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CN112131096B - ICT system fault analysis and auxiliary research and judgment test case automatic generation method and device - Google Patents

ICT system fault analysis and auxiliary research and judgment test case automatic generation method and device Download PDF

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CN112131096B
CN112131096B CN202010384421.4A CN202010384421A CN112131096B CN 112131096 B CN112131096 B CN 112131096B CN 202010384421 A CN202010384421 A CN 202010384421A CN 112131096 B CN112131096 B CN 112131096B
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ict
ict system
system fault
interference
element set
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CN112131096A (en
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许中平
张韬
李祥纳
康泰峰
俞学豪
赵子岩
郑蓉蓉
王晨辉
施明泰
高威
李冬
刘荫
郭爽爽
宫晓峰
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Beijing Sgitg Accenture Information Technology Co ltd
State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
Information and Telecommunication Branch of State Grid Shandong Electric Power Co Ltd
Beijing Zhongdian Feihua Communication Co Ltd
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Beijing Sgitg Accenture Information Technology Co ltd
State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
Information and Telecommunication Branch of State Grid Shandong Electric Power Co Ltd
Beijing Zhongdian Feihua Communication Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Prevention of errors by analysis, debugging or testing of software
    • G06F11/3668Testing of software
    • G06F11/3672Test management
    • G06F11/3684Test management for test design, e.g. generating new test cases

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  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an ICT system fault analysis and auxiliary research judgment test case automatic generation method and device, and belongs to the technical field of software testing. Constructing a data set in a database, wherein the data set comprises a user dialogue element set, an ICT system function element set, an ICT system fault problem element set and an interference factor set; setting an initial case; setting interference factors; and modifying the ICT system fault problem element set by using the set interference factors to obtain an interfered ICT system fault problem element set, and generating parameters in the interfered user dialogue elements, namely test cases, according to the interfered ICT system fault problem element set. The invention can automatically generate the test case set based on the application scene, improves the test efficiency, and solves the problems of insufficient test cases, slow case accumulation and influence on application development and test; by adding interference factors, the comprehensiveness of the test is improved.

Description

ICT system fault analysis and auxiliary research and judgment test case automatic generation method and device
Technical Field
The invention belongs to the technical field of software testing, and particularly relates to an ICT (Information and Communications Technology, information and communication technology) system fault analysis and auxiliary research and judgment test case automatic generation method and device.
Background
The rapid development of new generation artificial intelligence technology, the formation of big data, the innovation of theoretical algorithm, the improvement of computing power and the evolution of network facilities drive the development of artificial intelligence to enter a new stage, thereby providing favorable conditions for the operation and maintenance intellectualization of an information communication system. However, in the new development situation, many challenges are faced in the field of ICT operation and maintenance services, mainly in the following aspects: firstly, the first-level deployment information systems of companies are hundreds and increasingly, the existing customer service agents are insufficient, the quantity of the existing customer service agents cannot meet the increasing demands of ICT (Information and Communications Technology, information and communication technology) systems, the information sharing and knowledge searching technical means are relatively backward, knowledge is basically shared by adopting Excel and other modes, and the means are backward, so that the improvement of the intelligent level is needed; compared with the customer service field, the ICT customer service field is complex, the business carried by each system is different and has strong specialization, the annual telephone traffic of the whole-network ICT customer service in the current stage is about 200 ten thousand, eight businesses such as desktops, human resources, finances, materials and the like are covered, important functions are played in the aspects of providing user services, reasonably allocating resources, optimizing business processes and the like, but the professional problems of the ICT system are solved almost completely by means of the knowledge experience of individuals in the seat at present, the professional knowledge reserves of the personnel are uneven, and the knowledge graph of the typical business field of the ICT system needs to be constructed to rapidly improve the service efficiency, rapidly and accurately solve the user problems and improve the service satisfaction; thirdly, the value added service capability of the existing ICT customer service system is low, since ICT customer service is developed, 500 ten thousand work orders, more than 600 ten thousand general voice data, a large number of pictures and other unstructured data are accumulated, but the abundant value of the data is not yet developed, so that the enhancement of the knowledge-driven mass data mining analysis capability is needed to explore the value added service and create more values.
