CN110046099A - Intelligent software test macro and method - Google Patents
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- 238000004458 analytical method Methods 0.000 claims abstract description 51
- 239000000779 smoke Substances 0.000 claims abstract description 32
- 238000011056 performance test Methods 0.000 claims abstract description 31
- 230000003068 static effect Effects 0.000 claims abstract description 23
- 238000000605 extraction Methods 0.000 claims abstract description 10
- 238000011990 functional testing Methods 0.000 claims description 19
- 230000018109 developmental process Effects 0.000 claims description 14
- 238000011161 development Methods 0.000 claims description 9
- 238000013461 design Methods 0.000 claims description 8
- 230000009897 systematic effect Effects 0.000 claims description 4
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
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Abstract
The embodiment of the invention discloses a kind of intelligent software test macro and methods, the software testing system includes control centre, unit test system, static code analysis system, smoke test and function test system and Performance Test System, wherein, control centre includes item extraction module, function allocating module and task queue；Unit test system includes use-case generation module, use-case execution module A, unit testing plug-in unit and report generation modules A；Static code analysis system includes code analysis module, code analysis plug-in unit and report generation module B；Smoke test and function test system include interface document read module, interface document parsing module, data assembling module, interface requests module and report generation module C；Performance Test System includes use-case execution module B and report generation module D.The present invention provides the abilities of automation and intelligent software test, effectively reduce artificial participation, thereby reduce cost.
Description
Technical field
The present invention relates to computer software application technical field more particularly to a kind of intelligent software test macro and sides
Method.
Background technique
Software development process is made of one group of software development activity.According to SWEBOK (Software Engineering
Body of Knowledge, Software Engineering Knowledge System) classification, these activities specifically include that requirement engineering, software design,
Software construction, software test, software maintenance and evolution.As a key activities in software development process, software test is again
It can continue to segment according to different dimensions, such as functional test and non-functional test；Unit testing and static code analysis.
Although having existed a variety of Method and kit fors in software test field, these Method and kit fors often only focus on soft
A lesser branch in part test, such as EvoSuite(EvoSuite are that the one kind developed jointly by Sheffield university is opened
Source tool, for automatically generating test use cases, the test case of generation meets the standard of JUnit, can be directly in JUnit
Operation) it is concerned only with unit testing, and can not be applied in other test-types.Which results in existing Method and kit fors more
It is scattered, it can not be integrated well in true software development, it is a series of so as to cause during software development
Problem (such as higher study and management cost make to manage fragmentation).In addition, software test is at this stage, there are still a large amount of
It is artificial to participate in, result in higher human cost.
Summary of the invention
The technical problem to be solved by the embodiment of the invention is that a kind of intelligent software test macro and method are provided,
So as to reduce artificial participation and testing cost in software test.
In order to solve the above-mentioned technical problem, the embodiment of the present invention proposes a kind of intelligent software test macro, including control
Center, unit test system, static code analysis system, smoke test and function test system and Performance Test System processed,
In,
Control centre calls for item extraction, system and tool and task schedule, control centre include item extraction module, function
Be capable of calling module and task queue, wherein item extraction module be used for from version control system extract software project source code and
Relevant documentation；Function allocating module is for calling four test macros and engineering management tool；Scheduling is responsible in task queue
The task of required execution；
Unit test system is used to carry out software source code unit testing, and unit test system includes use-case generation module, uses
Example execution module A, unit testing plug-in unit and report generation modules A, wherein use-case generation module is according to the automatic metaplasia of software code
At test case；Use-case execution module A automated execution test case；Unit testing plug-in unit is used in Integrated Development Environment certainly
Dynamicization implementation of test cases；Report generation modules A is for automatically generation unit test report；
Static code analysis system for analyzing software source code, including code analysis module, code analysis plug-in unit and
Report generation module B, wherein the code that code analysis module is used to extract control centre is analyzed；Code analysis plug-in unit
For analyzing in Integrated Development Environment code；Report generation module B is responsible for automatically generating code analysis report；
Smoke test and function test system are used to carry out smoke test and functional test to software project, and including interface document
Read module, interface document parsing module, data assembling module, interface requests module and report generation module C, wherein interface
Document read module is for reading project interface document；Interface document analysis module is used to analyze the interface document read；Data
Assembling module is responsible for assembling and generates interface requests；Interface requests module is responsible for executing the interface requests generated；Report generation module C
For automatically generating smoke test or functional test report；
Performance Test System is used for the performance of test software, including use-case execution module B and report generation module D, wherein use-case
Execution module B is used for automated execution test case；Report generation module D is responsible for automatically generating performance test report.
