CN111209218A - Automatic performance testing method based on Jmeter - Google Patents
Automatic performance testing method based on Jmeter Download PDFInfo
- Publication number
- CN111209218A CN111209218A CN202010248639.7A CN202010248639A CN111209218A CN 111209218 A CN111209218 A CN 111209218A CN 202010248639 A CN202010248639 A CN 202010248639A CN 111209218 A CN111209218 A CN 111209218A
- Authority
- CN
- China
- Prior art keywords
- test
- jmeter
- performance test
- performance
- script
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention relates to the technical field of software testing, in particular to a performance automatic testing method based on a Jmeter, which comprises the following steps: s1, defining keywords; s2, defining a test task; s3, defining a performance test scene; s4, selecting a performance test keyword; s5, setting a remote monitoring server; s6, setting a result checking strategy; s7, generating a Jmeter script; s8, running a Jmeter script; s9, ending running of the Jmeter script; s10, generating a performance test report; s11, sending a test report mail, and finishing the test; the invention can quickly, accurately and automatically generate the Jmeter script, thereby improving the readability and the comprehensibility of the script configuration; the multi-node concurrent execution and the single-node execution performance test script are supported, and the performance test fully utilizes each test server under the high concurrent condition, so that the waste of the test servers is avoided; the performance indexes do not need to be counted manually, so that the performance testing efficiency is greatly improved, and the testing result is more accurate; the performance test method has the advantages of simple flow, easy operation and understanding, and capability of reducing the performance test difficulty.
Description
Technical Field
The invention relates to the technical field of software testing, in particular to a performance automatic testing method based on a Jmeter.
Background
As a popular performance testing tool, the meter tool is increasingly applied to performance testing of various servers, software systems, software interfaces, and the like. Generally, compiling, running and result statistics of performance test scripts are manually compiled, run and counted by performance testers, and due to the fact that experience and technical capability of the performance testers are greatly different, and a large number of professional terms and skills which are not easy to master are arranged in a Jmeter tool and the scripts, the threshold of performance tests is high. Meanwhile, due to the diversity and variability of the test requirements, the test script is changed accordingly. Therefore, the manually written Jmeter script and the manually counted test results often have many errors and deviations when actually performing the performance test, resulting in low efficiency, inaccurate test data, and even failure to complete the expected performance test.
In order to solve the problems, some units or individuals also provide some performance semi-automatic testing methods and systems based on a Jmeter tool, the methods and systems can improve the performance testing efficiency to a certain extent, but cannot automatically generate a complete Jmeter testing script, cannot finish the performance testing in a one-click manner, still need to manually operate some links, are complex in system operation flow, are not easy to operate, need to master some technologies, have higher threshold of the performance testing, and do not meet the requirement of reducing the difficulty of the performance testing. In addition, a large amount of error reports or incompatibility of the performance test data and the obtained performance test data statistics are possibly caused in the semi-automatic performance test, so that the performance test result is not ideal, and the Jmeter performance test improvement efficiency is not high.
Disclosure of Invention
The invention aims to provide a performance automatic testing method based on a Jmeter, which improves the performance testing efficiency, has simple operation flow, can monitor various performance indexes and resource use conditions in real time in the execution process, has intuitive test report data display, facilitates the performance testing and reduces the difficulty of the performance testing.
In order to solve the above problems, the present invention provides a method for automatically testing performance based on a Jmeter, which comprises the following steps:
s1, defining keywords: packaging a Jmeter keyword, and setting a keyword name and a parameter name for the packaged keyword;
s2, defining a test task: the method comprises the steps of testing items, sending mails, executing at fixed time, executing time, recipients and senders; whether the test is executed regularly or not can be determined according to actual conditions, and whether a test report is sent in a mailbox mode or not is determined after the test is finished; the method can be executed at any time without manual operation of performance testing personnel, and the set sending mail can send a performance testing report to related personnel after the operation is finished, and does not need manual operation of the testing personnel;
s3, defining a performance test scene: the method comprises the range of performance test and a test strategy, wherein the test strategy comprises the number of concurrent users, execution times, set time and a concurrent user growth mode;
s4, selecting a performance test keyword: selecting the Jmeter keywords packaged in the step S1 and the test task defined in the step S2, and combining the required keywords; the packaged keywords are the minimum set meeting performance tests, and other keywords can be packaged and expanded according to actual requirements; the keyword name is a suggested name, and can be freely appointed according to actual requirements; the keyword parameter is a minimum set required in the meter or an optimized set meeting the minimum set, and can be expanded according to actual requirements; the preset value of the keyword parameter is a suggested value, and other values or no preset value can be specified according to actual requirements.
