CN117075948B

CN117075948B - Method, equipment and medium for detecting software online

Info

Publication number: CN117075948B
Application number: CN202311320954.6A
Authority: CN
Inventors: 刘雅梦
Original assignee: Alibaba Chengdu Software and Technology Co Ltd
Current assignee: Alibaba Chengdu Software and Technology Co Ltd
Priority date: 2023-10-12
Filing date: 2023-10-12
Publication date: 2023-12-26
Anticipated expiration: 2043-10-12
Also published as: CN117075948A

Abstract

The embodiment of the application provides a method, equipment and medium for detecting software online. The method comprises the following steps: configuring a target interface of target software in advance based on portrait configuration information of the software; after the target software is online in a gray level release mode, interface data of the target software running on a plurality of devices are obtained based on the target interface; performing software portrayal based on the interface data, and determining running condition information of gray release based on the software portrayal information; and feeding back the running condition information to display. The method can establish the association between the released target software and the software portrait, thereby rapidly acquiring the required data and accurately and rapidly determining the problems in the software updating process.

Description

Method, equipment and medium for detecting software online

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method for detecting online software, an electronic device, and a storage medium.

Background

With the development of network technology, networks provide users with more and more services, such as browsing pages through a browser, shopping through Application (APP), playing games, browsing information, social interaction, etc. For example, retail users make purchases through retail shopping APP, including cross-border shopping through cross-border e-commerce APP, and the like. Merchants can also make wholesale shopping, i.e. purchase of goods, raw materials, etc., on line through the APP of B2B (Business-to-Business). Some advertisements, recommended information and the like can be pushed in various types of APP, so that a user can acquire required information more conveniently.

In order to provide better quality of service to each user, each piece of software is generally updated periodically or aperiodically, and is online for the user to use after the update is completed. However, there may be some problems such as incompatibility, poor stability, etc. after the software update, such as flashing back after displaying the open screen advertisement, blocking after accessing some pages, etc. Taking front-end application as an example, most of the update problems are caused by code change, the influence range of faults at the front end is wide, and the user experience is poor.

Therefore, in order to avoid the problem that the update causes a large area, a gray level distribution method is proposed, that is, when the software is used online after the update is completed, the gray level distribution method is opened to a small range for use to determine the update effect of the software, so that the problem that the user use is affected when the software is in a problem in the overall online mode can be reduced.

However, the gray level distribution method has some problems, namely how to measure specific effects of the software in the gray level distribution method is difficult, and the problems generally include the need of manually detecting data such as a system log of the software by a developer and the problem of software fed back by a client, and the problem of incapability of accurately and rapidly determining the software updating process.

Disclosure of Invention

The embodiment of the application provides a software online detection method for accurately and rapidly determining problems in a software updating process.

Correspondingly, the embodiment of the application also provides electronic equipment and a storage medium, which are used for ensuring the realization and the application of the system.

In order to solve the above problems, an embodiment of the present application discloses a method for detecting online software, where the method includes:

configuring a target interface of target software in advance based on portrait configuration information of the software;

after the target software is online in a gray level release mode, interface data of the target software running on a plurality of devices are obtained based on the target interface;

performing software portrayal based on the interface data, and determining running condition information of gray release based on the software portrayal information;

and feeding back the running condition information to display.

Optionally, the configuring the target interface of the target software based on the portrait configuration information of the software in advance includes:

acquiring portrait configuration information of software;

a plurality of portrayal items are determined based on the portrayal configuration information, and a target interface of target software is configured for each portrayal item.

Optionally, the configuring the target interface of the target software for each portrait item includes:

receiving interface configuration information of target software, and determining update content based on the interface configuration information;

and configuring a target interface of each portrait item by adopting the updated content.

Optionally, the portrait item includes at least one of: front-end images, back-end images, front-end and back-end related images, public opinion images, and patrol images;

the method for determining a plurality of portrait items based on the portrait configuration information, and configuring a target interface of target software for each portrait item comprises the following steps:

determining page interface data based on the updated page, and configuring a front-end portrait by adopting the page interface data;

determining back-end interface data based on the updated page, and configuring a back-end portrait by adopting the back-end interface data;

determining association data of a front end and a back end based on the updated page, and configuring front-back end association portraits based on the association data;

determining customer service interface data of customer service, and configuring public opinion images by adopting the customer service interface data;

and determining configuration information of software, and configuring the inspection image based on the configuration information.

Optionally, after the target software is online in the gray level publishing mode, acquiring interface data of the target software running on a plurality of devices based on the target interface includes:

After the target software is online in a gray level release mode, monitoring the target interface;

and when the target software runs on a plurality of devices, acquiring interface data through the target interface.

Optionally, the software portrait based on the interface data, and determining running status information of gray release based on the software portrait information, includes:

based on the interface data matching the portrait items, analyzing the interface data according to a detection mode corresponding to the portrait items, and determining software portrait information;

and determining the running condition information of the target software based on the software portrait information.

Optionally, the analyzing the interface data according to the detection mode corresponding to the portrait item based on the matching portrait item of the interface data to determine the software portrait information includes:

determining a bound portrait item based on a target interface to which the interface data belongs, and determining a detection mode of the portrait item;

analyzing the interface data by adopting the detection mode to determine the analysis result of the portrait item;

and determining the software portrait information of the target software based on the analysis result of each portrait item.