Correspondingly, the embodiment of the invention also provides a kind of intelligent software test methods, comprising:
Unit testing step: pulling newest code from code release management server, compiles the code, generates and executes
Unit testing use-case, generation unit test report；
Static code analysis step: pulling newest code from code release management server, compiles and analyze the code,
Generate code analysis report；
Smoke test and functional test step: reading Interface design document, parses the information in Interface design document, each to connect
Mouth generates correct HTTP request code, successively requests each interface, records request results, generates smoke test report；According to
The artificial specific function of each interface mappings of sorting and combine, by combination, successively request interface completes specific function test, remembers
The test result of specific function is recorded, the test of total interface combination and systematic function test report are completed；
Performance test step: it according to engineer's test case and manual compiling test script, executes test script and records every
The test result of one use-case, regeneration performance test report.
The invention has the benefit that the present invention is integrated with a variety of test-types in software test, larger journey is provided
Automation and intelligent ability on degree, therefore the artificial participation in software test is effectively reduced, and then substantially reduce
Software test cost.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the intelligent software test macro of the embodiment of the present invention.
Fig. 2 is the unit test system of the embodiment of the present invention, static code analysis system, smoke test and functional test system
The test of system and Performance Test System corresponds to composition schematic diagram.
Fig. 3 is the flow diagram of the intelligent software test method of the embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
It mutually combines, invention is further described in detail in the following with reference to the drawings and specific embodiments.
If directional instruction (such as up, down, left, right, before and after ...) is only used for explaining at certain in the embodiment of the present invention
Relative positional relationship, motion conditions etc. under one particular pose (as shown in the picture) between each component, if the particular pose is sent out
When raw change, then directionality instruction also correspondingly changes correspondingly.
If in addition, the description for being related to " first ", " second " etc. in the present invention is used for description purposes only, and should not be understood as
Its relative importance of indication or suggestion or the quantity for implicitly indicating indicated technical characteristic.Define as a result, " first ",
The feature of " second " can explicitly or implicitly include at least one of the features.
Please refer to Fig. 1, the intelligent software test macro of the embodiment of the present invention include control centre, unit test system,
Static code analysis system, smoke test and function test system and Performance Test System.
Control centre calls for item extraction, system and tool and task schedule, control centre include item extraction mould
Block, function allocating module and task queue, wherein item extraction module is used to extract software project source generation from version control system
Code and relevant documentation；Function allocating module is for calling four test macros and engineering management tool；Task queue is responsible for
Being executed needed for scheduling for task.
As an implementation, control centre is realized using Jenkins.Jenkins is an open source software project, is
Based on a kind of continuous integrating tool of Java exploitation, for monitoring persistently duplicate work, it is desirable to provide an opening is easy-to-use
Software platform makes the continuous integrating of software become possible.
Unit test system is used to carry out software source code unit testing, and unit test system includes that use-case generates mould
Block, use-case execution module A, unit testing plug-in unit and report generation modules A, wherein use-case generation module according to software code from
It is dynamic to generate test case；Use-case execution module A automated execution test case；Unit testing plug-in unit is used in Integrated Development Environment
Middle automated execution test case；Report generation modules A is for automatically generation unit test report.
As an implementation, use-case generation module is realized using the system based on EvoSuite.
As an implementation, use-case execution module A and unit testing plug-in unit are realized using the system based on JUnit.