S5, setting a remote monitoring server: the method comprises the steps of server IP, server type, server application, CPU utilization rate of a monitored server in a test process, memory idle rate, import and export broadband and CPU load;
s6, setting a result checking strategy: the method comprises the steps of TPS, response time, success rate, the number of concurrent users, the utilization rate of a server CPU and the idle rate of a server memory;
s7, generating a Jmeter script: saving the configuration information in the steps S2, S3, S4, S5 and S6, and automatically generating a Jmeter script and a parameter file; the method can run scripts regularly or manually, automatically acquire idle servers under the condition of high concurrency so as to realize remote multi-node concurrent execution of the Jmeter, and simultaneously start a remote monitoring server to monitor and summarize performance test data in real time;
s8, running a Jmeter script: running the Jmeter script generated in the step S7, starting the remote monitoring server set in the step S5 when the running starts, monitoring and summarizing performance test data in real time, automatically distributing idle servers according to the test strategy defined in the step S3, and executing the idle servers by multi-node concurrent test or single-node test, wherein the real-time performance test data comprises TPS, maximum response time, minimum response time, 90% response time, the number of concurrent users, success rate, cpu utilization rate of the monitoring server, disk read-write rate, import and export broadband, cpu load and memory use condition; the real-time performance test data can be displayed as an integral trend graph, and simultaneously, the real-time data of the number of concurrent users, the maximum and minimum, 90% response time, the number of requests, the success rate, tps, 4xx/5xx and the like of each transaction name are also displayed; the multi-node concurrent execution ensures that the number of the executors is automatically controlled to share high concurrent pressure under the condition of high concurrency;
s9, ending the operation of the Jmeter script: ending the operation of the Jmeter script of the step S8, and stopping the remote monitoring server set in the step S5;
s10, generating a performance test report: after step 9, generating a performance test report, wherein the performance test report comprises basic information of a test task, test strategy information, various indexes of a performance test, various indexes of a remote monitoring server and whether a final test is passed; the performance test report shows various indexes of the performance test and a final test result;
s11, sending a test report mail: the performance test report generated at step S10 is sent to the recipient defined at step S2, after which the test ends.
Further, in step S1, the step of encapsulating the Jmeter keyword is to encapsulate the Jmeter keyword using Java or Python language, where the encapsulated Jmeter keyword includes a test plan, an execution plan, an http Cookie manager, an http request default value, an http request, a transaction controller, a simple controller, a conditional branch controller, a loop controller, a regular expression, a CSV file generation file, an upload CSV file, and a back-end listener.
Further, the result checking policy in step S6 may be provided with a plurality of rules for checking whether the performance test reaches the expected result and determining whether the performance test passes.
The method of claim 1, wherein the method comprises the following steps: and step S3, generating a trend graph of the increase of the number of concurrent users after the test strategy is set.
Further, in the step S4, the keyword support is repeatedly selected; in step S4, the keywords support parent-child relationship keywords, that is, one keyword includes a plurality of child keywords as a group of keywords; the http request keywords can be imported in batch through an external excel file, a CSV file and a json file, and the imported parameters comprise parameters and parameter data in the http request keywords.
Further, the performance test data in step S8 is visually displayed as a table, a pie chart, a progress chart, and a graph.
Further, the performance test report generated in step S10 is a PDF file.
The invention has the beneficial effects that: the invention checks each parameter in the aspect of automatically generating the script, avoids script errors caused by data and parameter configuration errors, can quickly and accurately automatically generate the Jmeter script, and improves the readability and the comprehensibility of the script configuration; the running script automatically starts the monitoring service and monitors data in real time so that the performance test data can be checked in real time in the performance test process, and simultaneously, multi-node concurrent execution and single-node execution of the performance test script are supported, so that each test server is fully utilized under the condition of high concurrency of the performance test, and the waste of the test servers is avoided; the automatically generated performance report can intuitively reflect various performance test indexes in the test and the use conditions of the CPU, the memory and the like of the tested server, does not need to count the performance indexes manually, greatly improves the performance test efficiency and ensures that the test result is more accurate; the performance test method is simple in process, easy to operate and understand and capable of reducing the performance test difficulty.