Optionally, the analyzing the interface data by using the detection mode to determine an analysis result of the portrait item includes at least one of the following steps:

performing operation analysis based on the interface data, and determining an analysis result of operation corresponding to the portrait item;

performing contrast analysis based on the interface data, and determining a contrast analysis result;

and analyzing the interface data according to the priority of the target interface, and determining an analysis result.

Optionally, the performing the comparative analysis based on the interface data, determining a comparative analysis result includes:

performing comparison analysis according to time, comparing the interface data with first interface data with set time, and determining a time comparison result;

and comparing the interface data with the second interface data of the set version according to the version to determine a version comparison result.

Optionally, the determining the running condition information of the target software based on the software portrait information includes at least one of the following steps:

determining fault information of target software based on an analysis result of corresponding operation of the portrait item;

and determining the data operation information of the target software based on the comparison analysis result.

Optionally, the feeding back the operating condition information includes:

generating a push message based on the feedback of the running condition information, wherein the push message comprises a page entry of a page displaying the running condition information;

and sending the push message to a corresponding user so that the user can check the running condition information through the page entry.

Optionally, the method further comprises:

release attention information and history issue data are determined in advance, and portrait configuration information is determined based on the release attention information and history issue data.

Optionally, the determining, in advance, release attention information and historical problem data, and determining portrait configuration information based on the release attention information and the historical problem data includes: determining the dimension of attention required in the process of upgrading the software based on the release attention information; determining items of which dimensions frequently occur based on the historical problem data; and determining portrait items based on the dimensions and the items, and generating portrait configuration information.

The embodiment of the application also discloses a method for detecting the online of the software, wherein the method comprises the following steps:

providing a first page, the first page including a configuration control;

determining interface configuration information in response to triggering of the configuration control;

Transmitting the interface configuration information to configure a target interface of target software based on the portrait configuration information of the software;

after the target software is online in a gray level release mode, receiving running condition information;

and displaying the running condition information on a second page.

Optionally, displaying the running condition information on a second page includes:

displaying version information and flow duty ratio through a flow panel;

and displaying early warning information through the stability panel.

The embodiment of the application also discloses electronic equipment, which comprises: a processor, and a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored by the memory to implement the methods as described in embodiments of the present application.

The embodiment of the application also discloses a computer readable storage medium, wherein computer executable instructions are stored in the computer readable storage medium, and the computer executable instructions are used for realizing the method according to the embodiment of the application when being executed by a processor.

Compared with the prior art, the embodiment of the application has the following advantages:

according to the method and the device, the target interface of the target software is configured in advance based on the portrait configuration information of the software, so that the released target software and the software portrait can be associated, after the target software is online in a grey level release mode, interface data of the target software running on a plurality of devices are obtained based on the target interface, so that required data are quickly obtained, then the software portrait is carried out based on the interface data, the running condition of the software is known, and further, the running condition information of grey level release is determined based on the software portrait information, so that the problem in the software updating process can be accurately and quickly determined, and the running condition information can be fed back to be displayed, so that the problem can be more intuitively checked, and the subsequent updating and adjustment are facilitated.

Drawings

FIG. 1 is a flow chart of steps of an embodiment of a method for detecting software online in the present application;

FIG. 2 is a flow chart of steps of another embodiment of a method for detecting software online in the present application;

FIG. 3 is a schematic diagram of a multi-layer architecture for software grayscale distribution according to an embodiment of the present application;

FIG. 4 is a flow chart of steps of an alternative embodiment of a method for detecting software online in the present application;

fig. 5 is a schematic structural view of an exemplary apparatus provided in one embodiment of the present application.

Detailed Description

In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.

The embodiment of the application can be applied to a scene of online release of software, and the software can comprise various browsers, APP and the like. After the software is updated, the software can be online in a gray level release mode. Gray scale distribution (also known as canary distribution) refers to a distribution pattern that enables smooth transitions between black and white. Gray release can be realized through A/B test (testing), namely, a part of users continue to use the software of the current A version, a part of users start to use the software of the updated B version, and if the users have no problem on the use of the software of the B version, the range can be gradually expanded until the software of the B version is comprehensively on line. The gray level release can ensure the stability of the whole system, and the problems can be found and adjusted during the initial gray level so as to ensure the influence degree. However, the gray level distribution method cannot accurately and rapidly determine the problem in the software updating process.

In the embodiment of the application, in order to solve the problem that the gray release mode cannot accurately and rapidly determine the software updating process, the mode of the software portrait is provided, and the software portrait is defined by combining big data analysis, so that the updated software is configured according to the definition of the software portrait, data are acquired in gray release and the portrait analysis is performed on the software, and the analysis result is displayed, so that the problem of accurately and rapidly positioning and updating can be solved, and further the updating efficiency of the software can be possibly improved.

Referring to fig. 1, a flowchart illustrating steps of an embodiment of a method for detecting software online is shown.

Step S102, configuring a target interface of target software in advance based on portrait configuration information of the software.

Portraits, as their name implies, are drawn portraits, and software portraits can be understood as being drawn portraits for software. For face portraits, the head, face, five sense organs and the like of a person are usually drawn, correspondingly, the software portraits are drawn based on the characteristics of the software, and the specific drawn characteristics can be determined based on the type of the software and the requirements of a user.