Static code analysis system is used to analyze software source code, including code analysis module, code analysis are inserted
Part and report generation module B, wherein the code that code analysis module is used to extract control centre is analyzed；Code analysis
Plug-in unit is for analyzing code in Integrated Development Environment；Report generation module B is responsible for automatically generating code analysis
Report.
As an implementation, static code analysis system is used for the analysis of Java source code, html source code
Analysis, the analysis of JavaScript source code.
As an implementation, static code analysis system be based on SonarQube, Sonar-scanner,
The system of SonarLint is realized.Wherein SonarQube is for storing, analyzing, showing code analysis result Sonar-scanner
With the plug-in unit of SonarLint(Integrated Development Environment) for analyzing code.
Smoke test and function test system are used to carry out smoke test and functional test to software project, and including interface
Document read module, interface document parsing module, data assembling module, interface requests module and report generation module C, wherein
Interface document read module is for reading project interface document；Interface document analysis module is used to analyze the interface document read；
Data assembling module is responsible for assembling and generates interface requests；Interface requests module is responsible for executing the interface requests generated；Report generation
Module C is for automatically generating smoke test or functional test report.
As an implementation, smoke test and function test system, which are used based on Scrappy or Selenium, is
System is realized.
Performance Test System is used for the performance of test software, including use-case execution module B and report generation module D, wherein
Use-case execution module B is used for automated execution test case；Report generation module D is responsible for automatically generating performance test report
It accuses.
As an implementation, Performance Test System is realized using the system based on Jmeter.
As an implementation, unit test system of the invention, static code analysis system, smoke test and function
Test macro and Performance Test System four systems are independent mutually, can also successively can be transported by preset sequence with independent operating
Row.
Referring to figure 3., the intelligent software test method of the embodiment of the present invention includes unit testing step, static code point
Analyse step, smoke test and functional test step and performance test step.
Unit testing step: pulling newest code from code release management server, compiles the code, generates simultaneously
Execution unit test case, generation unit test report.
Static code analysis step: pulling newest code from code release management server, compiles and analyzes described
Code generates code analysis report.
Smoke test and functional test step: reading Interface design document, parses the information in Interface design document, is every
A interface generates correct HTTP request code, successively requests each interface, records request results, generates smoke test report；
According to the specific function of each interface mappings of artificial (user) sequence and combination, by combination, successively request interface completes specific function
It can test, record the test result of specific function, complete the test of total interface combination and systematic function test report.
Performance test step: it according to engineer's test case and manual compiling test script, executes test script and remembers
Record the test result of each use-case, regeneration performance test report.
As an implementation, unit testing step further include: the test case according to artificial (user) supplement is executed,
And generation unit test report (manually the result based on full-automatic unit testing supplements test case).
As an implementation, unit testing step of the invention, static code analysis step, smoke test and function
Four steps of testing procedure and performance test step are independent mutually, can walk according to unit testing step, static code analysis
Suddenly, the sequence of smoke test and functional test step and performance test step, can also upset sequence by preset sequence successively
It carries out.
Example: the applicable software source code of the intelligent software test macro of the embodiment of the present invention by Java,
JavaScript, HTML, CSS etc. write.Wherein, control centre is realized by Jenkins, static code analysis by SonarQube,
The plug-in unit of Sonar-scanner, SonarLint(Integrated Development Environment) it realizes, unit testing is real by Evosuite and JUnit
Existing, performance test is realized by Jmeter.
Wherein, the Integrated Development Environment (IDE) that the intelligent software test macro of the embodiment of the present invention uses is
Eclipse, engineering management tool are Maven, version controller SVN.
According to the above content, the corresponding composition of each class testing is as shown in Figure 2.
Correspondingly, the detailed process of the intelligent software test method of the embodiment of the present invention are as follows:
(1) all configuration works are completed, including but not limited to building SonarQube server, SonarLint environment,
EvoSuite environment, Maven environment, JUnit environment establish four projects, i.e. unit testing project, static state on Jenkins
Code analysis project, smoke test and functional test project, performance test project.