The invention can automatically generate scripts, can execute performance tests regularly or manually, can support multi-node high-concurrency performance tests, can automatically monitor performance test data, can also automatically generate test reports, automatically send mails and the like, and improves the performance test efficiency; the operation flow of the system is simple, various performance indexes and resource use conditions can be monitored in real time in the execution process, test report data is displayed visually, performance test is easier, and the difficulty of the performance test is reduced.
Drawings
FIG. 1 is a schematic view of the structure of the present invention.
Detailed Description
As shown in FIG. 1, the automated performance testing method based on the Jmeter of the present invention includes the following steps:
s1, defining keywords: packaging a Jmeter keyword, and setting a keyword name and a parameter name for the packaged keyword;
s2, defining a test task: the method comprises the steps of testing items, sending mails, executing at fixed time, executing time, recipients and senders; whether the test is executed regularly or not can be determined according to actual conditions, and whether a test report is sent in a mailbox mode or not is determined after the test is finished; the method can be executed at any time without manual operation of performance testing personnel, and the set sending mail can send a performance testing report to related personnel after the operation is finished, and does not need manual operation of the testing personnel;
s3, defining a performance test scene: the method comprises the range of performance test and a test strategy, wherein the test strategy comprises the number of concurrent users, execution times, set time and a concurrent user growth mode;
s4, selecting a performance test keyword: selecting the Jmeter keywords packaged in the step S1 and the test task defined in the step S2, and combining the required keywords; the packaged keywords are the minimum set meeting performance tests, and other keywords can be packaged and expanded according to actual requirements; the keyword name is a suggested name, and can be freely appointed according to actual requirements; the keyword parameter is a minimum set required in the meter or an optimized set meeting the minimum set, and can be expanded according to actual requirements; the preset value of the keyword parameter is a suggested value, and other values or no preset value can be specified according to actual requirements.
S5, setting a remote monitoring server: the method comprises the steps of server IP, server type, server application, CPU utilization rate of a monitored server in a test process, memory idle rate, import and export broadband and CPU load;
s6, setting a result checking strategy: the method comprises the steps of TPS, response time, success rate, the number of concurrent users, the utilization rate of a server CPU and the idle rate of a server memory;
s7, generating a Jmeter script: saving the configuration information in the steps S2, S3, S4, S5 and S6, and automatically generating a Jmeter script and a parameter file; the method can run scripts regularly or manually, automatically acquire idle servers under the condition of high concurrency so as to realize remote multi-node concurrent execution of the Jmeter, and simultaneously start a remote monitoring server to monitor and summarize performance test data in real time;
s8, running a Jmeter script: running the Jmeter script generated in the step S7, starting the remote monitoring server set in the step S5 when the running starts, monitoring and summarizing performance test data in real time, automatically distributing idle servers according to the test strategy defined in the step S3, and executing the idle servers by multi-node concurrent test or single-node test, wherein the real-time performance test data comprises TPS, maximum response time, minimum response time, 90% response time, the number of concurrent users, success rate, cpu utilization rate of the monitoring server, disk read-write rate, import and export broadband, cpu load and memory use condition; the real-time performance test data can be displayed as an integral trend graph, and simultaneously, the real-time data of the number of concurrent users, the maximum and minimum, 90% response time, the number of requests, the success rate, tps, 4xx/5xx and the like of each transaction name are also displayed; the multi-node concurrent execution ensures that the number of the executors is automatically controlled to share high concurrent pressure under the condition of high concurrency;
s9, ending the operation of the Jmeter script: ending the operation of the Jmeter script of the step S8, and stopping the remote monitoring server set in the step S5;
s10, generating a performance test report: after step 9, generating a performance test report, wherein the performance test report comprises basic information of a test task, test strategy information, various indexes of a performance test, various indexes of a remote monitoring server and whether a final test is passed; the performance test report shows various indexes of the performance test and a final test result;
s11, sending a test report mail: the performance test report generated at step S10 is sent to the recipient defined at step S2, after which the test ends.
Further, in step S1, the step of encapsulating the Jmeter keyword is to encapsulate the Jmeter keyword using Java or Python language, where the encapsulated Jmeter keyword includes a test plan, an execution plan, an http Cookie manager, an http request default value, an http request, a transaction controller, a simple controller, a conditional branch controller, a loop controller, a regular expression, a CSV file generation file, an upload CSV file, and a back-end listener.
Further, the result checking policy in step S6 may be provided with a plurality of rules for checking whether the performance test reaches the expected result and determining whether the performance test passes.