In the embodiment of the application, the software portrait can be defined by analyzing big data of the development, dimension and gray level release process of the software. In one example, the representation items of the software representation include at least one of: front-end images, back-end images, front-end and back-end related images, public opinion images, and patrol images. The front-end portrait refers to portrait for a front-end Interface of software, for example, an Interface, a UI (User Interface) control, etc. which needs to be detected by the front-end are configured. The back-end portrait refers to a portrait of the back-end code of the software, for example, a service, an interface, etc. which needs to be monitored by the back-end are configured. The front-end and back-end association portrayal refers to the front-end and back-end association portrayal of software, and usually, the operation of the front-end of the software needs the support of back-end codes, and the running condition of the software, such as whether front-end data is correctly executed in the back-end, can be determined through the front-end and back-end association. The public opinion portrait refers to a portrait aiming at the feedback problem of the user, and can be configured based on customer service, fault reporting interfaces and the like. The inspection image refers to an image obtained by periodically inspecting software, and the inspection UI can be determined based on updated contents and the image can be arranged.

In the embodiment of the present application, the image configuration information of the software is information of configuration required for the software image, the image configuration information can be understood as general configuration information, and the information required for the target software image can be determined by configuring the information. In the embodiment of the application, large data analysis is performed in advance for the development, dimension and gray level release process of software, and data of attention required by a software portrait is analyzed, wherein release attention information and historical problem data can be determined in advance, and portrait configuration information is determined based on the release attention information and the historical problem data. The release attention information may be determined based on information that the developer user focuses on in the release process, for example, the attention information in the release process of the developer is collected in advance, for example, based on a technical manual observed manually before, or determined by the developer submitting, etc. The historical issue data may be determined based on issues that historically occurred with the software upgrade. Further, the distribution attention information and the history problem data are analyzed to determine the portrait configuration information of the required portrait in the software gray level distribution process. The dimension of attention required in the software upgrading process can be determined based on the release attention information, such as front end, back end and association thereof, problem feedback and the like, items with dimension frequently appearing are determined based on the history problem data, further portrait items are determined, corresponding portrait configuration information is generated, and therefore observation dimension of software such as application and the like can be defined, and portraits are layered.

Therefore, for a certain target software to be released by upgrading, the target interface of the target software can be configured based on the portrait configuration information of the software. The portrait configuration information of the software can be obtained; a plurality of portrayal items are determined based on the portrayal configuration information, and a target interface of target software is configured for each portrayal item. A plurality of portrait items are determined based on the portrait configuration information, namely portrait items of each dimension required by the software portrait are determined, a target interface of target software can be configured according to the portrait items, and the association between each portrait item and the interface of the target software is established, so that required data can be conveniently acquired for portrait. In an alternative embodiment, interface configuration information of the target software may be received, updated content may be determined based on the interface configuration information, and image items may be matched and configured based on the updated content.

In another optional embodiment, the determining a plurality of portrait items based on the portrait configuration information configures a target interface of target software for each portrait item, including at least one of the following steps:

determining page interface data based on the updated page, and configuring a front-end portrait by adopting the page interface data; and determining an updated page and page interface data of the page from the updating information of the target software, and configuring a first interface corresponding to the front-end portrait by adopting the page interface data, so that required data, such as an interface of the front-end page or an interface of each control in the front-end page, can be obtained through the first interface.

Determining back-end interface data based on the updated page, and configuring a back-end portrait by adopting the back-end interface data; and determining an updated page and back-end interface data of the page, such as interface data corresponding to a back-end updated code, from the update information of the target software, and configuring a second interface corresponding to the back-end portrait by adopting the back-end interface data, so that required data, such as interfaces of various functions and services of the back-end code, can be obtained through the second interface.

Determining association data of a front end and a back end based on the updated page, and configuring front-back end association portraits based on the association data; the front end and the back end of the software are associated, and the front end function of the back end is realized, so that when the software is portrayed, the association condition of the front end and the back end also needs to be determined. The updated page can be determined based on the updated information, the association data of the front end and the back end is determined based on the updated page, the association data of the front end and the back end is included, for example, the front end calls the interface of the service to the back end, the data returns the interface, and the like, and the front end and the back end association portrait is configured by adopting the association data, so that the cooperation data of the front end and the back end can be acquired, and whether the functions are normal or not is determined.

Determining customer service interface data of customer service, and configuring public opinion images by adopting the customer service interface data; an interface associated with the customer service may also be invoked, the customer service interface comprising: error reporting interface, customer access interface, etc., wherein, error reporting interface refers to the interface of reporting error, problem in software, customer access interface refers to the interface of user calling customer service, through these interface configuration, can obtain the return data of user in the gray level release process of this software.

And determining configuration information of software, and configuring the inspection image based on the configuration information. The test script can be configured based on the updated information of the software, the software configuration information is determined based on the test script, and the inspection portrait is configured based on the configuration information, so that corresponding data can be obtained when the test script automatically tests the software.

Through the configuration of the portrait configuration information, the software can be associated with a software portrait tool, so that data can be automatically acquired for portrait analysis after subsequent release. The software representation tool may be various tools capable of performing analysis, such as an analysis engine and a detection model.

Step S104, after the target software is online in a gray level release mode, interface data of the target software running on a plurality of devices are obtained based on the target interface.

