CN110647474A - Anti-interference method and device for automatic regression test, computer equipment and storage medium - Google Patents

Anti-interference method and device for automatic regression test, computer equipment and storage medium Download PDF

Info

Publication number
CN110647474A
CN110647474A CN201910936786.0A CN201910936786A CN110647474A CN 110647474 A CN110647474 A CN 110647474A CN 201910936786 A CN201910936786 A CN 201910936786A CN 110647474 A CN110647474 A CN 110647474A
Authority
CN
China
Prior art keywords
random number
tracking identifier
tracking
database
flow
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.)
Withdrawn
Application number
CN201910936786.0A
Other languages
Chinese (zh)
Inventor
高杨
孙道明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Manyun Software Technology Co Ltd
Original Assignee
Jiangsu Manyun Software Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jiangsu Manyun Software Technology Co Ltd filed Critical Jiangsu Manyun Software Technology Co Ltd
Priority to CN201910936786.0A priority Critical patent/CN110647474A/en
Publication of CN110647474A publication Critical patent/CN110647474A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/3668Software testing
    • G06F11/3672Test management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/58Random or pseudo-random number generators
    • G06F7/588Random number generators, i.e. based on natural stochastic processes

Abstract

The invention discloses an anti-interference method, an anti-interference device, computer equipment and a storage medium for an automated regression test, wherein the method comprises the following steps: when recording the flow, recording the tracking identification of the current flow; when a random number is generated, establishing an association relation between a tracking identifier and the random number; when the flow is replayed, acquiring a random number associated with a tracking identifier according to the currently replayed tracking identifier; and carrying out traffic playback according to the random number. The anti-interference scheme of the automatic regression test provided by the embodiment of the invention can record the incidence relation between the tracking identifier and the random number when recording the flow, and determine the random number used by the current flow according to the recorded incidence relation when replaying the flow, so that the replay flow is the same as the random number used when recording the flow, and the reliability of the automatic regression test is improved.

