808 of the product algorithm automatic test method are similar to the steps S700-S708 of the second embodiment, except that the method further includes step S810.

The method includes the following steps:

In step S800, various simulation events are set according to the product cycle.

Step S802, selecting a simulation event that needs to participate in the test.

Step S804, the page information corresponding to the policy related to the test is entered, and inserted into a corresponding service table of the database layer.

Step S806, the database layer interface corresponding to each simulated event of the test is invoked to complete the service processing and product algorithm calculation corresponding to each simulation event.

In step S808, the correctness of each calculation result is automatically checked, and it is judged whether the test passes.

Step S810, recording the tested product algorithm case, and generating a product algorithm regression test library.

Specifically, the product algorithm cases that have passed the automated test are accumulated and a regression case set is established and saved in the product algorithm regression test library. Before each version is released, the product algorithm case in the product algorithm regression test library can be re-tested and verified.

The product algorithm automatic test method proposed in this embodiment obtains the product algorithm regression test library by accumulation, and retests and verifies the product algorithm case in the product algorithm regression test library before each version is released, which will more effectively ensure The quality of the release.

The serial numbers of the embodiments of the present application are merely for the description, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present application.

The above is only a preferred embodiment of the present application, and is not intended to limit the scope of the patent application, and the equivalent structure or equivalent process transformations made by the specification and the drawings of the present application, or directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of this application.

Claims

An automatic test method for product algorithms is applied to an application server, characterized in that the method comprises the steps of:

Entering page information corresponding to the policy related to the test, and inserting it into a corresponding business table of the database layer;

Calling the database layer interface corresponding to each simulated event of the test to complete the business processing and product algorithm calculation corresponding to each simulation event;

Automatically check the correctness of each calculation result and judge whether the test passes.
The product algorithm automated test method according to claim 1, further comprising the steps of:

Set various simulation events according to the product cycle;

Select the simulation events that need to participate in the test.
The product algorithm automated testing method according to claim 2, further comprising the steps of:

Record the tested product algorithm case and generate a product algorithm regression test library.
The product algorithm automatic testing method according to claim 1, wherein the simulated event comprises: insuring a policy, a bonus pumping and distribution, a survival gold pumping, a universal settlement, a investment settlement, a renewal premium or Arrears, security items are accepted, and claims are processed.
The method for automatically testing a product algorithm according to claim 1, wherein the step of automatically checking the correctness of each calculation result and determining whether the test passes is specifically:

After the business of each simulation event is processed, the calculated result is compared with the expected result;

When the calculation results are correct, the test is passed, otherwise the test fails;

A flag that records whether the test passed.
The method for automatically testing a product algorithm according to claim 2, wherein the step of automatically checking the correctness of each calculation result and determining whether the test passes is specifically:

After the business of each simulation event is processed, the calculated result is compared with the expected result;

When the calculation results are correct, the test is passed, otherwise the test fails;

A flag that records whether the test passed.
The method for automatically testing a product algorithm according to claim 3 or 4, wherein the step of automatically checking the correctness of each calculation result and determining whether the test passes is specifically:

After the business of each simulation event is processed, the calculated result is compared with the expected result;

When the calculation results are correct, the test is passed, otherwise the test fails;

A flag that records whether the test passed.
An application server, comprising: a memory, a processor, and a product algorithm automated test system stored on the memory and operable on the processor, the product algorithm automated test system being The following steps are implemented when the processor is executed:

Entering page information corresponding to the policy related to the test, and inserting it into a corresponding business table of the database layer;

Calling the database layer interface corresponding to each simulated event of the test to complete the business processing and product algorithm calculation corresponding to each simulation event;

Automatically check the correctness of each calculation result and judge whether the test passes.
The application server of claim 8 wherein said product algorithm automated test system is further implemented when said processor is executed:

Set various simulation events according to the product cycle;

Select the simulation events that need to participate in the test.
The application server of claim 9 wherein said product algorithm automated test system is further implemented when said processor is executed:

Record the tested product algorithm case and generate a product algorithm regression test library.
The application server according to claim 8, wherein the simulated event comprises: insured generation of a policy, bonus drawing and distribution, survival gold pumping, universal settlement, investment settlement, renewal premium charging or arrears, The various items of the security are accepted and the claims are processed.
The application server according to claim 8, wherein the step of automatically checking the correctness of each calculation result and determining whether the test passes is specifically:

After the business of each simulation event is processed, the calculated result is compared with the expected result;

When the calculation results are correct, the test is passed, otherwise the test fails;

A flag that records whether the test passed.
The application server according to claim 9, wherein the step of automatically checking the correctness of each calculation result and determining whether the test passes is specifically:

After the business of each simulation event is processed, the calculated result is compared with the expected result;

When the calculation results are correct, the test is passed, otherwise the test fails;

A flag that records whether the test passed.
The application server according to claim 10 or 11, wherein the step of automatically checking the correctness of each calculation result and determining whether the test passes is specifically:

After the business of each simulation event is processed, the calculated result is compared with the expected result;

When the calculation results are correct, the test is passed, otherwise the test fails;

A flag that records whether the test passed.
A computer readable storage medium storing a product algorithm automated test system, the enterprise recommendation program being executable by at least one processor to cause the at least one processor to perform the following steps:

Entering page information corresponding to the policy related to the test, and inserting it into a corresponding business table of the database layer;

Calling the database layer interface corresponding to each simulated event of the test to complete the business processing and product algorithm calculation corresponding to each simulation event;

Automatically check the correctness of each calculation result and judge whether the test passes.
The computer readable storage medium of claim 15 wherein said product algorithm automated test system is further implemented when said processor is executed:

Set various simulation events according to the product cycle;

Select the simulation events that need to participate in the test.
The computer readable storage medium of claim 16 wherein said product algorithm automated test system is further implemented when said processor is executed:

Record the tested product algorithm case and generate a product algorithm regression test library.
The computer readable storage medium according to claim 15, wherein the simulated event comprises: insured generation policy, bonus pumping and distribution, survival gold pumping, universal settlement, investment settlement, renewal premium charging or Arrears, security items are accepted, and claims are processed.
The computer readable storage medium according to any one of claims 15-17, wherein the step of automatically checking the correctness of each calculation result and determining whether the test passes is specifically:

After the business of each simulation event is processed, the calculated result is compared with the expected result;

When the calculation results are correct, the test is passed, otherwise the test fails;

A flag that records whether the test passed.
The computer readable storage medium according to claim 18, wherein the step of automatically checking the correctness of each calculation result and determining whether the test passes is specifically:

After the business of each simulation event is processed, the calculated result is compared with the expected result;

When the calculation results are correct, the test is passed, otherwise the test fails;

A flag that records whether the test passed.