CN115982011A - Continuous automatic test platform for software quality improvement - Google Patents
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Abstract
The invention discloses a continuous automatic test platform for software quality improvement, which comprises a continuous integrated server, a software configuration management system, a test module and an automatic test flow management and data analysis module, wherein the continuous integrated server is connected with the software configuration management system; the continuous integration server realizes the integrated calling of a version library state monitoring, timing operation and polling triggering operation test tool through plug-in deployment; and the continuous integration server calls the command interface and calls the execution script, automatically triggers a test tool in the test module to run, and completes automatic test and report generation. According to the invention, through continuous integration, automatic execution of test tasks and automatic feedback of test reports, the software process control effectiveness is improved, the software codes are always in a health state close to release, the test work is moved forward, and the later quality risk is reduced.
Description
Technical Field
The invention relates to the field of software detection, in particular to a continuous automatic test platform for software quality improvement.
Background
With modern information software systems, users are very concerned with: product quality and operation stability. For some large-scale and complex-function information system software research and development, development members of a project team are generally respectively responsible for different function modules. And a specific software project is influenced by factors such as project requirement change, plan change and the like, and factors such as personnel composition structure, short-term development target and the like of a software research and development team also change dynamically. Therefore, in the development of information system software, one team is often responsible for the development of multiple projects, and one project is completed by multiple development teams in a periodic and cooperative manner. The organization management mode increases the complexity and the uncontrollable property of a software development process from multiple dimensions, and brings great challenges to software quality improvement, which is mainly embodied in the following aspects:
1) The demand change can not be responded in time, and the influence on the project development cycle is large;
2) The software versions are difficult to manage, the integration difficulty among the versions is high, and difficulty is brought to system joint test;
3) The research and development period is prolonged, and the project schedule, the cost and the like are difficult to control;
4) Software defects can not be fully exposed in a development period, so that the improvement of code quality is influenced, and the later quality risk is improved.
Therefore, how to automatically and continuously monitor the code quality and feed the code quality back to the research personnel for modification and feedback to the product responsible personnel for knowing is an urgent problem to be solved in the research and development process of the software system and is a common requirement for research and development of a team.
Disclosure of Invention
In order to solve the problems, the invention provides a continuous automatic test platform for software quality improvement, which comprises a continuous integrated server, a software configuration management system, a test module and an automatic test flow management and data analysis module; the continuous integration server is deployed in a plug-in mode, so that the integration and calling of a version library state monitoring, timing operation and polling trigger operation test tool are realized; the continuous integration server calls a command interface and an execution script, automatically triggers a test tool in the test module to run, and completes automatic test and report generation;
the software configuration management system adopts a distributed Git configuration management tool and a centralized SVN software configuration management tool, and utilizes gitStack to perform project establishment management, user management and authority control tools for Git, so as to realize project resource management of a continuous automatic test platform;
the automatic test flow management and data analysis module customizes an execution task in a user-defined mode based on a plug-in mechanism in Jenkins integrated service, completes the design of a test flow according to the automatic test requirement, and realizes polling timing scheduling, full automatic test, incremental automatic test, test analysis report automatic feedback, result report analysis feedback and execution state notification.
Further, a test report statistical analysis program in the automatic test flow management and data analysis module carries out statistical analysis on the generated report, and the code defects and the test report are fed back to an SVN and Git version library in the software configuration management system for unified management; the test module selects Testbed and Cobot as test tools for checking the correctness of the source code, detecting the security defect and optimizing the code.
Further, the continuous integration server adopts a Jenkins continuous integration server.
Furthermore, the software configuration management system is integrated with Jenkins through Git Plug-in and Subversion Plug-in;
corresponding to GitStack, establishing item setting for each item through a NewItem, build period and Poll SCM in Jenkins, and configuring a script running period; the continuous integration server generates an execution script for each project by utilizing a script batch automatic generation function; jenkins calls an execution script according to the running period through Build-Excute; and the execution script transmits execution parameters to the TestBed and Cobot test software, and the TestBed and the Cobot test each item according to the test rules, the use cases and the transmitted execution parameters and generate a test report.
Further, the project resources include source code, version libraries, test reports, and analysis reports.