(2) the execution unit test item on Jenkins.
(3) Jenkins pulls newest code from SVN server.
(4) Jenkins calls Maven compiled code.
(5) Jenkins calls EvoSuite generation unit test case.
(6) Jenkins calls JUnit automated execution unit testing use-case.
(7) Jenkins calls JUnit to automate generation unit test report.
(8) the result artificial supplementation test case based on full-automatic unit testing.
(9) Eclipse and JUnit automated execution unit testing use-case is used.
(10) generation unit test report is automated using Eclipse and JUnit.
(11) code is manually repaired according to Unit Test Report.
(12) (2)~(11) are repeated until the Bug being found is repaired.
(13) static code analysis project is executed on Jenkins.
(14) Jenkins pulls newest code from SVN server.
(15) Jenkins calls Maven compiled code.
(16) Jenkins calls Sonar-scanner to analyze code.
(17) Sonar-scanner generates code analysis report, and is uploaded to SonarQube server.
(18) each Java engineer analyzes code, and completion code reparation using SonarLint in Eclipse,
Result and the completion code reparation on SonarQube server can be accessed by browser.Other Engineering teacher passes through browser
Access the result on SonarQube server and completion code reparation.
(19) (13)~(18) are repeated until all code issues are repaired.
(20) smoke test and functional test project are executed on Jenkins.
(21) Jenkins calling interface document read module reads Interface design document.
(22) information in Jenkins calling interface document parsing module parsing Interface design document.
(23) it is that each interface generates correct HTTP request code that Jenkins, which calls data assembling module,.
(24) Jenkins calling interface request module successively requests each interface.
(25) Jenkins calls report generation module C to record request results, and generates smoke test report.
(26) artificial reparation code is reported according to smoke test.
(27) (20)~(26) are repeated until smoke test passes through.
(28) each interface is manually sorted and combines, to map specific function.
(29) it is that specific combination generates correct http queue that Jenkins, which calls data assembling module,.
(30) Jenkins calling interface request module by queue successively request interface with complete specific function test.
(31) (28)~(30) are repeated until institute is functional tested.
(32) Jenkins calls report generation module C to record request results, and systematic function test report.
(33) artificial reparation code is reported according to functional test.
(34) (28)~(33) are repeated until functional test passes through.
(35) engineer's performance test case.
(36) manual compiling performance test script.
(37) Jenkins calls Jmeter to execute test script.
(38) Jmeter records the test result of each use-case.
(39) Jmeter generates performance test report.
(40) artificial tuning is reported according to performance test.
(41) (35)~(40) are repeated until performance test passes through.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention are defined by the appended claims and their equivalents.
Claims (9)
1. a kind of intelligent software test macro, which is characterized in that including control centre, unit test system, static code point
Analysis system, smoke test and function test system and Performance Test System, wherein
Control centre calls for item extraction, system and tool and task schedule, control centre include item extraction module, function
Be capable of calling module and task queue, wherein item extraction module be used for from version control system extract software project source code and
Relevant documentation；Function allocating module is for calling four test macros and engineering management tool；Scheduling is responsible in task queue
The task of required execution；
Unit test system is used to carry out software source code unit testing, and unit test system includes use-case generation module, uses
Example execution module A, unit testing plug-in unit and report generation modules A, wherein use-case generation module is according to the automatic metaplasia of software code
At test case；Use-case execution module A automated execution test case；Unit testing plug-in unit is used in Integrated Development Environment certainly
Dynamicization implementation of test cases；Report generation modules A is for automatically generation unit test report；
Static code analysis system for analyzing software source code, including code analysis module, code analysis plug-in unit and
Report generation module B, wherein the code that code analysis module is used to extract control centre is analyzed；Code analysis plug-in unit
For analyzing in Integrated Development Environment code；Report generation module B is responsible for automatically generating code analysis report；
Smoke test and function test system are used to carry out software project smoke test and functional test, including interface document is read
Modulus block, interface document parsing module, data assembling module, interface requests module and report generation module C, wherein interface text
Shelves read module is for reading project interface document；Interface document analysis module is used to analyze the interface document read；Data group
It is responsible for assembling for die-filling piece and generates interface requests；Interface requests module is responsible for executing the interface requests generated；Report generation module C is used
In automatically generation smoke test or functional test report；
Performance Test System is used for the performance of test software, including use-case execution module B and report generation module D, wherein use-case
Execution module B is used for automated execution test case；Report generation module D is responsible for automatically generating performance test report.