Description

Anti-interference method and device for automatic regression test, computer equipment and storage medium
Technical Field
The embodiment of the invention relates to a regression testing technology, in particular to an anti-interference method and device for an automatic regression test, computer equipment and a storage medium.
Background
With the development of testing technology, automated regression testing has been widely used. In the automatic retest test process, the function parameters replayed when the effect is required to be achieved are the same as the function parameters recorded when the effect is required to be achieved. However, in many cases, the two are not identical, which causes interference in the automated regression test and poor reliability.
Disclosure of Invention
The invention provides an anti-interference method and device for an automated regression test, computer equipment and a storage medium, and aims to improve the reliability of the automated regression test.
In a first aspect, an embodiment of the present invention provides an anti-interference method for an automated regression test, including:
when recording the flow, recording the tracking identification of the current flow;
when a random number is generated, establishing an association relation between a tracking identifier and the random number;
when the flow is replayed, acquiring a random number associated with a tracking identifier according to the currently replayed tracking identifier;
and carrying out traffic playback according to the random number.
In a second aspect, an embodiment of the present invention further provides an anti-interference apparatus for automated regression testing, including:
the recording module is used for recording the tracking identifier of the current flow when the flow is recorded;
the incidence relation establishing module is used for establishing the incidence relation between the tracking identifier and the random number when the random number is generated;
the replay query module is used for acquiring a random number associated with the tracking identifier according to the currently replayed tracking identifier when the flow is replayed;
and the playback execution module is used for carrying out flow playback according to the random number.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the program to implement the interference rejection method for automated regression testing as shown in the first aspect.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions for performing the tamper-resistant method of automated regression testing as shown in the first aspect when executed by a computer processor.
The anti-interference scheme of the automatic regression test provided by the embodiment of the invention can record the tracking identification of the current flow when the flow is recorded; when a random number is generated, establishing an association relation between a tracking identifier and the random number; when the flow is replayed, acquiring a random number associated with a tracking identifier according to the currently replayed tracking identifier; and carrying out traffic playback according to the random number. Compared with the current automatic regression test, the random number value changes every time the random number is executed, which causes test interference. The anti-interference scheme of the automatic regression test provided by the embodiment of the invention can record the incidence relation between the tracking identifier and the random number when recording the flow, and determine the random number used by the current flow according to the recorded incidence relation when replaying the flow, so that the replay flow is the same as the random number used when recording the flow, and the reliability of the automatic regression test is improved.
Drawings
FIG. 1 is a flowchart of an anti-jamming method of automated regression testing according to a first embodiment of the present invention;
FIG. 2 is a flowchart of an anti-jamming method of automated regression testing according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an anti-jamming device for automated regression testing according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
In the process of the automatic flow regression test, f (x) ═ f (x) is needed to achieve the effect that the operation result is consistent whenever the system runs as long as x (flow) is the same. However, f (x) ≠ f (x) in many cases, the reason is that a number sender is sometimes required to obtain a number in the program execution process, the number is also called a random number, the result obtained by the number sender each time is different, the number will affect the response result of the interface function, and if the number sender sends different random numbers in the execution process of the same flow, the test will be disturbed. To achieve f (x) ═ f (x), the noise of the transmitter is eliminated.
The embodiment of the invention provides an anti-interference method for an automatic regression test, which can eliminate the interference of random numbers generated by a sender randomly to the test, and the specific scheme is as follows:
example one
Fig. 1 is a flowchart of an anti-interference method for an automated regression test according to an embodiment of the present invention, where the embodiment is applicable to an automated regression test, and the method may be executed by a computer device for performing the automated regression test, and specifically includes the following steps:
and step 110, recording the tracking identification of the current flow when recording the flow.
The flow rate refers to an input parameter of a measured function, and the measured function may be a functional module, such as a set of a plurality of functions. Assuming that the measured function is f (x), then x is the flow rate. Every time x is input, f (x) is operated in sequence, and the flow is one. In the testing process, the running process of the tested function is recorded, and the recording process comprises the recording of input parameters and the recording of parameters generated in the program running process. For each flow, the regression testing process will generate a trace identification traceID for each flow. The tracking identifier is used to uniquely identify a recording process.
A database may be configured to record the tracking identifier of each flow in the database, and record the random number corresponding to each tracking identifier in subsequent steps.
Step 120, when the random number is generated, the association relationship between the tracking identifier and the random number is established.
In response to the input parameter, the service code of the function under test is called. The input parameters are responded to by executing the service code. In the process of executing the service code, if a sender is called to generate a random number, the association relationship between the tracking identifier of the current flow and the random number is recorded.
In one implementation, step 120 may be implemented by: injecting a first code into a source code for acquiring a random number in service codes by using an instrumentation technology, wherein the first code is used for: writing a tracking identifier and a random number into a database after the random number sent by a sender is obtained; and establishing an association relation between the tracking identification and the random number in a database.
Instrumentation provides the first software package for the JAVA programming language that can be used to edit code. The first code injected in the embodiment only modifies the data of the sender and the data acquisition path of the sender during playback, and does not modify the service code, thereby realizing non-invasive code modification.