Further, the continuous integration server generates the execution script through a script batch automatic generation function, and the process of the script batch automatic generation specifically comprises the following steps:
establishing items on a continuous automatic test platform in batches;
designing an execution script;
automatically copying the original scripts to the work catalogs of the projects in batches;
reading the item name;
replacing the difference content between the instance script and the original script in batches;
and generating a specific execution script.
Further, the executing process of the execution script comprises the following steps:
setting a working directory in the execution script;
an incremental detection period;
calculating the starting time of the incremental screening;
setting a path of a project to be detected;
creating a set to be tested;
traversing the source file of the item to be tested, judging whether the time is in the increment period, if not, reading the next source file until the end; adding a set to be tested to the source file in the increment period;
parameters are transferred to TestBed and Cobot;
executing the test;
and outputting a test report.
Further, the process of statistical analysis of test reports comprises:
test report files output in a batch traversing manner;
setting an identification character string for identifying the attention item;
analyzing the content of the test report file based on the HTML DOM;
searching a numerical value corresponding to the defect item of the replacing code according to the identifier;
processing the identified test result;
and outputting an analysis result.
Compared with the prior art, the invention has the following beneficial effects:
1) By utilizing the Jenkins integration service technology, the integration of a configuration management tool and a test tool is realized, and the conflict or waste of manpower and time resources caused by the use of a single tool is avoided.
2) By scheduling and executing the automatic test, night test, idle period test and the like are realized, so that the test execution time and the result feedback time are greatly shortened, a large number of testers are reduced, the test task backlog is avoided, and the test efficiency is improved.
3) By integrating the GIT version management tool, the software version is continuously controlled in the development process, and the effective control of the software version of the development library and the quality improvement of the code in the library are greatly improved due to the integration of the automatic warehousing test function.
4) By means of an automatic means, key indexes such as test report data and development library code increment are automatically extracted regularly, accuracy of measurement and analysis data in the development process is greatly improved, quantitative analysis data are obtained through statistical analysis, and execution of the development and test process is guided.
5) Through functions of continuous integration, automatic testing, measurement and analysis data report generation and the like, forward excitation is generated in the development and test process of a development team, and the final software quality is obviously improved.
Drawings
FIG. 1 is a system architecture diagram of the present invention.
Fig. 2 is a diagram of an example platform architecture according to a first embodiment of the present invention.
Fig. 3 is a platform interface diagram according to a first embodiment of the invention.
Fig. 4 is a diagram of a platform permission control interface according to a first embodiment of the present invention.
Fig. 5 is a configuration diagram of a platform project operation cycle according to a first embodiment of the present invention.
Fig. 6 is a platform call script diagram according to a first embodiment of the present invention.
FIG. 7 is a flowchart of a script batch automatic generation logic according to a first embodiment of the present invention.
FIG. 8 is a script code implementation diagram according to a first embodiment of the present invention.
FIG. 9 is a diagram of an implementation of batch automatic copy code according to a first embodiment of the present invention.
Fig. 10 is a diagram of an implementation of automatic replacement code according to a first embodiment of the present invention.
FIG. 11 is a flowchart illustrating a logic flow of an item execution script according to a first embodiment of the present invention.
FIG. 12 is a logic flow diagram of a statistical analysis of test reports according to a first embodiment of the present invention.
Fig. 13 is a test report statistical analysis code implementation diagram according to a first embodiment of the present invention.
Fig. 14 is a diagram illustrating changes of code increments with dates according to the first embodiment of the present invention.
Fig. 15 is a schematic diagram illustrating a change of the number of code defects with date according to the first embodiment of the present invention.
Fig. 16 is a diagram illustrating a change of a code defect rate with date according to a first embodiment of the present invention.
Detailed Description
The following describes in detail a specific embodiment of the software quality improvement oriented continuous automatic test platform according to the present invention with reference to the accompanying drawings.
Example one
As shown in fig. 1, the continuous automatic test platform for software quality improvement according to this embodiment includes 4 main functional modules: the system comprises a continuous integration server, a software configuration management system, a test module and an automatic test process management and data analysis module. The following is explained for each part:
1) The integration server is continued. The continuous integration server enables and triggers a series of incremental process improvements, simplifies development and deployment processes, and helps developers to continuously detect and repair bugs in real time. The embodiment adopts the Jenkins continuous integration server with the most extensive application, and realizes the automatic functions of version library state monitoring, timing operation, polling trigger operation test tool integrated calling and the like through plug-in deployment.