When the application based on the big data technology is developed, a long time is required for case accumulation, the test cases are difficult to acquire, the batch test cannot be carried out, and the developed application is difficult to comprehensively test to ensure the accuracy and the reliability of the developed application.
Disclosure of Invention
The invention aims to provide a method and a device for automatically generating fault analysis and auxiliary research and judgment test cases of an ICT system, which can solve the problems.
Specifically, in one aspect, the invention provides a method for automatically generating an ICT system fault analysis and auxiliary research judgment test case, which comprises the following steps:
Constructing a data set in a database, wherein the data set comprises a user dialogue element set, an Information and Communication Technology (ICT) system functional element set, an ICT system fault problem element set and an interference factor set, the user dialogue element set is a set of dialogue elements for interaction between a user and an ICT system fault analysis and auxiliary research and judgment function, the ICT system functional element set is used for describing the ICT system function, the ICT system fault problem element set is used for describing the ICT system fault problem, and the interference factor set is used for modifying the ICT system fault problem;
Setting parameters in the ICT system function element set and the ICT system fault problem element set to serve as an initial case;
selecting interference factors for generating test cases from the interference factor set;
And modifying the ICT system fault problem element set by using the interference factors for generating the test cases to obtain an interfered ICT system fault problem element set, and generating the test cases according to the interfered ICT system fault problem element set.
Further, the interference factors include expression interference, which is used for modifying the expression of each parameter in the ICT system fault problem element set.
Further, the expression interference is used for modifying the expression of each parameter in the ICT system fault problem element set through local dialect, and/or intonation, and/or proper noun.
Further, the interference factors include system name interference, and/or system function interference, and/or system time interference.
Further, the method also comprises the step of interacting dialogue elements in the test case with the ICT system fault analysis and auxiliary research and judgment functions in a dialect voice API or manual reading mode.
Further, the method also comprises the steps of using the test case to interact with the ICT system fault analysis and auxiliary research and judgment functions, and comparing the result with the initial case.
In another aspect, the present invention further provides an electronic device, including a memory and a processor, where the processor and the memory complete communication with each other through a cable; the memory stores program instructions executable by the processor, which are called by the processor to perform the method described above.
In yet another aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method.
The ICT system fault analysis and auxiliary research and judgment test case automatic generation method and device have the following beneficial effects:
the test case set can be automatically generated based on the application scene, so that the test efficiency is improved, and the problems of insufficient test cases, slow case accumulation and influence on application development and test are solved;
By adding interference factors such as missing part of key information, the comprehensiveness of the test is improved; by assisting application simulation and automatically generating a case set, application simulation can be seen, and practicability and advancement of ICT application are displayed.
Drawings
Fig. 1 is a flow chart of embodiment 1 of the present invention.
Fig. 2 is a schematic diagram of a user dialogue element set in the database according to embodiment 1 of the present invention.
Fig. 3 is a schematic diagram of an ICT system functional element set in a database according to embodiment 1 of the present invention.
Fig. 4 is a schematic diagram of an ICT system fault problem element set in a database according to embodiment 1 of the present invention.
Detailed Description
The invention is described in further detail below with reference to the examples and with reference to the accompanying drawings.
Example 1:
An embodiment of the invention relates to an ICT system fault analysis and auxiliary research and judgment test case automatic generation method and device. As shown in fig. 1, the following steps are included.
First, a data set in a database is constructed.