After the sender sends out the random number, the association relation between the random number and the tracking identification of the current flow is written into the database, so that the database can record the random number used by the recorded flow, the random number which is the same as that used in recording can be obtained from the database based on the tracking identification subsequently, and the stability in playback is ensured.
And step 130, when the flow is replayed, acquiring a random number associated with the tracking identifier according to the currently replayed tracking identifier.
The playback traffic is to re-execute the function under test based on the recorded input data after recording a series of inputs during the recording of the traffic, and detect whether there is an abnormality in the operation result of the re-executed function under test. If the tested function calls the number sender, the random number associated with the tracking identifier is read from the database based on the current tracking identifier, and further the random number sender is not needed to send the random number, so that the condition that the random number generated during playback is different from the random number generated during recording is avoided.
In the above implementation, step 130 may be implemented by: injecting a second code into a source code for acquiring a random number in the service code by using an instrumentation technology, wherein the second code is used for: modifying the source data of the random number into a database by a sender; and sending the tracking identifier to a database, and inquiring the random number associated with the tracking identifier through the database.
During playback, the code of the function to be tested is read and rewritten by the instrumentation technique. When the trigger sender generates the random number, the tracking identification of the current replay traffic is sent to the database so as to search the random number associated with the tracking identification in the database, and the random number is used as the random number generated by the sender at the time of replay. Thereby quickly and reliably obtaining the same random number as the random number in recording. The non-invasive number recording and playback control is realized by the instrumentation technology.
It should be noted that the random number generated by the sender indicates one form of system parameters, and other system parameters that may have random results may also be recorded in the database during recording, associated with the tracking identifier, and restored based on the database during playback in the manner described above.
And step 140, carrying out flow reproduction according to the random number.
While replaying the function under test, the function under test is run based on the random number acquired in step 130, resulting in a test result.
Further, the method also comprises the following steps: and receiving a service request when recording or retransmitting the flow, and determining a service code in response to the service request.
Optionally, if the measured function is located in the server, the input parameter may be a service request. The service request may be a Representational State Transfer (REST) request or a Remote Procedure Call (RPC) request. The test section takes the service request as an input parameter, responds to the service request and calls a corresponding service code, and the service code is a code of a function to be tested. And returning the operation result of the service code as a test result. And further, the effect of response test on the network test and the request in the server is realized.
The anti-interference method for the automatic regression test provided by the embodiment of the invention can record the tracking identification of the current flow when the flow is recorded; when a random number is generated, establishing an association relation between a tracking identifier and the random number; when the flow is replayed, acquiring a random number associated with a tracking identifier according to the currently replayed tracking identifier; and carrying out traffic playback according to the random number. Compared with the current automatic regression test, the random number value changes every time the random number is executed, which causes test interference. The anti-interference method for the automatic regression test provided by the embodiment of the invention can record the incidence relation between the tracking identifier and the random number when recording the flow, and determine the random number used by the current flow according to the recorded incidence relation when replaying the flow, so that the replay flow is the same as the random number used when recording the flow, and the reliability of the automatic regression test is improved.
Example two
Fig. 2 is a flowchart of an anti-interference method for automated regression testing according to an embodiment of the present invention, which is used to further explain the above embodiment, when a service code runs, a random number may be generated for the request, so that the request number, the tracking identifier, and the random number may be associated, specifically including:
step 210, recording a tracking identifier of the current flow when recording the flow;
step 220, when the random number is generated, the association relationship between the different request times, the tracking identification and the random number is established.
On the basis of the above embodiment, if a service request or an input parameter relates to triggering system parameters such as a sender for multiple times in the execution process, the association relationship between different request times and random numbers is established under the same tracking identifier. For example (tracking identity a, number of requests 1, random number a), (tracking identity a, number of requests 2, random number b), (tracking identity a, number of requests 3, random number c) … (tracking identity N, number of requests N, random number N).
In one implementation, step 220 may be implemented by: injecting a first code into a source code for acquiring a random number in service codes by using an instrumentation technology, wherein the first code is used for: after acquiring the random number sent by the sender, writing a tracking identifier, the random number and the request times into a database; and establishing an association relation among the tracking identification, the request times and the random number in a database.
In the above embodiment, three data of the tracking identifier, the random number, and the number of requests are written into the database so as to establish the association relationship between the tracking identifier, the random number, and the number of requests.
Step 230, determining a random number from the established association according to the tracking identifier and the current number of requests when playing back the traffic.
And when the traffic is replayed, sending the tracking identifier and the current request times to a database so as to search the random number, obtained by the tracking identifier at the current request times, from the database.
In the above implementation, step 230 may be implemented by: injecting a second code into a source code for acquiring a random number in the service code by using an instrumentation technology, wherein the second code is used for: modifying the source data of the random number into a database by a sender; and sending the tracking identification and the request times to a database, and inquiring a random number associated with the tracking identification and the request times through the database.
And 240, carrying out flow reproduction according to the random number.