The method of claim 1, wherein the method comprises the following steps: and step S3, generating a trend graph of the increase of the number of concurrent users after the test strategy is set.
Further, in the step S4, the keyword support is repeatedly selected; in step S4, the keywords support parent-child relationship keywords, that is, one keyword includes a plurality of child keywords as a group of keywords; the http request keywords can be imported in batch through an external excel file, a CSV file and a json file, and the imported parameters comprise parameters and parameter data in the http request keywords.
Further, the performance test data in step S8 is visually displayed as a table, a pie chart, a progress chart, and a graph.
Further, the performance test report generated in step S10 is a PDF file.
The invention can automatically generate scripts, can execute performance tests regularly or manually, can support multi-node high-concurrency performance tests, can automatically monitor performance test data, can also automatically generate test reports, automatically send mails and the like, and improves the performance test efficiency; the operation flow of the system is simple, various performance indexes and resource use conditions can be monitored in real time in the execution process, test report data is displayed visually, performance test is easier, and the difficulty of the performance test is reduced.
The invention checks each parameter in the aspect of automatically generating the script, avoids script errors caused by data and parameter configuration errors, can quickly and accurately automatically generate the Jmeter script, and improves the readability and the comprehensibility of the script configuration; the running script automatically starts the monitoring service and monitors data in real time so that the performance test data can be checked in real time in the performance test process, and simultaneously, multi-node concurrent execution and single-node execution of the performance test script are supported, so that each test server is fully utilized under the condition of high concurrency of the performance test, and the waste of the test servers is avoided; the automatically generated performance report can intuitively reflect various performance test indexes in the test and the use conditions of the CPU, the memory and the like of the tested server, does not need to count the performance indexes manually, greatly improves the performance test efficiency and ensures that the test result is more accurate; the performance test method is simple in process, easy to operate and understand and capable of reducing the performance test difficulty.
Claims (7)
1. A performance automatic test method based on a Jmeter is characterized in that: the method comprises the following steps:
s1, defining keywords: packaging a Jmeter keyword, and setting a keyword name and a parameter name for the packaged keyword;
s2, defining a test task: the method comprises the steps of testing items, sending mails, executing at fixed time, executing time, recipients and senders;
s3, defining a performance test scene: the method comprises the range of performance test and a test strategy, wherein the test strategy comprises the number of concurrent users, execution times, set time and a concurrent user growth mode;
s4, selecting a performance test keyword: selecting the Jmeter keywords packaged in the step S1 and the test task defined in the step S2, and combining the required keywords;
s5, setting a remote monitoring server: the method comprises the steps of server IP, server type, server application, CPU utilization rate of a monitored server in a test process, memory idle rate, import and export broadband and CPU load;
s6, setting a result checking strategy: the method comprises the steps of TPS, response time, success rate, the number of concurrent users, the utilization rate of a server CPU and the idle rate of a server memory;
s7, generating a Jmeter script: saving the configuration information in the steps S2, S3, S4, S5 and S6, and automatically generating a Jmeter script and a parameter file;
s8, running a Jmeter script: running the Jmeter script generated in the step S7, starting the remote monitoring server set in the step S5 when the running starts, monitoring and summarizing performance test data in real time, automatically distributing idle servers according to the test strategy defined in the step S3, and executing the idle servers by multi-node concurrent test or single-node test, wherein the real-time performance test data comprises TPS, maximum response time, minimum response time, 90% response time, the number of concurrent users, success rate, cpu utilization rate of the monitoring server, disk read-write rate, import and export broadband, cpu load and memory use condition;
s9, ending the operation of the Jmeter script: ending the operation of the Jmeter script of the step S8, and stopping the remote monitoring server set in the step S5;
s10, generating a performance test report: after step 9, generating a performance test report, wherein the performance test report comprises basic information of a test task, test strategy information, various indexes of a performance test, various indexes of a remote monitoring server and whether a final test is passed;
s11, sending a test report mail, and finishing the test: the performance test report generated at step S10 is sent to the recipient defined at step S2, after which the test ends.
2. The method of claim 1, wherein the method comprises the following steps: in step S1, the step of encapsulating the Jmeter keyword is to encapsulate the Jmeter keyword using Java or Python language, where the encapsulated Jmeter keyword includes a test plan, an execution plan, an http Cookie manager, an http request default, an http request, a transaction controller, a simple controller, a conditional branch controller, a cycle controller, a regular expression, a CSV file generation, a CSV file upload, and a back-end listener.