Constructing a data set in a database includes: a set of user dialogue elements (as shown in fig. 2), a set of ICT system functional elements (as shown in fig. 3), a set of ICT system fault problem elements (as shown in fig. 4), and a set of interference factors are constructed and stored in a database. For example, as shown in fig. 2, the user dialogue element set includes a system name, a function (such as a "system function"), an attribute of "function 1" is "attribute description 1", a problem of "function 1" is "problem description 1", a problem of "problem description 1" associated with a next problem is "problem description 2", an attribute of "problem description 1" is "attribute description 2", and a solution of "problem description 1" associated with is "solution instance". As shown in fig. 3, the ICT system functional element set includes an "XX system"; the lower level of the XX system comprises an X1 service, an X2 service and an X2 service, and the attribute of the X2 service is an instruction 1; the lower level of the X2 service is the XX sub-service, and the attribute of the sub-service is description 2; the XX sub-service comprises a XX function, and the attribute of the XX function is description 3; the "XX function" includes "XX sub-function", the attribute of the "XX sub-function" is "description 4", the operation responsibility of the "XX sub-function" is "operation responsibility instance", the target user of the "XX sub-function" is "user instance", and the operation step of the "XX sub-function" is "operation step instance". As shown in fig. 4, the ICT system fault problem element set includes a "fault ID"; the attributes of the "trouble ID" include "time", "phenomenon", "influence", "disposal process", "corrective measure", "cause"; "time" includes the failure occurrence time "time value 1", the failure removal time "time value 2"; the attribute of the phenomenon is a phenomenon description; the "influence" includes the scope "net province company name 1", …, "net province company name n", and the system where the failure occurs "net province company name 1" is "system name 1"; the system where the failure occurs of the "net province company name n" is the "system name n"; the measure related to the 'rectifying measure' is a 'rectifying step event'; the type of "cause" is "specific problem", and the analysis associated with "cause" is "analysis conclusion".
The user dialogue element is a dialogue element for interaction between a user and the ICT system fault analysis and auxiliary research and judgment functions, and comprises a system name, a system function, a system problem, a history similar problem and the like. The system name is the original system that sought help, such as a "customer marketing system". The system functions are functions that fail (i.e., system problems), such as "customer information queries," and take values from the set of ICT system functional elements. The system problem refers to a problem, such as "no corresponding client can be found", which is a value from the ICT system fault problem set. The history similar problem refers to whether the system problem appears before and how, for example, the history similar problem can be inquired in yesterday, and the history similar problem is valued from the ICT system fault problem set.
The ICT system function element set is used for describing ICT system functions, including system names, system services, system functions, operation instructions and the like. The system name, such as "customer marketing system", is set differently for different systems. The system service, such as 'information inquiry', is set differently for different services. The system functions, such as "customer information query", are set differently for different system functions. The operation instructions, such as logging in by account, clicking the corresponding module, inputting customer name or mobile phone number, clicking the query waiting query result, and carrying out different settings for different operation instructions.
The ICT system fault problem element set is used for describing ICT system fault problems, including time, phenomenon, influence, treatment process, corrective measures, problem reasons and the like. Time refers to the time at which the ICT system failure problem occurred, such as the time 2019, 12, 10 days of a particular query. A phenomenon refers to the manifestation of an ICT system failure, e.g., query no results. The impact refers to the impact of an ICT system failure. The handling process refers to a processing process after the ICT system fault occurs, for example, firstly inquiring whether the system has operation and maintenance operation, secondly inquiring whether the client network connection is in progress or not, and finally communicating with an operation and maintenance unit, and feeding back the result to the user. The corrective measures refer to corrective measures taken after the occurrence of an ICT system fault, such as strengthening operation and maintenance work and the like. The problem causes are causes of ICT system faults, such as the fact that the ICT system is not on line in time after operation and maintenance.
The interference factor set includes expression interference, system name interference, system function interference, time interference, etc. The expression interference refers to modifying the expression of each parameter in the fault problem set so as to generate interference, for example, the expression interference is set to be local dialect, and further, if the expression interference is further set to be local dialect in the Hubei Huanggang region, the expression of each parameter in the fault problem set is performed by using the Hubei Huanggang region dialect. System name interference refers to modifying the representation of the system name to create interference, such as describing the marketing system as a customer service system, a user information management system, etc. System function interference refers to modifying a representation of a system function to create interference, such as describing a querying user as a seeking user or a designated user, etc. The time disturbance refers to replacing the correct failure occurrence time with the wrong failure occurrence time to cause disturbance to the system time, for example, the failure occurrence time is expressed as being 1 hour earlier or 1 hour later than the actual failure occurrence time, or the like.
