CN109669795B - Crash information processing method and device - Google Patents
Crash information processing method and device Download PDFInfo
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- CN109669795B CN109669795B CN201811531417.5A CN201811531417A CN109669795B CN 109669795 B CN109669795 B CN 109669795B CN 201811531417 A CN201811531417 A CN 201811531417A CN 109669795 B CN109669795 B CN 109669795B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0766—Error or fault reporting or storing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
Abstract
The embodiment of the application provides a crash information processing method and device, and relates to the technical field of software engineering. The method comprises the following steps: acquiring a plurality of pieces of crash information of a target application program running on a plurality of clients, wherein the crash information comprises crash content information and running environment information of the target application program on the clients; analyzing the crash information to obtain corresponding crash content information and operation environment information, and generating identification information of the crash information based on the crash content information; determining the distribution characteristics of the crash information of the target application program and the corresponding information of the running environment information based on the running environment information and the identification information; determining crash hotspot information of the target application program based on the corresponding distribution characteristics, wherein the running environment information comprises operating system information on the client, version information of the target application program and hardware information of the client. The method and the device for determining the target application program crash can automatically and efficiently determine links of the target application program which often crash.
Description
Technical Field
The present application relates to the field of software engineering technologies, and in particular, to a crash information processing method and a crash information processing apparatus.
Background
Currently, most clients, such as mobile phone clients, have many applications loaded thereon. If the application program crashes, for example, flashes back, during the use of the application program, the user experience is affected, and the user is lost.
In one technical scheme, when an application program crashes, crash information is obtained from a crash log of the application program, the crash information is sent to a research and development tester at a background, and the research and development tester analyzes the received crash information to determine links where the application program often crashes. However, in this technical solution, it is necessary to determine which links the application program crashes based on the experience of the development and testing personnel, which not only results in high labor cost, but also results in low efficiency.
Disclosure of Invention
The embodiment of the application aims to provide an advertisement putting method and an advertisement putting device, so as to solve the problems of high labor cost and low efficiency caused by manually determining a link of collapse of an application program.
In order to solve the above technical problem, the embodiment of the present application is implemented as follows:
in a first aspect, an embodiment of the present application provides a crash information processing method, including:
acquiring a plurality of pieces of crash information of a target application program running on a plurality of clients, wherein the crash information comprises crash content information and running environment information of the target application program on the clients;
analyzing the crash information to obtain corresponding crash content information and operation environment information, and generating identification information of the crash information based on the crash content information;
determining distribution characteristics corresponding to the crash information of the target application program and various items of information of the running environment information based on the running environment information and the identification information;
determining crash hotspot information of the target application program based on distribution characteristics corresponding to the crash information of the target application program and various items of information of the running environment information, wherein the running environment information comprises operating system information on the client, version information of the target application program and hardware information of the client.
In a second aspect, an embodiment of the present application provides a crash information processing apparatus, including:
the system comprises a crash information acquisition unit, a crash information acquisition unit and a crash information processing unit, wherein the crash information acquisition unit is used for acquiring a plurality of pieces of crash information of a target application program running on a plurality of clients, and the crash information comprises crash content information and running environment information of the target application program on the clients;
the analysis and identification unit is used for analyzing the crash information to obtain corresponding crash content information and running environment information, and generating identification information of the crash information based on the crash content information;
a distribution characteristic determination unit, configured to determine, based on the operating environment information and the identification information, a distribution characteristic of the target application program corresponding to each item of information of the operating environment information;
a crash hotspot determining unit, configured to determine crash hotspot information of the target application program based on distribution characteristics corresponding to the crash information of the target application program and various items of information of the operating environment information, where the operating environment information includes operating system information on the client, version information of the target application program, and hardware information of the client.
In a third aspect, an embodiment of the present application provides a crash information processing apparatus, including: a memory, a processor and computer executable instructions stored on the memory and executable on the processor, the computer executable instructions when executed by the processor implementing the steps of the crash information processing method as described in the first aspect above.