After the software is upgraded and the portrait is configured, the target software can be online in a gray level release mode, wherein the gray level release range of the target software can be determined based on requirements, for example, users with set proportions are screened according to certain conditions, for example, users meeting certain conditions are screened from online users, and the like. For these users, prompt messages and the like are sent, and after confirmation of the users, the software can be upgraded to the users to experience new versions of software.

In the process of experiencing the new version of software, the user can acquire the data of software operation through the target interfaces based on the target interfaces configured for the software portrait. In this case, for example, the software may be run in a plurality of user devices, so that interface data running on the respective devices can be acquired via the target interface.

In an optional embodiment, after the target software is online in the gray level publishing mode, obtaining interface data of the target software running on a plurality of devices based on the target interface includes: after the target software is online in a gray level release mode, monitoring the target interface data; and when the target software runs on a plurality of devices, acquiring target interface data through the target interfaces. And after the target software is online in a gray level release mode, monitoring each target interface based on the configuration of the software portrait, so that when the software runs on each device, the target interface data is obtained through the target interfaces.

Therefore, the required data can be automatically acquired based on the interface, the system log does not need to be checked manually, and the data acquisition efficiency is improved.

And step S106, performing software portrayal based on the interface data, and determining running condition information of gray distribution based on the software portrayal information.

After the interface data is obtained, software portrayal can be performed based on the interface data, namely, the conditions of front end, rear end, front and rear end association, public opinion and inspection in the online running process of the software are described based on the interface data, so that the running condition of the software can be analyzed based on the software portrayal information.

In an alternative embodiment, performing a software portrait based on the interface data, determining running status information of gray release based on the software portrait information, including: based on the interface data matching the portrait items, analyzing the interface data according to a detection mode corresponding to the portrait items, and determining software portrait information; and determining the running condition information of the target software based on the software portrait information. Determining a bound portrait item based on a target interface to which interface data belongs, determining a detection mode of the portrait item, analyzing the interface data by adopting the detection mode, determining an analysis result of the portrait item, and determining software portrait information of target software based on the analysis result of each portrait item. Therefore, the interface data can be corresponding to each portrait item, the corresponding analysis result is determined by adopting a detection mode corresponding to the portrait item, the analysis result of each portrait item is synthesized, the software portrait information can be obtained, and the portrait of the updated software can be determined.

In one example of the application, operation analysis can be performed based on the interface data, and the operation condition of the portrait item is determined, so that a corresponding analysis result is obtained. The running condition of the portrait items, such as the running condition of the front end and the running condition of the rear end, is analyzed based on the interface data, and the overall running condition of the software is analyzed based on the association of the front end and the rear end, so that whether the software runs normally or not, such as the request and the return time of the interface data, and whether the interface data can return normally or not is analyzed, and whether the software fails or not is analyzed. The interface calling condition can be analyzed based on the interface data to obtain a corresponding link analysis result, so that the interface calling condition can be analyzed based on the association relation of the front end and the rear end, whether the returned data of the interface call is accurate or not can be determined, and the corresponding analysis result is obtained.

In another example, a comparative analysis may be performed based on the interface data, and a comparative analysis result may be determined. If the comparison analysis is carried out according to the time, the interface data is compared with the first interface data with the set time, and a time comparison result is determined; and comparing the interface data with the second interface data of the set version to determine a version comparison result. The analysis result can be determined by comparing and analyzing the interface data, wherein each interface corresponds to the returned basic data, and the interface data and the basic data can be compared. In some examples, dolby may be performed based on time, such as comparing interface data with interface data from the same time period of the previous day, and such as comparing interface data with interface data from the same time period of the previous week, where the same time period refers to the same time period, as is data from 9 pm, etc. The comparison can be performed according to the version, for example, the interface data is compared with the interface data before release, for example, the interface data is compared with the interface data of the previous version, for example, the interface data is compared with the interface data of the previous release, and for example, the interface data is compared with the interface data of the previous release, so as to determine the corresponding analysis result.

In another example, the interface data is analyzed according to the priority of the target interface, and the analysis result is determined. Among the target interfaces, some interfaces may cause serious operational problems, while some interfaces may be caused by only individual users due to devices and the like. Therefore, the interface data can be prioritized and analyzed according to the priority order, so that the problem can be quickly queried. For example, based on the interface data of the public opinion portrait, the software crash and the like are determined as the interface data with high priority, the report katon and the like are determined as the interface data with low priority, and the analysis is performed according to the priority order.

Therefore, the analysis results corresponding to the image items can be determined, the analysis results of the image items are integrated, and the software image information of the target software can be determined. The software portrayal information may include various information such as the operation of the target software, the comparison result, and the like.

The operating condition information of the target software can then be determined based on the software portrayal information, fault information can be determined based on the software portrayal information and the fault location can be located, based on comparison, etc. Determining running condition information of the target software based on the software portrait information, wherein the running condition information comprises at least one of the following steps: determining fault information of target software based on an analysis result of corresponding operation of the portrait item; and determining the data operation information of the target software based on the comparison analysis result.

And determining whether the target software fails or not based on the running analysis result, and obtaining corresponding failure information. The method can determine the execution condition of the target software on the link based on the running analysis result, such as the execution condition of the front-end interface calling the back-end interface, whether the data feedback is accurate, and the like, and determine the running fault of the software. The location of the fault may also be located, the possible cause of the fault analyzed, etc.