Second, an initial case is set.
Initializing ICT system function element set, and setting system name, system service, system function and operation description.
For example, set the system name to "marketing system"; setting the system service as 'information inquiry'; setting the system function as 'client information inquiry'; the operation instructions are set as 'login with account number, clicking on corresponding module, inputting customer name or mobile phone number, clicking on query waiting for query result'.
And (II) initializing an ICT system fault problem element set, and setting time, phenomenon, influence, treatment process, corrective measures, problem reasons and the like in the set.
For example, set the time to the time of a specific query, such as 12 months 10 days 2019; setting the phenomenon as query no result; setting the treatment process as 'firstly inquiring whether the system has operation and maintenance operation, secondly inquiring whether the client network communication is in progress and finally communicating with an operation and maintenance unit, and feeding back the result to the user'; setting the rectifying measure as 'strengthening operation and maintenance work and the like'; the problem reason is set as 'not on line in time after system operation and maintenance'.
And thirdly, setting interference factors.
The interference factors used to generate the test cases are selected. The following interference factors are set:
Interference factors for expressing interference are set, including but not limited to using different dialects, different intonation, proper nouns, etc., for fuzzy expression of system dialogue elements. For example, the expression interference is set to a dialect, i.e. the system parameters are expressed using the dialect. Specifically, for example, if the expression interference is set to the dialect of the yellow-okara region in Hubei, the system parameters are expressed by using the dialect of the yellow-okara region in Hubei.
And setting interference factors of system name interference, which are used for blurring the system names and adopting the system names with similar or interference. For example, the marketing system is described as a customer service system, a user information management system, and the like.
And setting interference factors of system function interference, which are used for blurring the system function names and adopting the system function names with similar or interference. For example, a querying user is described as a find user, a designate user, and so on.
And setting interference factors of time interference, which are used for blurring the time stamp of the system function problem and adopting similar or interfering time expression. For example, the correct failure occurrence time is confused, for example, 1 hour in advance or 1 hour in delay, etc.
Fourth, automatically generating test cases.
And modifying the ICT fault problem set based on the interference factors set in the third step to obtain an ICT system fault problem set after interference, generating system functions in the user dialogue elements after interference according to the ICT system fault problem set after interference, and setting system names, system services, system functions and operation instructions to obtain an ICT system fault analysis and auxiliary research and judgment function test case.
And automatically generating dialogue information according to the disturbed dialogue elements to serve as a disturbed test case for interacting with a customer service disposal program, namely interacting a user with an ICT system fault analysis and auxiliary research and judgment function. For example, the dialect of the yellow-oka area in Hubei province is used for describing the system name, the system service, the system function and the operation description with interference based on the form of dialect voice API or manual reading, so as to form a customer service report case.
Fifth, iterative training is performed in the application.
The customer service treatment program performs fault auxiliary research and judgment based on the automatically generated interfered test cases; and (3) comparing the research and judgment result with the fault problem set initialized in the second step, and counting the accuracy of auxiliary research and judgment.
For example, calling a customer service treatment program, analyzing and processing an automatically generated interfered customer service maintenance case, extracting a processed system name, a system service, a system function, a treatment process, a correction measure, a problem reason and the like, comparing the processed system name, the system service, the system function, the treatment process, the correction measure and the problem reason with a case preset system name, a system service, a system function, a treatment process, a correction measure and a problem reason one by one, judging the accuracy of ICT intelligent customer service treatment, and feeding back a test result to development and operation maintenance personnel.
In some embodiments, certain aspects of the techniques described above may be implemented by one or more processors of a processing system executing software. The software includes one or more sets of executable instructions stored or otherwise tangibly embodied on a non-transitory computer-readable storage medium. The software may include instructions and certain data that, when executed by one or more processors, operate the one or more processors to perform one or more aspects of the techniques described above. The non-transitory computer readable storage medium may include, for example, a magnetic or optical disk storage device, a solid state storage device such as flash memory, cache, random Access Memory (RAM), or other non-volatile memory device. Executable instructions stored on a non-transitory computer-readable storage medium may be in source code, assembly language code, object code, or other instruction format that is interpreted or otherwise executed by one or more processors.