2. intelligent software test macro as described in claim 1, which is characterized in that the control centre uses and is based on
The system of Jenkins is realized.
3. intelligent software test macro as described in claim 1, which is characterized in that the use-case of the unit test system is raw
It is realized at module using the system based on EvoSuite.
4. intelligent software test macro as described in claim 1, which is characterized in that the use-case of the unit test system is held
Row modules A and unit testing plug-in unit are realized using the system based on JUnit.
5. intelligent software test macro as described in claim 1, which is characterized in that the static code analysis system uses
System based on SonarQube, Sonar-scanner, SonarLint is realized.
6. intelligent software test macro as described in claim 1, which is characterized in that the smoke test and functional test system
System is realized using the system based on Scrappy or Selenium.
7. intelligent software test macro as described in claim 1, which is characterized in that the Performance Test System is used and is based on
The system of Jmeter is realized.
8. a kind of intelligent software test method characterized by comprising
Unit testing step: pulling newest code from code release management server, compiles the code, generates and executes
Unit testing use-case, generation unit test report；
Static code analysis step: pulling newest code from code release management server, compiles and analyze the code,
Generate code analysis report；
Smoke test and functional test step: reading Interface design document, parses the information in Interface design document, each to connect
Mouth generates correct HTTP request code, successively requests each interface, records request results, generates smoke test report；According to
The artificial specific function of each interface mappings of sorting and combine, by combination, successively request interface completes specific function test, remembers
The test result of specific function is recorded, the test of total interface combination and systematic function test report are completed；
Performance test step: it according to engineer's test case and manual compiling test script, executes test script and records every
The test result of one use-case, regeneration performance test report.
9. intelligent software test method as claimed in claim 8, which is characterized in that the unit testing step further include:
Execute the test case of artificial supplementation, and generation unit test report.
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| CN111459809A (en) * | 2020-03-23 | 2020-07-28 | 汇通达网络股份有限公司 | Software testing method based on rapid demand version iteration |
| CN111506509A (en) * | 2020-04-20 | 2020-08-07 | 上海元城汽车技术有限公司 | Automatic testing method, device, equipment and storage medium for automobile software unit |
| CN111708706A (en) * | 2020-06-19 | 2020-09-25 | 重庆赛宝工业技术研究院 | Industrial internet APP automatic test system and test method |
| CN112346991B (en) * | 2020-11-27 | 2022-03-22 | 新华三大数据技术有限公司 | Interface test script generation method and device |
| CN112346991A (en) * | 2020-11-27 | 2021-02-09 | 新华三大数据技术有限公司 | Interface test script generation method and device |
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| CN113742215A (en) * | 2021-07-13 | 2021-12-03 | 北京关键科技股份有限公司 | Method and system for automatically configuring and calling test tool to perform test analysis |
| CN113742215B (en) * | 2021-07-13 | 2024-04-09 | 北京关键科技股份有限公司 | Method and system for automatically configuring and calling test tool to perform test analysis |
| CN113468072A (en) * | 2021-07-27 | 2021-10-01 | 中国银行股份有限公司 | Dynamic unit testing system and method based on byte code enhancement technology |
| CN113722229A (en) * | 2021-09-06 | 2021-11-30 | 挂号网（杭州）科技有限公司 | Software testing method and device, electronic equipment and storage medium |
| CN114579467A (en) * | 2022-03-18 | 2022-06-03 | 山东云海国创云计算装备产业创新中心有限公司 | Smoking test system and method based on release subscription mechanism |
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