2) And (3) a software configuration management system. And (3) adopting a distributed Git configuration management tool and a centralized SVN software configuration management tool, realizing integration with Jenkins through Git Plug-in and Subversion Plug-in, wherein gitStack is used as a project construction management, user management and authority control tool for Git. Project resource (including source code, version library, test report, analysis report, etc.) management is realized in the continuous automatic test platform.
3) Test module
Testbed and Cobot are selected as testing tools and are mainly used for correctness check, security defect detection and code optimization of source codes. And the integrated platform calls a command interface to automatically trigger the TestBed and the Cobot to run, and the continuous integrated server calls an execution script to complete the automatic test and report generation.
4) And the automatic test flow management and data analysis module. Based on a plug-in mechanism in Jenkins integration service, an execution task is customized in a user-defined mode, the design of a test flow is completed according to the automatic test requirements of a project team, and the customization functions of polling timing scheduling, full-scale automatic test, incremental automatic test, test analysis report automatic feedback, result report analysis feedback, execution state notification and the like are realized.
In the development of a certain software system, the design implementation process of the continuous automatic test platform described in this embodiment is as follows:
17 items of software engineering involved in 50 people on the research and development team scale. The frequency of the continuous automatic test poll for the total amount of code to be executed is set to 30 days/time and the frequency of the continuous automatic test poll for the code increment to be executed is set to 7 days/time. The implementation process focuses on the following quantization indexes, namely code increment, code defect number and code defect rate.
1) Configuring a hardware server environment and an operating system, deploying Jenkins, git, gitstart, svn, testbed, cobot and other tools, and constructing a continuous automatic testing platform, as shown in fig. 2, fig. 3, fig. 4, fig. 5 and fig. 6.
And the Git and the SVN are used as project management tools and are integrated with Jenkins through Git Plug-in and Subversion Plug-in respectively, wherein gitStack is used for Git to perform project construction management, user management and authority control.
Corresponding to GitStack, item setting is built for each item through NewItem, build period and Poll SCM in Jenkins, and a script running period is configured. And the continuous integration server generates an execution script for each project through a script batch automatic generation function. Jenkins calls the execution script according to the running period through Build-Excute. And the execution script transmits execution parameters to the TestBed and Cobot test software, and the TestBed and Cobot test each item according to the test rules, the cases and the transmitted execution parameters and generate a test report.
And a test report statistical analysis program in the automatic test flow management and data analysis module processes the generated report and feeds the code defects and the test report back to an SVN and Git version library in a software configuration management system for unified management.
2) The script is designed for each project, the program is called, the execution script is automatically generated, and the timer for executing the task is set (in the example, the whole amount is executed every 30 days, and the increment is executed every 7 days).
Fig. 7 shows a flowchart of script batch automatic generation, which specifically includes the following steps:
items are built in batches on the continuous automatic test platform, script is designed and executed, and script code implementation diagrams are shown in fig. 8. The script is used to automatically copy the work catalog of the project in bulk, as shown in FIG. 9. Reading the item name, and replacing the difference content between the instance script and the original script in batches, as shown in FIG. 10. And generating a specific execution script example and handing the execution script example to Jenkins for calling.
The logic flow for executing a script is shown in FIG. 11.
Setting a working directory and an increment detection period (such as 7 days) in the execution script, calculating the starting time of increment screening, setting a project path to be detected, creating a set to be detected, traversing a source file of the project to be detected, judging whether the time is in the increment period, and if not, reading the next source file until the end. And adding a set to be tested to the source file in the increment period. Parameters are transmitted to the TestBed and the Cobot, tests are executed, and test reports are output to the output catalog.
3) And (5) carrying out statistical analysis on the test report. And (4) counting, analyzing and summarizing the automatic execution result of each project into a statistical result report, and feeding the statistical result report back to research personnel and related team members for timely knowing the code defect condition and correcting errors. The logic flow for the statistical analysis of the test report is shown in FIG. 12.