Based on the comparison analysis result determined by the comparison analysis, the running conditions before and after the software is on line and the running conditions in different versions can be determined, so that the running information of data such as running states and the like, such as normal running, abnormal data and the like, can be determined. For example, an exception may occur based on the comparison file discovery data, and for example, the comparison file discovery data is completely consistent, possibly due to a problem with an interface call, etc.

In the embodiment of the application, the early warning information can be determined based on the software portrait information, and the running condition information is generated based on the early warning information. And positioning the faults of the software based on the software portrayal information, generating fault early warning information based on the faults, and generating abnormal early warning information after the data is abnormal based on the software portrayal information.

Therefore, the running condition of the software can be analyzed based on the software image, interface data can be obtained in real time for analysis in the gray level release process, and the recognition efficiency of the abnormality in the release process is improved.

Step S108, feeding back the operation condition information for display.

The running condition information can be sent to a user, such as a research and development user, so that the user can display the running condition information and intuitively know the running condition in the software gray level release process.

In the embodiment of the application, in order to facilitate the user to know the operation condition as soon as possible, after the operation condition information is determined, the information is pushed through the application of the office and communication class, for example, an employee system of an enterprise can push the information to the corresponding user, so that the user can not only know the information in time, but also jump to the corresponding page for viewing through the entrance of the pushed information.

In the embodiment of the application, when a large fault exists in software operation, such as incapability of operating on most equipment, a great amount of feedback of users is problematic, the software frequently flashes back, crashes and the like, the gray release of the software can be stopped for repairing, and the software with the gray version correspondingly rolls back to the current formal version.

In summary, the target interface of the target software is configured in advance based on the portrait configuration information of the software, so that the released target software and the software portrait can be associated, after the target software is online in a grey level release mode, the interface data of the target software running on a plurality of devices are acquired based on the target interface, so that required data are quickly acquired, then the software portrait is performed based on the interface data, the running condition of the software is known, and further the running condition information of grey level release is determined based on the software portrait information, so that the problem in the software updating process can be accurately and quickly determined, and the running condition information can be fed back for display, so that the problem can be more intuitively checked, and the subsequent updating and adjustment are facilitated.

On the basis of the embodiment, the embodiment of the application also provides a workbench for developing and publishing the software, and the workbench comprises various pages, so that a user can develop and maintain the software conveniently.

Referring to fig. 2, a flowchart of steps of another embodiment of a method for detecting software online of the present application is shown.

Step S202, a first page is provided, wherein the first page comprises configuration controls.

The workbench provides various pages required for software development and maintenance, such as development pages, update pages, release pages and the like. Wherein the issue page may be the first page, or other update configuration page, etc. The first page comprises a configuration control, and the configuration control is used for carrying out portrait configuration of software.

And step S204, responding to the trigger of the configuration control, and determining interface configuration information.

In some examples, the configuration control may be an automatically matched control, such as a confirmation control, and triggering the configuration control may automatically invoke the corresponding information of the software update to determine the corresponding interface configuration information.

In other examples, the configuration controls may include one or more controls, which may be in various forms, such as input controls, selection controls, and the like, as may be desired for rendering various configurations. In response to triggering the configuration control, page interface data of the software front end may be determined, e.g., in response to triggering the configuration control, a page identification of the updated page is determined, and corresponding page interface data is determined based on the page identification. In response to the triggering of the configuration control, each back-end interface data of the software back-end code can be confirmed, for example, the page code is confirmed based on the page identification, then the back-end interface data is confirmed, or the needed back-end interface data is directly obtained, and the associated data of the front end and the back end can be confirmed.

In response to triggering the configuration control, customer service interface data, such as customer service interface data associated with the target software, etc., may be determined. After the software is online, testing is performed, for example, inspection is performed on the UI, and accordingly configuration information of the test script can be obtained. Thereby obtaining configuration information of each interface.

Step S206, the interface configuration information is sent to configure the target interface of the target software based on the portrait configuration information of the software.

The interface configuration information can be sent to a system for issuing the software update, such as a cloud platform for software hosting, an issuing engine, a detection platform for managing the software issuing, and the like, and can be determined based on the actual requirements of the software.

The corresponding system platform can receive the interface configuration information to perform software portrayal configuration, so that an analysis engine and a detection model of the software portrayal configure the portrayal configuration information based on the interface configuration information to establish association with an interface of target software.

Step S208, after the target software is online in a gray level release mode, the running condition information is received.

After the target software is online in a gray level release mode, the data can be collected, detected and analyzed in the mode to obtain corresponding running condition information. Corresponding operation condition information is returned, and the corresponding workbench can receive the operation condition information.

And step S210, displaying the running condition information on a second page.

The second page user displays the online release of the software, so that the running condition information can be displayed on the second page.

In this embodiment of the present application, the second page may be one or more pages, so as to display various status information of the software corresponding to the gray release. A page or view may display the traffic condition of the software, referred to as a traffic display page or traffic panel, etc. Version information and flow conditions of the software gray level release can be displayed. In one example, version information of the software release in grayscale, and version information of the current formal version may be displayed. And correspondingly, displaying the flow ratio of the release version of the software gray scale and the ratio of the formal version.