In a fourth aspect, the present application provides a computer-readable storage medium for storing computer-executable instructions, which, when executed by a processor, implement the steps of the crash information processing method according to the first aspect.
According to the technical scheme of the embodiment of the application, on one hand, the identification information of the crash information is generated based on the crash content information in the crash information, and the same or similar crash information can be accurately identified, so that statistics can be conveniently carried out on the distribution condition of the crash information with the same identification on each item of information of the running environment information of the client; on the other hand, distribution characteristics corresponding to all items of information of the crash information and the operation environment information are determined based on the identification information of the crash information and the operation environment information, and crash hot spot information of the target application program is determined based on the distribution characteristics, so that links of frequent crashes of the target application program can be automatically and efficiently determined, and labor cost can be saved; on the other hand, the collapse hotspot information of the target application program can be automatically determined through data statistics, so that human errors can be avoided, the link of collapse of the target application program can be more accurately determined, and the collapse repair efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
FIG. 1 illustrates a schematic block diagram of an application scenario of a crash information processing method provided in accordance with some embodiments of the present application;
FIG. 2 illustrates a first flowchart of a crash information handling method provided in accordance with some embodiments of the present application;
FIG. 3 illustrates a flow diagram for determining a distribution characteristic of crash information over items of runtime environment information provided in accordance with some embodiments of the present application;
FIG. 4 illustrates a second flowchart of a crash information handling method provided in accordance with some embodiments of the present application;
FIG. 5 illustrates a third flowchart of a crash information handling method provided in accordance with some embodiments of the present application;
FIG. 6 illustrates a first block diagram of a crash information handling device provided in accordance with some embodiments of the present application;
FIG. 7 illustrates a block diagram of a parsing and identification unit provided in accordance with some embodiments of the present application;
FIG. 8 illustrates a block schematic diagram of a distributed feature determination unit provided in accordance with some embodiments of the present application;
FIG. 9 illustrates a block schematic diagram of a crash information handling device provided in accordance with some embodiments of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a crash information processing method and a crash information processing device, which can automatically and efficiently determine a link that a target application program frequently crashes, so that the labor cost can be saved, and the efficiency of crash repair is improved.
Fig. 1 shows a schematic block diagram of an application scenario of a crash information processing method provided according to some embodiments of the present application. Referring to fig. 1, the application scenario may include: at least one client 110 and a server 120. The client terminal 110 and the server terminal 120 communicate with each other through a network 130. The client 110 may run an application program, and when the application program on the client 110 crashes, crash information related to the crash is collected at the client 110, the collected crash information is sent to the server 120 through the network 130, and the crash information is processed at the server 120.
The client 110 may be a mobile phone, a tablet computer, a desktop computer, a portable notebook computer, or a vehicle-mounted computer. The server 120 may be a physical server comprising independent hosts, or a virtual server hosted by a cluster of hosts, or a cloud server. The Network 130 may be a wired Network or a wireless Network, for example, the Network 130 may be a Public Switched Telephone Network (PSTN) or the internet.
Fig. 2 is a first flowchart illustrating a crash information processing method according to some embodiments of the present application, which may be applied to the server 120 shown in fig. 1. Referring to fig. 2, the crash information processing method includes steps S210 to S240, and the crash information processing method will be described in detail below.
Referring to fig. 2, in step S210, a plurality of pieces of crash information of a target application running on a plurality of clients are obtained, where the crash information includes crash content information and running environment information of the target application on the client.
In an example embodiment, the target application may be a social application, a shopping application, a financing application, or a video playing application, or may be another application, such as a browser application or a security application, which is not particularly limited in this application.
In an example embodiment, after a target application running on a client crashes (crash), the client records crash information of the target application when the crash occurs, and sends the recorded crash information to a server, for example, the crash information generated by the client may be captured by a crash capture SDK (software development kit), and the captured crash information is uploaded to the server by a cloud service deployed on the crash capture SDK.