3. The method of claim 1, wherein the method comprises the following steps: the result checking policy in step S6 may be provided with a plurality of policies for checking whether the performance test reaches the expected result and determining whether the performance test passes.
4. The method of claim 1, wherein the method comprises the following steps: and step S3, generating a trend graph of the increase of the number of concurrent users after the test strategy is set.
5. The method of claim 2, wherein the method comprises the following steps: repeatedly selecting a keyword support in the step S4; in step S4, the keywords support parent-child relationship keywords, that is, one keyword includes a plurality of child keywords as a group of keywords; the http request keywords can be imported in batch through an external excel file, a CSV file and a json file, and the imported parameters comprise parameters and parameter data in the http request keywords.
6. The method of claim 1, wherein the method comprises the following steps: the performance test data in the step S8 are visually displayed as a table, a pie chart, a progress chart, and a graph.
7. The method of claim 1, wherein the method comprises the following steps: the performance test report generated in step S10 is a PDF file.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010248639.7A CN111209218A (en) | 2020-04-01 | 2020-04-01 | Automatic performance testing method based on Jmeter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010248639.7A CN111209218A (en) | 2020-04-01 | 2020-04-01 | Automatic performance testing method based on Jmeter |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111209218A true CN111209218A (en) | 2020-05-29 |
Family
ID=70784574
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010248639.7A Pending CN111209218A (en) | 2020-04-01 | 2020-04-01 | Automatic performance testing method based on Jmeter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111209218A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111949545A (en) * | 2020-08-19 | 2020-11-17 | 彩讯科技股份有限公司 | Automatic testing method, system, server and storage medium |
| CN112148599A (en) * | 2020-09-16 | 2020-12-29 | 上海中通吉网络技术有限公司 | Performance pressure measurement method, device and equipment |
| CN112559360A (en) * | 2020-12-22 | 2021-03-26 | 盛银消费金融有限公司 | Code method level-based pressure test method |
| CN112765005A (en) * | 2021-01-21 | 2021-05-07 | 中信银行股份有限公司 | Performance test execution method and system |
| CN112948480A (en) * | 2021-04-21 | 2021-06-11 | 平安好医投资管理有限公司 | Data extraction method and device, electronic equipment and storage medium |
| CN113051158A (en) * | 2021-03-17 | 2021-06-29 | 中国人民解放军国防科技大学 | System-level and link-level multi-index synchronous automatic testing method and system |
| CN113220562A (en) * | 2020-02-06 | 2021-08-06 | 北京沃东天骏信息技术有限公司 | Terminal testing method and device, computer storage medium and electronic equipment |
| CN114268569A (en) * | 2020-09-16 | 2022-04-01 | 中盈优创资讯科技有限公司 | Configurable network operation, maintenance, acceptance and test method and device |
| CN114816956A (en) * | 2022-04-28 | 2022-07-29 | 马上消费金融股份有限公司 | Interface performance test method and device |
| CN114896142A (en) * | 2022-04-25 | 2022-08-12 | 矩阵时光数字科技有限公司 | Performance index optimization method based on JMeter |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130159974A1 (en) * | 2011-12-15 | 2013-06-20 | The Boeing Company | Automated Framework For Dynamically Creating Test Scripts for Software Testing |
| CN108415832A (en) * | 2018-02-07 | 2018-08-17 | 平安科技（深圳）有限公司 | Automatic interface testing method, device, equipment and storage medium |
| CN110502435A (en) * | 2019-07-26 | 2019-11-26 | 广东睿江云计算股份有限公司 | Automated performance testing method and its system based on Jmeter |
-
2020
- 2020-04-01 CN CN202010248639.7A patent/CN111209218A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130159974A1 (en) * | 2011-12-15 | 2013-06-20 | The Boeing Company | Automated Framework For Dynamically Creating Test Scripts for Software Testing |
| CN108415832A (en) * | 2018-02-07 | 2018-08-17 | 平安科技（深圳）有限公司 | Automatic interface testing method, device, equipment and storage medium |
| CN110502435A (en) * | 2019-07-26 | 2019-11-26 | 广东睿江云计算股份有限公司 | Automated performance testing method and its system based on Jmeter |
Non-Patent Citations (2)
| Title |
|---|
| 小叮当爱学习: "JMeter性能测试，完整入门篇", 《HTTPS://WWW.JIANSHU.COM/P/7C0A76C78697》 * |