The stability of the software running may be displayed by a page or view, for example, referred to as a stability page or stability panel, etc. The condition of software stability can be displayed in the page or the panel, for example, various faults possibly existing in the software, such as front-end faults, back-end faults and the like, and software problems, access quantity and the like of customer service feedback. And each early warning message can be displayed, and early warning is carried out aiming at the item with the problem, so that the fault is rapidly positioned.

In this embodiment of the present application, the second page may continuously display the release condition of the software, for example, display the flow rate duty ratio, the flow rate change, and the like through a line graph, a bar graph, and the like.

According to the embodiment of the application, based on the gray level release capability of the front end, the data can be uniformly closed up, comprehensive analysis is performed, data noise is reduced, automatic analysis of the system is realized to replace manual analysis, and omission is reduced. Through the flow distribution and the early warning information of the visual gray scale process, the platform flow is simultaneously automated, the man-machine cooperation is met, the data closed loop optimization is formed, the stability attention degree of the front gray scale process can be greatly reduced, and the efficiency of stable delivery of the demand is improved.

On the basis of the embodiment, the embodiment of the application provides a software online detection method which can be divided into a plurality of dimensions and levels for release and detection.

As shown in FIG. 3, the image analysis layer comprises an image configuration and an image analysis layer, wherein the image configuration can be configured by software, such as image configuration information. Portrayal analysis can analyze the software gray scale distribution process. The software distribution layer distributes software, including risk monitoring and flow interaction in the distribution process, including monitoring of various interfaces. The portrait analysis can be based on risk monitoring, and the analysis result is fed back to the process interaction, wherein the interaction can comprise abnormal interception, prompt and the like aiming at software release, and also comprises the normal operation of expanding the gray scale range based on indication and the like. The display layer can display the software running condition obtained by portrait analysis.

Accordingly, the software online detection process may perform the steps shown in fig. 4 below.

Step S402, image configuration information of the software is acquired.

Step S404, a plurality of portrait items are determined based on the portrait configuration information, and a target interface of target software is configured for each portrait item.

The portrait item includes at least one of the following: front-end images, back-end images, front-end and back-end related images, public opinion images, and patrol images; the method for determining a plurality of portrait items based on the portrait configuration information, and configuring a target interface of target software for each portrait item comprises the following steps: determining page interface data based on the updated page, and configuring a front-end portrait by adopting the page interface data; determining back-end interface data based on the updated page, and configuring a back-end portrait by adopting the back-end interface data; determining association data of a front end and a back end based on the updated page, and configuring front-back end association portraits based on the association data; determining customer service interface data of customer service, and configuring public opinion images by adopting the customer service interface data; and determining configuration information of software, and configuring the inspection image based on the configuration information.

Step S406, after the target software is online in a gray level release mode, the target interface line is monitored.

In step S408, when the target software runs on a plurality of devices, the interface data is acquired through the target interface.

Step S410, determining the detection mode of the portrait item based on the target interface to which the interface data belongs to determine the bound portrait item.

And step S412, analyzing the interface data by adopting the detection mode to determine the analysis result of the portrait item.

The interface data is analyzed by adopting the detection mode, and the analysis result of the portrait item is determined, which comprises at least one of the following steps: performing operation analysis based on the interface data, and determining an analysis result of operation corresponding to the portrait item; performing contrast analysis based on the interface data, and determining a contrast analysis result; and analyzing the interface data according to the priority of the target interface, and determining an analysis result.

Step S414, determining the software portrait information of the target software based on the analysis result of each portrait item.

Step S416, based on the software portrait information, determining the running status information of the target software.

Determining running condition information of the target software based on the software portrait information, wherein the running condition information comprises at least one of the following steps: determining fault information of target software based on an analysis result of corresponding operation of the portrait item; and determining the data operation information of the target software based on the comparison analysis result.

Step S418 generates a push message based on the feedback of the operation status information, where the push message includes a page entry of a page displaying the operation status information.

Step S420, sending the push message to the corresponding user, so that the user views the running status information through the page entry.

In the embodiment of the application, the flow information, the early warning information and the like in the gray scale process are displayed through the unified panel or page, so that a user is helped to perform problem analysis in the release process, and the problem analysis cost of the user is reduced. Meanwhile, possible release problems are intercepted, and release risks are reduced.

It should be noted that, in the embodiments of the present application, the use of user data may be involved, and in practical applications, user specific personal data may be used in the schemes described herein within the scope allowed by applicable legal regulations in the country where the applicable legal regulations are met (for example, the user explicitly agrees to the user to actually notify the user, etc.).

It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments and that the acts referred to are not necessarily required by the embodiments of the present application.

On the basis of the above embodiment, this embodiment further provides a device for detecting online software, which is applied to electronic devices such as a server device, and the device includes:

the interface configuration module is used for configuring a target interface of target software in advance based on portrait configuration information of the software;

the release monitoring module is used for acquiring interface data of the target software running on a plurality of devices based on the target interface after the target software is online in a gray level release mode;

the analysis module is used for carrying out software portrayal based on the interface data and determining running condition information of gray release based on the software portrayal information;

and the feedback module is used for feeding back the running condition information to display.

Optionally, the interface configuration module is used for acquiring portrait configuration information of the software; a plurality of portrayal items are determined based on the portrayal configuration information, and a target interface of target software is configured for each portrayal item.