Further, in an example embodiment, a message subscription system, such as kafka, may be deployed at the server side, and when the server side receives the crash information sent by the client, the crash information is collected in a cache queue of the message subscription system in real time.
It should be noted that the crash information of the target application includes crash content information and running environment information of the target application on the client. Taking an android application program as an example, the crash content information of the target application program includes: java crash information, Native crash information, and ANR (Application Not Responding) crash information. The runtime environment information of the target application on the client includes the operating system information on the client, the version information of the target application, and the hardware information of the client, and the runtime environment information may also include other suitable information such as network information and memory information of the client, which is also within the scope of the present application.
In step S220, the crash information is analyzed to obtain corresponding crash content information and operating environment information, and the identification information of the crash information is generated based on the crash content information.
In an example embodiment, invalid information in the crash information is removed in advance, for example, invalid characters, that is, head and tail spaces, line breaks and the like are removed, then the crash information is analyzed according to a preset analysis rule to obtain corresponding crash content and running environment information, where the preset analysis rule may be a regular expression for obtaining the crash content information and the running environment information of the target application program at the client, that is, the crash content information in the crash information, for example, Native crash information, and the running environment information of the target application program, for example, operating system information, application program version information and the like, may be obtained through the regular expression in the preset analysis rule.
In an example embodiment, the crash content information and the operating environment information in the crash information may be analyzed separately. Taking analysis of the crash content information as an example, whether the crash information contains java.lang.nullpointerexclusion can be judged through a regular expression, and if the crash information contains java.lang.nullpointerexclusion, the corresponding crash content information is analyzed into JAVA crash information; whether the crash information contains 'signal' can be judged through the regular expression, and if the crash information contains 'signal', the corresponding crash content information can be analyzed into Native crash information.
Taking the analysis of the running environment information as an example, whether the crash information contains Android can be judged through a regular expression, and if the crash information contains the Android, the corresponding running environment information is analyzed into an Android operating system; whether the crash information contains Application Version can be judged through the regular expression, and if the crash information contains the Application Version, the corresponding running environment information is analyzed into Application program Version information; in addition, whether the crash information contains IOS/MIUI/EMUI can be judged through the regular expression, and if the crash information contains IOS, the corresponding client is determined to be an OPPO mobile phone; if the client side comprises the MIUI, determining that the corresponding client side is the millet mobile phone; and if the EMUI is contained, determining that the corresponding client is the mobile phone.
In addition, since the same crash information may have different expressions, that is, different crash content information, for example, the crash content information of the same crash information is different under different versions of operating systems, it is necessary to identify the same crash information in the acquired pieces of crash information. In an example embodiment, a keyword is extracted from crash content information of each piece of crash information, and identification information of each piece of crash information is generated based on the extracted keyword. For example, the crash content information may be parsed by a regular expression, the crash content information may be ranked based on the parsing result, multiple levels of crash content sub-information may be generated, and the keyword may be extracted from the crash content sub-information greater than a predetermined level to generate the identification information of the crash information.
Specifically, taking an android application program as an example, analyzing crash content information of the android application program to obtain corresponding JAVA crash information and Native crash information. The acquired JAVA crash information and Native crash information are further classified according to an important program of the crash content sub information through a regular expression, for example, the header information is' signal 6 (SIGABRT); code-6(SI _ TKILL); fault addr? The crash content information of (a) is classified as class a information; for the Native crash so file, the crash content information which is carried by an APK (Android Package) and has a function name is also classified as A-level information; classifying JAVA stack information into B-level information; the information of the crash content of the Native crash so file which is an APK self-contained crash content and has no function name is classified into B-level information, the information of the crash content of the Native crash so file which is not the APK self-contained crash content is classified into C-level information, and the information of the segmentation symbol is classified into D-level information. After the crash content information is classified, a plurality of levels of crash content sub-information are generated, keywords are extracted from the crash content sub-information larger than a predetermined level, for example, the keywords are preferentially extracted from the level a and level B crash content information, and identification information of the corresponding crash information is generated based on the extracted keywords.