| 豆姐姐: "Jmeter 之测试片段、Include Controller、模块控制器应用 [6]", 《HTTPS://WWW.CNBLOGS.COM/TUDOU-22/P/11452192.HTML》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113220562A (en) * | 2020-02-06 | 2021-08-06 | 北京沃东天骏信息技术有限公司 | Terminal testing method and device, computer storage medium and electronic equipment |
| CN111949545A (en) * | 2020-08-19 | 2020-11-17 | 彩讯科技股份有限公司 | Automatic testing method, system, server and storage medium |
| CN112148599A (en) * | 2020-09-16 | 2020-12-29 | 上海中通吉网络技术有限公司 | Performance pressure measurement method, device and equipment |
| CN114268569B (en) * | 2020-09-16 | 2023-10-31 | 中盈优创资讯科技有限公司 | Configurable network operation and maintenance acceptance test method and device |
| CN114268569A (en) * | 2020-09-16 | 2022-04-01 | 中盈优创资讯科技有限公司 | Configurable network operation, maintenance, acceptance and test method and device |
| CN112559360A (en) * | 2020-12-22 | 2021-03-26 | 盛银消费金融有限公司 | Code method level-based pressure test method |
| CN112765005A (en) * | 2021-01-21 | 2021-05-07 | 中信银行股份有限公司 | Performance test execution method and system |
| CN113051158A (en) * | 2021-03-17 | 2021-06-29 | 中国人民解放军国防科技大学 | System-level and link-level multi-index synchronous automatic testing method and system |
| CN112948480A (en) * | 2021-04-21 | 2021-06-11 | 平安好医投资管理有限公司 | Data extraction method and device, electronic equipment and storage medium |
| CN112948480B (en) * | 2021-04-21 | 2023-11-14 | 平安好医投资管理有限公司 | Data extraction method, device, electronic equipment and storage medium |
| CN114896142A (en) * | 2022-04-25 | 2022-08-12 | 矩阵时光数字科技有限公司 | Performance index optimization method based on JMeter |
| CN114896142B (en) * | 2022-04-25 | 2024-05-07 | 矩阵时光数字科技有限公司 | JMeter-based performance index optimization method |
| CN114816956A (en) * | 2022-04-28 | 2022-07-29 | 马上消费金融股份有限公司 | Interface performance test method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111209218A (en) | Automatic performance testing method based on Jmeter | |
| EP3278214B1 (en) | Systems and methods for live testing performance conditions of a multi-tenant system | |
| US9015667B2 (en) | Fuzz testing of asynchronous program code | |
| US7941332B2 (en) | Apparatus, system, and method for modeling, projecting, and optimizing an enterprise application system | |
| CN109165168A (en) | A kind of method for testing pressure, device, equipment and medium | |
| CN110287052A (en) | A kind of root of abnormal task determines method and device because of task | |
| CN106844198A (en) | Distributed dispatching automation test platform and method | |
| CN112286806B (en) | Automatic test method and device, storage medium and electronic equipment | |
| WO2019095580A1 (en) | Test method and apparatus, computer device, and readable storage medium | |
| CA2948700A1 (en) | Systems and methods for websphere mq performance metrics analysis | |
| CN113238930B (en) | Method and device for testing software system, terminal equipment and storage medium | |
| CN106933709A (en) | A kind of method of testing and device | |
| US11709758B2 (en) | Enhanced application performance framework | |
| CN115080370B (en) | Software concurrency capability assessment method and device, storage medium and electronic equipment | |
| Liu | Research of performance test technology for big data applications | |
| CN113986746A (en) | Performance test method and device and computer readable storage medium | |
| da Silva et al. | A science-gateway workload archive to study pilot jobs, user activity, bag of tasks, task sub-steps, and workflow executions | |
| CN104106245B (en) | Method and device for managing network connection for use by plurality of application program processes | |
| CN115396352A (en) | CMS server-side protocol testing method, system, equipment and storage medium | |
| Lei et al. | Performance and scalability testing strategy based on kubemark | |
| US20200019382A1 (en) | Constraint programming using block-based workflows | |
| CN106502887A (en) | A kind of stability test method, test controller and system | |
| CN111427793A (en) | Automatic Jmeter script generation method | |
| CN115056234B (en) | RPA controller scheduling method and system based on event-driven and infinite state machine | |
| CN115187131A (en) | Task execution state display method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200529 |
|
| RJ01 | Rejection of invention patent application after publication |