The anti-interference method for the automatic regression test provided by the embodiment of the invention can record the tracking identification of the current flow when the flow is recorded; when a random number is generated, establishing an association relation between a tracking identifier, a request frequency and the random number; when the flow is replayed, determining a random number from the established relation according to the tracking identifier and the current request times; and carrying out traffic playback according to the random number. Compared with the current automatic regression test, the random number value changes every time the random number is executed, which causes test interference. The anti-interference method for the automatic regression test provided by the embodiment of the invention can record the association relationship between the tracking identifier, the request times and the random number when the flow is recorded, and determine the random number used by the current flow according to the recorded association relationship when the flow is replayed, so that the replay flow is the same as the random number used when the flow is recorded, and the reliability of the automatic regression test is improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an anti-interference apparatus for automated regression testing according to a third embodiment of the present invention, where the apparatus is included in a computer device for performing automated regression testing, and includes: a recording module 31, an association relationship establishing module 32, a playback inquiring module 33 and a playback executing module 34, wherein:
a recording module 31, configured to record a tracking identifier of a current flow during flow recording;
an association relationship establishing module 32, configured to establish an association relationship between the tracking identifier and the random number when the random number is generated;
a replay query module 33, configured to, during a replay of the traffic, obtain a random number associated with the tracking identifier according to the currently replayed tracking identifier;
and a replay execution module 34, configured to perform traffic replay according to the random number.
Further, the association relationship establishing module 32 is configured to:
establishing association relations between different request times, tracking identifiers and random numbers;
accordingly, the replay query module 33 is configured to: and determining a random number from the established relation according to the tracking identifier and the current request times.
Further, the association relationship establishing module 32 is configured to:
injecting a first code into a source code for acquiring a random number in service codes by using an instrumentation technology, wherein the first code is used for:
writing a tracking identifier and a random number into a database after the random number sent by a sender is obtained;
and establishing an association relation between the tracking identification and the random number in a database.
Further, the association relationship establishing module 32 is configured to:
writing a tracking identifier, a random number and request times into a database;
correspondingly, the association relationship between the tracking identifier and the random number is established in the database, and the method comprises the following steps:
and establishing an association relation among the tracking identification, the request times and the random number in a database.
Further, the replay query module 33 is configured to:
injecting a second code into a source code for acquiring a random number in the service code by using an instrumentation technology, wherein the second code is used for:
modifying the source data of the random number into a database by a sender;
and sending the tracking identifier to a database, and inquiring the random number associated with the tracking identifier through the database.
Further, the replay query module 33 is configured to:
and sending the tracking identification and the request times to a database, and inquiring a random number associated with the tracking identification and the request times through the database.
Further, the system comprises a response module, and the corresponding module is used for:
and receiving a service request when recording or retransmitting the flow, and determining a service code in response to the service request.
In the anti-interference device for the automated regression test provided by the embodiment of the invention, the recording and recording module 31 can record the tracking identifier of the current flow when the flow is recorded; when the random number is generated, the association relationship establishing module 32 establishes an association relationship between the tracking identifier and the random number; when the traffic is replayed, the replay query module 33 acquires a random number associated with the tracking identifier according to the tracking identifier currently replayed; the replay execution module 34 performs traffic replay based on the random number. Compared with the current automatic regression test, the random number value changes every time the random number is executed, which causes test interference. The anti-interference scheme of the automatic regression test provided by the embodiment of the invention can record the incidence relation between the tracking identifier and the random number when recording the flow, and determine the random number used by the current flow according to the recorded incidence relation when replaying the flow, so that the replay flow is the same as the random number used when recording the flow, and the reliability of the automatic regression test is improved.
The anti-interference device for the automated regression test provided by the embodiment of the invention can execute the anti-interference method for the automated regression test provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of a computer apparatus according to a fourth embodiment of the present invention, as shown in fig. 4, the computer apparatus includes a processor 40, a memory 41, an input device 42, and an output device 43; the number of processors 40 in the computer device may be one or more, and one processor 40 is taken as an example in fig. 4; the processor 40, the memory 41, the input device 42 and the output device 43 in the computer apparatus may be connected by a bus or other means, and the connection by the bus is exemplified in fig. 4.
The memory 41 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the anti-interference method of the automated regression test in the embodiment of the present invention (for example, the recording module 31, the association relationship establishing module 32, the playback querying module 33, and the playback executing module 34). The processor 40 executes various functional applications and data processing of the computer device by executing software programs, instructions and modules stored in the memory 41, namely, the anti-interference method of the automated regression test described above is realized.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to a computer device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 42 is operable to receive input numeric or character information and to generate key signal inputs relating to user settings and function controls of the computer apparatus. The output device 43 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform an anti-interference method for automated regression testing, where the method includes:
when recording the flow, recording the tracking identification of the current flow;
when a random number is generated, establishing an association relation between a tracking identifier and the random number;