And traversing the output test report files in batches, setting an identification character string for identifying the concerned item, analyzing the content of the test report files based on HTML DOM (hypertext markup language document object model), searching a numerical value corresponding to the defect item of the replacing code according to the identification, processing the test result of the identification, and outputting an analysis result to the specified position of the output file. The implementation of the procedure is shown in FIG. 13.
The example is based on the development process of the information software system, and the technical method is applied to continuously run for 10 weeks, wherein the statistical results are shown in tables 1 and 2. Fig. 14, 15, and 16 show the 10-week code increment and defect conditions of the typical project 5. The number of defects and the defect rate of codes of the project are obviously reduced along with the date, and the codes are continuously maintained to run at the low level of the index, less than 1.5 per mill, so that the method has an obvious positive effect on the improvement of the overall quality of a software system.
TABLE 1 statistics of the results of the fifth week of execution (with representativeness)
| Project name | Week code increment | Number of defects | Defect rate (‰) |
| |
32737 | 36 | 1.099673153 |
| |
19704 | 9 | 0.456760049 |
| |
8753 | 9 | 1.028218896 |
| |
5552 | 10 | 1.801152738 |
| |
22716 | 17 | 0.748371192 |
| |
563 | 1 | 1.776198934 |
| |
4712 | 10 | 2.122241087 |
| |
14819 | 24 | 1.619542479 |
| |
31340 | 35 | 1.116783663 |
| |
914 | 0 | 0 |
| |
533 | 0 | 0 |
| |
3414 | 1 | 0.292911541 |
| |
53091 | 33 | 0.621574278 |
| |
63872 | 38 | 0.59493988 |
| |
13864 | 5 | 0.360646278 |
| |
4402 | 4 | 0.908677874 |
| |
4240 | 5 | 1.179245283 |
| Total up to | 294344 | 237 | 0.80518 |
TABLE 2 variation of project five with date (with representativeness)
| Project name | Week code increment | Number of defects | Rate of defects |
| 2022-03-31 | 37225 | 64 | 1.719274681 |
| 2022-04-01 | 1591 | 2 | 1.257071025 |
| 2022-04-08 | 16734 | 20 | 1.195171507 |
| 2022-04-15 | 19411 | 11 | 0.566688991 |
| 2022-04-22 | 14390 | 10 | 0.694927033 |
| 2022-04-29 | 22716 | 17 | 0.748371192 |
| 2022-05-06 | 13074 | 4 | 0.305950742 |
| 2022-05-13 | 18955 | 10 | 0.527565286 |
| 2022-05-20 | 10777 | 5 | 0.463951007 |
| 2022-05-27 | 2988 | 2 | 0.669344043 |
| 2022-06-03 | 4981 | 5 | 1.003814495 |
According to the invention, through continuous integration, automatic execution of test tasks and automatic feedback of test reports, the software process control effectiveness is improved, the software codes are always in a health state close to release, the test work is moved forward, and the later quality risk is reduced. By means of automatic testing means such as the test task is executed at night, the test task is executed immediately after being updated, and the test task is executed when the equipment is idle, the problem of resource conflict of time, manpower, equipment and the like is solved, the research and development period is shortened, and the labor cost is saved. Meanwhile, the continuous control of the software version is implemented on the continuous integration platform, the effectiveness of version control in the software research and development process is improved, and the quality risk caused by the failure of the software version is reduced.
The invention mainly aims at the problems of non-standard testing process, large workload, repeated labor, low cooperative efficiency of developers and testers and the like in the software development process, and provides an automatic testing platform technology based on continuous integration. By applying the following technical means, the software development and test process management with high efficiency, high cooperation and high quality is realized:
1) By utilizing the Jenkins integration service technology, the integration of a configuration management tool and a test tool is realized, and the conflict or waste of manpower and time resources caused by the use of a single tool is avoided.
2) By scheduling and executing the automatic test, night test, idle period test and the like are realized, so that the test execution time and the result feedback time are greatly shortened, a large number of testers are reduced, the test task backlog is avoided, and the test efficiency is improved.
3) By integrating the GIT version management tool, the software version is continuously controlled in the development process, and the effective control of the software version of the development library and the quality improvement of the code in the library are greatly improved due to the integration of the automatic warehousing test function.