Optionally, the interface configuration module is configured to receive interface configuration information of the target software, and determine update content based on the interface configuration information; and configuring a target interface of each portrait item by adopting the updated content.

the interface configuration module is used for determining page interface data based on the updated page and configuring a front-end portrait by adopting the page interface data; determining back-end interface data based on the updated page, and configuring a back-end portrait by adopting the back-end interface data; determining association data of a front end and a back end based on the updated page, and configuring front-back end association portraits based on the association data; determining customer service interface data of customer service, and configuring public opinion images by adopting the customer service interface data; and determining configuration information of software, and configuring the inspection image based on the configuration information.

Optionally, the release monitoring module is configured to monitor the target interface after the target software is online in a gray release manner; and when the target software runs on a plurality of devices, acquiring interface data through the target interface.

Optionally, the analysis module is used for analyzing the interface data according to a detection mode corresponding to the portrait item based on the interface data matching the portrait item, and determining software portrait information; and determining the running condition information of the target software based on the software portrait information.

Optionally, the analysis module is configured to determine a bound portrait item based on a target interface to which the interface data belongs, and determine a detection mode of the portrait item; analyzing the interface data by adopting the detection mode to determine the analysis result of the portrait item; and determining the software portrait information of the target software based on the analysis result of each portrait item.

Optionally, the analysis module is used for performing operation analysis based on the interface data and determining an analysis result of operation corresponding to the portrait item; performing contrast analysis based on the interface data, and determining a contrast analysis result; and analyzing the interface data according to the priority of the target interface, and determining an analysis result.

Optionally, the analysis module is configured to perform comparison analysis according to time, compare the interface data with the first interface data with a set time, and determine a time comparison result; and comparing the interface data with the second interface data of the set version according to the version to determine a version comparison result.

Optionally, the analysis module is used for determining fault information of the target software based on an analysis result of the corresponding operation of the portrait item; and determining the data operation information of the target software based on the comparison analysis result.

Optionally, the feedback module is configured to generate a push message based on the feedback of the running condition information, where the push message includes a page entry for displaying a page of the running condition information; and sending the push message to a corresponding user so that the user can check the running condition information through the page entry.

Optionally, the method further comprises: the presetting module is used for presetting release attention information and historical problem data and determining portrait configuration information based on the release attention information and the historical problem data.

Optionally, the preset module is configured to determine a dimension of interest required in the software upgrading process based on the release interest information; determining items of which dimensions frequently occur based on the historical problem data; and determining portrait items based on the dimensions and the items, and generating portrait configuration information.

On the basis of the above embodiment, this embodiment further provides a device for detecting online software, which is applied to electronic devices such as a user terminal device, and the device includes:

the page providing module is used for providing a first page, and the first page comprises a configuration control;

the configuration module is used for responding to the triggering of the configuration control and determining interface configuration information;

the sending module is used for sending the interface configuration information to configure a target interface of target software based on the portrait configuration information of the software;

the receiving module is used for receiving the running condition information after the target software is online in a gray level release mode;

and the display module is used for displaying the running condition information on the second page.

Optionally, the display module is configured to display version information and a traffic ratio through a traffic panel; and displaying early warning information through the stability panel.

The embodiment of the application also provides a non-volatile readable storage medium, where one or more modules (programs) are stored, where the one or more modules are applied to a device, and the device may be caused to execute instructions (instractions) of each method step in the embodiment of the application.

Embodiments of the present application also provide a computer-readable storage medium having stored therein computer-executable instructions that, when executed by a processor, are configured to implement a method according to embodiments of the present application.

The embodiment of the application also provides electronic equipment, which comprises: a processor, and a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored by the memory to implement the methods as described in embodiments of the present application. In this embodiment of the present application, the electronic device includes a server, a terminal device, and other devices.

Embodiments of the present disclosure may be implemented as an apparatus for performing a desired configuration using any suitable hardware, firmware, software, or any combination thereof, which may include a server (cluster), terminal, or the like. Fig. 5 schematically illustrates an example apparatus 500 that may be used to implement various embodiments described herein.

For one embodiment, fig. 5 illustrates an example apparatus 500 having one or more processors 502, a control module (chipset) 504 coupled to at least one of the processor(s) 502, a memory 506 coupled to the control module 504, a non-volatile memory (NVM)/storage 508 coupled to the control module 504, one or more input/output devices 510 coupled to the control module 504, and a network interface 512 coupled to the control module 504.

The processor 502 may include one or more single-core or multi-core processors, and the processor 502 may include any combination of general-purpose or special-purpose processors (e.g., graphics processor, application processor, baseband processor, etc.). In some embodiments, the apparatus 500 can be used as a server, a terminal, or the like in the embodiments of the present application.

In some embodiments, the apparatus 500 can include one or more computer-readable media (e.g., memory 506 or NVM/storage 508) having instructions 514 and one or more processors 502 in combination with the one or more computer-readable media configured to execute the instructions 514 to implement the modules to perform the actions described in this disclosure.

For one embodiment, the control module 504 may include any suitable interface controller to provide any suitable interface to at least one of the processor(s) 502 and/or any suitable device or component in communication with the control module 504.

The control module 504 may include a memory controller module to provide an interface to the memory 506. The memory controller modules may be hardware modules, software modules, and/or firmware modules.