A computer-readable storage medium may include any storage medium or combination of storage media that can be accessed by a computer system during use to provide instructions and/or data to the computer system. Such storage media may include, but is not limited to, optical media (e.g., compact Disc (CD), digital Versatile Disc (DVD), blu-ray disc), magnetic media (e.g., floppy disk, magnetic tape, or magnetic hard drive), volatile memory (e.g., random Access Memory (RAM) or cache), non-volatile memory (e.g., read Only Memory (ROM) or flash memory), or microelectromechanical system (MEMS) based storage media. The computer-readable storage medium may be embedded in a computing system (e.g., system RAM or ROM), fixedly attached to the computing system (e.g., a magnetic hard drive), removably attached to the computing system (e.g., an optical disk or Universal Serial Bus (USB) based flash memory), or coupled to the computer system via a wired or wireless network (e.g., network-accessible storage (NAS)).
The invention aims to construct an ICT application automation test case set, solve the professional problems that the acquisition of test cases in big data and artificial intelligence application is difficult, the comprehensive simulation of application scenes is not possible, and the effectiveness of a system is difficult to verify, further assist in the optimal configuration of ICT system resources, promote the knowledge mining capability of ICT business and the ICT customer service value added service capability, and promote the optimization of the operation and maintenance capability of ICT systems of companies.
The invention is mainly applied to the customer service field, in particular to the automatic test management of a multi-service system customer service system, and can play roles of enriching test cases, improving test accuracy and comprehensiveness.
While the application has been disclosed in terms of preferred embodiments, the embodiments are not intended to limit the application. Any equivalent changes or modifications can be made without departing from the spirit and scope of the present application, and are intended to be within the scope of the present application. The scope of the application should therefore be determined by the following claims.

Claims (8)

1. The ICT system fault analysis and auxiliary research and judgment function test case automatic generation method is characterized by comprising the following steps of:
Constructing a data set in a database, wherein the data set comprises a user dialogue element set, an Information and Communication Technology (ICT) system functional element set, an ICT system fault problem element set and an interference factor set, the user dialogue element set is a set of dialogue elements for interaction between a user and an ICT system fault analysis and auxiliary research and judgment function, the ICT system functional element set is used for describing the ICT system function, the ICT system fault problem element set is used for describing the ICT system fault problem, and the interference factor set is used for modifying the ICT system fault problem;
Setting parameters in the ICT system function element set and the ICT system fault problem element set to serve as an initial case;
selecting interference factors for generating test cases from the interference factor set;
And modifying the ICT system fault problem element set by using the interference factors for generating the test cases to obtain an interfered ICT system fault problem element set, and generating the test cases according to the interfered ICT system fault problem element set.
2. The method for automatically generating an ICT system fault analysis and auxiliary research and judgment function test case according to claim 1, wherein the interference factors comprise expression interference for modifying expression of each parameter in the ICT system fault problem element set.
3. The method for automatically generating test cases for analyzing and assisting in studying and judging a fault of an ICT system according to claim 2, wherein the expression interference is used for modifying the expression of each parameter in the set of elements of the fault problem of the ICT system by local dialect, and/or intonation, and/or proper noun.
4. The method for automatically generating ICT system fault analysis and auxiliary research and decision function test cases according to claim 2, wherein the interference factors comprise system name interference, and/or system function interference, and/or system time interference.
5. The method for automatically generating test cases of an ICT system fault analysis and auxiliary research and judgment function according to claim 1, further comprising the step of interacting dialogue elements in the test cases with the ICT system fault analysis and auxiliary research and judgment function in a dialect voice API or manual reading mode.
6. The method for automatically generating test cases for the ICT system fault analysis and auxiliary research and judgment function according to any one of claims 1 to 5, further comprising using the test cases to interact with the ICT system fault analysis and auxiliary research and judgment function, and comparing the result with the initial case.
7. An electronic device comprising a memory and a processor, the processor and the memory completing communication with each other via a cable; the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1-6.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method according to any one of claims 1 to 6.
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