when the flow is replayed, acquiring a random number associated with a tracking identifier according to the currently replayed tracking identifier;
and carrying out traffic playback according to the random number.
Further, establishing an association relationship between the tracking identifier and the random number includes:
establishing association relations between different request times, tracking identifiers and random numbers;
correspondingly, acquiring the random number associated with the tracking identifier according to the currently replayed tracking identifier comprises the following steps:
and determining a random number from the established relation according to the tracking identifier and the current request times.
Further, establishing an association relationship between the tracking identifier and the random number includes:
injecting a first code into a source code for acquiring a random number in service codes by using an instrumentation technology, wherein the first code is used for:
writing a tracking identifier and a random number into a database after the random number sent by a sender is obtained;
and establishing an association relation between the tracking identification and the random number in a database.
Further, writing the tracking identifier and the random number into the database includes:
writing a tracking identifier, a random number and request times into a database;
correspondingly, the association relationship between the tracking identifier and the random number is established in the database, and the method comprises the following steps:
and establishing an association relation among the tracking identification, the request times and the random number in a database.
Further, obtaining a random number associated with the tracking identifier according to the currently played tracking identifier includes:
injecting a second code into a source code for acquiring a random number in the service code by using an instrumentation technology, wherein the second code is used for:
modifying the source data of the random number into a database by a sender;
and sending the tracking identifier to a database, and inquiring the random number associated with the tracking identifier through the database.
Further, sending the tracking identifier to a database, and querying a random number associated with the tracking identifier through the database includes:
and sending the tracking identification and the request times to a database, and inquiring a random number associated with the tracking identification and the request times through the database.
Further, the method also comprises the following steps:
and receiving a service request when recording or retransmitting the flow, and determining a service code in response to the service request. Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the above method operations, and may also perform related operations in the anti-jamming method of the automated regression test provided by any embodiments of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. An anti-interference method for automated regression testing, comprising:
when recording the flow, recording the tracking identification of the current flow;
when a random number is generated, establishing an association relation between the tracking identification and the random number;
when the flow is replayed, acquiring a random number associated with a current replay tracking identifier according to the current replay tracking identifier;
and carrying out traffic playback according to the random number.
2. The method of claim 1, wherein the establishing an association between the tracking identifier and the random number comprises:
establishing association relations between different request times, tracking identifiers and the random numbers;
correspondingly, the obtaining a random number associated with the tracking identifier according to the currently played tracking identifier includes:
and determining a random number from the established relation according to the tracking identifier and the current request times.
3. The method of claim 1, wherein the associating of the tracking identifier with the random number comprises:
injecting a first code into a source code for acquiring a random number in a service code by using an instrumentation technology, wherein the first code is used for:
writing a tracking identifier and the random number into a database after the random number sent by a sender is obtained;
and establishing the association relation between the tracking identification and the random number in the database.
4. The tamper-resistant method for automated regression testing of claim 3, wherein writing a tracking identifier and the random number to a database comprises:
writing a tracking identifier, the random number and the request times into a database;
correspondingly, the establishing of the association relationship between the tracking identifier and the random number in the database includes:
and establishing the association relation among the tracking identification, the request times and the random number in the database.
5. The tamper-resistant method for automated regression testing according to claim 1, wherein said obtaining a random number associated with the tracking identity based on the currently replayed tracking identity comprises:
injecting a second code into a source code of the service code for acquiring the random number by using an instrumentation technology, wherein the second code is used for:
modifying the source data of the random number into a database by a sender;
and sending a tracking identifier to the database, and inquiring the random number associated with the tracking identifier through the database.
6. The method of claim 5, wherein the sending a tracking identifier to the database, querying the database for a random number associated with the tracking identifier comprises:
and sending a tracking identifier and the request times to the database, and inquiring a random number associated with the tracking identifier and the request times through the database.
7. The method of any of claims 3-6, further comprising:
and receiving a service request when recording or retransmitting the flow, and determining a service code in response to the service request.
8. An anti-jamming device for automated regression testing, comprising:
the recording module is used for recording the tracking identifier of the current flow when the flow is recorded;
the incidence relation establishing module is used for establishing the incidence relation between the tracking identification and the random number when the random number is generated;
the replay query module is used for acquiring a random number associated with the tracking identifier according to the currently replayed tracking identifier when the flow is replayed;
and the playback execution module is used for carrying out flow playback according to the random number.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the tamper resistant method of automated regression testing of any one of claims 1-7.
10. A storage medium containing computer executable instructions for performing the tamper-resistant method of automated regression testing of any one of claims 1-7 when executed by a computer processor.
CN201910936786.0A 2019-09-29 2019-09-29 Anti-interference method and device for automatic regression test, computer equipment and storage medium Withdrawn CN110647474A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910936786.0A CN110647474A (en) 2019-09-29 2019-09-29 Anti-interference method and device for automatic regression test, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910936786.0A CN110647474A (en) 2019-09-29 2019-09-29 Anti-interference method and device for automatic regression test, computer equipment and storage medium