4) By means of automation, key indexes such as test report data and development library code increment are periodically and automatically extracted, accuracy of measurement and analysis data in the development process is greatly improved, quantitative analysis data are obtained through statistical analysis, and execution of the development and test process is guided.
5) Through functions of continuous integration, automatic testing, measurement and analysis data report generation and the like, forward excitation is generated in the development and test process of a development team, and the final software quality is obviously improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A continuous automatic test platform for software quality improvement is characterized by comprising a continuous integration server, a software configuration management system, a test module and an automatic test flow management and data analysis module; the continuous integration server is deployed in a plug-in mode, so that the integration and calling of a version library state monitoring, timing operation and polling trigger operation test tool are realized; the continuous integration server calls a command interface and an execution script, automatically triggers a test tool in the test module to run, and completes automatic test and report generation;
the software configuration management system adopts a distributed Git configuration management tool and a centralized SVN software configuration management tool, and utilizes gitStack to serve as an item construction management tool, a user management tool and an authority control tool for Git, so as to realize the project resource management of a continuous automatic test platform;
the automatic test flow management and data analysis module customizes an execution task in a user-defined mode based on a plug-in mechanism in Jenkins integrated service, completes the design of a test flow according to the automatic test requirement, and realizes polling timing scheduling, full automatic test, incremental automatic test, test analysis report automatic feedback, result report analysis feedback and execution state notification.
2. The continuous automatic test platform for software quality improvement according to claim 1, wherein a test report statistical analysis program in the automatic test flow management and data analysis module performs statistical analysis on the generated report, and feeds back the code defects and the test report to an SVN and Git version library in a software configuration management system for unified management; the test module selects Testbed and Cobot as test tools for source code correctness check, security defect detection and code optimization.
3. The continuous automatic test platform for software quality improvement according to claim 2, characterized in that the continuous integration server is a Jenkins continuous integration server.
4. The continuous automatic test platform for software quality improvement according to claim 3, wherein the software configuration management system is integrated with Jenkins through Git Plug-in and Subversion Plug-in;
corresponding to GitStack, establishing item setting for each item through a NewItem, build period and Poll SCM in Jenkins, and configuring a script running period; the continuous integration server generates an execution script for each project by utilizing a script batch automatic generation function; jenkins calls an execution script according to the running period through Build-Excute; and the execution script transmits execution parameters to the TestBed and Cobot test software, and the TestBed and the Cobot test each item according to the test rules, the use cases and the transmitted execution parameters and generate a test report.
5. The software quality promotion-oriented continuous automatic test platform according to claim 4, wherein the project resources comprise source code, version libraries, test reports and analysis reports.
6. The continuous automatic test platform for software quality improvement according to claim 5, wherein the continuous integration server generates the execution script through a script batch automatic generation function, and the process of the script batch automatic generation specifically comprises the following steps:
establishing items in batch on a continuous automatic test platform;
designing an execution script;
automatically copying the original scripts to the work catalogs of the projects in batches;
reading the item name;
replacing the difference content between the instance script and the original script in batches;
and generating a specific execution script.
7. The software quality promotion-oriented continuous automatic test platform according to claim 6, wherein the execution process of the execution script comprises the following steps:
setting a working directory in the execution script;
an incremental detection period;
calculating the starting time of the incremental screening;
setting a path of a project to be detected;
creating a set to be tested;
traversing the source file of the item to be tested, judging whether the time is in the increment period, if not, reading the next source file until the end; adding a set to be tested to the source file in the increment period;
transferring parameters to TestBed and Cobot;
executing a test;
and outputting a test report.
8. The software quality enhancement oriented continuous automatic test platform according to claim 7, wherein the process of testing report statistical analysis comprises:
test report files output in a batch traversing manner;
setting an identification character string for identifying the attention item;
analyzing the content of the test report file based on the HTML DOM;
searching a numerical value corresponding to the defect item of the replacing code according to the identifier;
processing the identified test result;
and outputting an analysis result.
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| CN117539791A (en) * | 2023-12-09 | 2024-02-09 | 广州翼辉信息技术有限公司 | Automatic test system of embedded software |
| CN117539791B (en) * | 2023-12-09 | 2024-04-30 | 广州翼辉信息技术有限公司 | Automatic test system of embedded software |
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