Memory 506 may be used, for example, to load and store data and/or instructions 514 for apparatus 500. For one embodiment, memory 506 may include any suitable volatile memory, such as, for example, a suitable DRAM. In some embodiments, memory 506 may comprise a double data rate type four synchronous dynamic random access memory (DDR 4 SDRAM).

For one embodiment, the control module 504 may include one or more input/output controllers to provide an interface to the NVM/storage 508 and the input/output device(s) 510.

For example, NVM/storage 508 may be used to store data and/or instructions 514. NVM/storage 508 may include any suitable nonvolatile memory (e.g., flash memory) and/or may include any suitable nonvolatile storage device(s) (e.g., one or more Hard Disk Drives (HDDs), one or more Compact Disc (CD) drives, and/or one or more Digital Versatile Disc (DVD) drives).

NVM/storage 508 may include a storage resource as part of the device on which apparatus 500 is installed or it may be accessible by the device without necessarily being part of the device. For example, NVM/storage 508 may be accessed over a network via input/output device(s) 510.

Input/output device(s) 510 may provide an interface for apparatus 500 to communicate with any other suitable device, input/output device 510 may include a communication component, an audio component, a sensor component, and the like. Network interface 512 may provide an interface for device 500 to communicate over one or more networks, and device 500 may communicate wirelessly with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols, such as accessing a wireless network based on a communication standard, such as bluetooth, wiFi, 2G, 3G, 4G, 5G, etc., or a combination thereof.

For one embodiment, at least one of the processor(s) 502 may be packaged together with logic of one or more controllers (e.g., memory controller modules) of the control module 504. For one embodiment, at least one of the processor(s) 502 may be packaged together with logic of one or more controllers of the control module 504 to form a System In Package (SiP). For one embodiment, at least one of the processor(s) 502 may be integrated on the same mold as logic of one or more controllers of the control module 504. For one embodiment, at least one of the processor(s) 502 may be integrated on the same die with logic of one or more controllers of the control module 504 to form a system on chip (SoC).

In various embodiments, the apparatus 500 may be, but is not limited to being: a server, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.), among other terminal devices. In various embodiments, the apparatus 500 may have more or fewer components and/or different architectures. For example, in some embodiments, the apparatus 500 includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including a touch screen display), a non-volatile memory port, multiple antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and a speaker.

The detection device can adopt a main control chip as a processor or a control module, sensor data, position information and the like are stored in a memory or an NVM/storage device, a sensor group can be used as an input/output device, and a communication interface can comprise a network interface.

The embodiment of the application also provides electronic equipment, which comprises: a processor; and a memory having executable code stored thereon that, when executed, causes the processor to perform a method as described in one or more of the embodiments herein. The memory in the embodiment of the application can store various data, such as various data including target files, file and application related data, and the like, and also can include user behavior data and the like, so as to provide a data base for various processes.

Embodiments also provide one or more machine-readable media having executable code stored thereon that, when executed, cause a processor to perform a method as described in one or more of the embodiments of the present application.

For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.

In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present embodiments have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the present application.

Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.

The above description of a software online detection method, an electronic device and a storage medium provided in the present application applies specific examples to illustrate the principles and embodiments of the present application, where the above description of the embodiments is only used to help understand the method and core ideas of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. A method for detecting software online, wherein the method comprises:

configuring a target interface of target software in advance based on portrait configuration information of the software, wherein the portrait of the software is a portrait drawn for the software, the portrait is drawn based on characteristics of the software, and the drawn characteristics are determined based on the type of the software and/or user requirements;

Determining running condition information of the target software based on the software portrait information;

and feeding back the running condition information to display.

2. The method of claim 1, wherein configuring the target interface of the target software based on the representation configuration information of the software in advance comprises:

acquiring portrait configuration information of software;

3. The method of claim 2, wherein the representation items comprise at least one of: front-end images, back-end images, front-end and back-end related images, public opinion images, and patrol images;

4. The method according to claim 1, wherein after the target software is online in the gray-scale distribution manner, obtaining interface data of the target software running on a plurality of devices based on the target interface, includes:

5. The method of claim 1, wherein the analyzing the interface data based on the interface data matching the portrayal items in a detection manner corresponding to the portrayal items to determine the software portrayal information comprises:

6. The method according to claim 5, wherein the analyzing the interface data by using the detection method to determine the analysis result of the portrait item includes at least one of the following steps:

7. The method of claim 6, wherein determining the operating condition information of the target software based on the software representation information comprises at least one of:

8. The method of claim 1, wherein the feeding back the operating condition information comprises:

9. The method as recited in claim 1, further comprising:

10. A method for detecting software online, wherein the method comprises:

providing a first page, the first page including a configuration control;

the interface configuration information is sent to configure a target interface of target software based on the portrait configuration information of the software, wherein the portrait of the software is a portrait drawn for the software and is drawn based on the characteristics of the software, and the drawn characteristics are determined based on the type of the software and/or the requirements of a user;

after the target software is online in a gray level release mode, receiving operation condition information, wherein the operation condition information is determined based on software portrait information, the software portrait information is analyzed and determined on interface data according to a detection mode corresponding to portrait items, and the portrait items are obtained based on interface data matching;

And displaying the running condition information on a second page.

11. The method of claim 10, wherein displaying the operating condition information on the second page comprises:

displaying version information and flow duty ratio through a flow panel;

and displaying early warning information through the stability panel.

12. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-11.

13. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-11.