Publications (1)

Publication Number Publication Date
CN110647474A true CN110647474A (en) 2020-01-03

Family

ID=69012155

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910936786.0A Withdrawn CN110647474A (en) 2019-09-29 2019-09-29 Anti-interference method and device for automatic regression test, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN110647474A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111294345A (en) * 2020-01-20 2020-06-16 支付宝(杭州)信息技术有限公司 Vulnerability detection method, device and equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111294345A (en) * 2020-01-20 2020-06-16 支付宝(杭州)信息技术有限公司 Vulnerability detection method, device and equipment
CN111294345B (en) * 2020-01-20 2022-03-25 支付宝(杭州)信息技术有限公司 Vulnerability detection method, device and equipment

Similar Documents

Publication Publication Date Title
CN109189665B (en) Method and device for recording, replaying and automatically testing data
WO2015081841A1 (en) Devices and methods for test scenario reproduction
CN111177165B (en) Method, device and equipment for detecting data consistency
CN108268364A (en) Anomalous event back method, device and equipment
CN106713011B (en) Method and system for obtaining test data
WO2019218464A1 (en) Application program testing method and apparatus, and mobile terminal and medium
CN111190827A (en) Interface automation test method and device, storage medium and electronic equipment
CN115080398A (en) Automatic interface test system and method
CN110943862A (en) Mutual exclusion service judgment method and device, electronic equipment and storage medium
CN109802842B (en) Application topology generation method and related equipment
CN116204438A (en) Test case generation method, automatic test method and related device
CN111506496A (en) Test data acquisition method and device, electronic equipment and storage medium
CN110941632A (en) Database auditing method, device and equipment
CN110647474A (en) Anti-interference method and device for automatic regression test, computer equipment and storage medium
CN117194245A (en) Automatic test method, device, equipment and storage medium
CN112235128A (en) Transaction path analysis method, device, server and storage medium
CN106557398B (en) Information reporting method and device
CN111797014A (en) Cross-application case tracking method and device
CN110838929B (en) System error checking method and system error checking device
CN111522749A (en) Page testing method and device, readable storage medium and electronic equipment
CN115276844B (en) Communication module testing method and device, storage medium and electronic equipment
CN116302989A (en) Pressure testing method and system, storage medium and computer equipment
CN111666200A (en) Testing method and terminal for time consumption of cold start of PC software
CN115834443A (en) Flow playback method and device, computer equipment and storage medium
CN112492301B (en) Performance test method and system of IPTV set top box

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
WW01 Invention patent application withdrawn after publication

Application publication date: 20200103

WW01 Invention patent application withdrawn after publication