Further, in order to identify the crash information more accurately, in the exemplary embodiment, after extracting the keyword from the crash content sub-information, the MD5 message digest operation is performed on the extracted keyword of the crash content sub-information, and a signature of the crash information is generated based on the operation result, as the identification information of the crash information.
It should be noted that, although the MD5 message digest operation is used to generate the signature of the crash information in the exemplary embodiment of the present application, the embodiment of the present application is not limited thereto, and for example, the SHA operation or the MAC operation may also be used to generate the signature of the crash information, which is also within the protection scope of the present application.
In step S230, a distribution characteristic of the crash information of the target application corresponding to each item of information of the operating environment information is determined based on the operating environment information and the identification information.
In an example embodiment, the running environment information corresponding to the crash information when the target application program of each client crashes is determined based on the identification information of the crash information, for example, information such as the type and version of the operating system of the client, the version of the target application program, the model of the client, the memory occupation ratio of the client, and the network connection information of the client when the target application program crashes. And counting various information in the running environment information of the target application program of each client to obtain the distribution characteristics corresponding to the crash information of the target application program and various information of the running environment information.
For example, if the server side obtains 1000 pieces of crash information with the same identifier, the statistical result shows that the 1000 pieces of crash information are distributed in 50 in the 5.0 version of the android system, 50 in the 6.0 version of the android system, and 900 in the 7.0 version of the android system; 300 mobile phones are distributed on OPPO mobile phones, 300 mobile phones are distributed on Huawei mobile phones, and 400 mobile phones are distributed on Samsung mobile phones; 50 pieces of the distributed application program version number are arranged on 4.0, 50 pieces of the distributed application program version number are arranged on 5.0, and 900 pieces of the distributed application program version number are arranged on 6.0.
In step S240, determining crash hotspot information of the target application program based on distribution characteristics of the crash information of the target application program corresponding to various items of information of the operating environment information.
In an example embodiment, after obtaining distribution characteristics corresponding to items of information of crash information of a target application program and running environment information of the target application program, determining a distribution quantity of the crash information corresponding to the items of information of the running environment, and determining an information item of which the distribution quantity is greater than a preset quantity threshold value as crash hotspot information of the target application program, where the preset quantity threshold value is determined according to the quantity of the crash information of the same identifier. For example, in the above embodiment, when the number of the crash information of the same identifier is 1000, the preset number threshold is set to 700, and the information items whose distribution number is greater than 700 are determined as the crash hotspot information of the target application program, that is, the 7.0 version of the android system and the 6.0 version of the application program are determined as the crash hotspot information of the target application program.
Further, in other example embodiments, a distribution proportion of crash information corresponding to each item of information of the running environment is determined, and an information item with the distribution proportion larger than a predetermined proportion threshold is determined as the crash hotspot information of the target application program. For example, in the above example embodiment, the distribution proportion of 1000 pieces of crash information distributed on 5.0 of the android system is 5%, the distribution proportion distributed on 6.0 of the android system is 5%, and the distribution proportion distributed on 7.0 of the android system is 90%; 30% of OPPO mobile phone, 30% of mobile phone and 40% of Samsung mobile phone; 5% of information items distributed on the application version number 4.0, 5% of information items distributed on the application version number 5.0 and 90% of information items distributed on the application version number 6.0, wherein the distribution proportion is larger than a preset threshold value, for example, 70%, is determined as the crash hot spot information of the target application program, and then the 7.0 version of the android system and the 6.0 version of the application program are determined as the crash hot spot information of the target application program.
According to the crash information processing method in the example embodiment of fig. 2, on one hand, the identification information of the crash information is generated based on the crash content information in the crash information, and the same or similar crash information can be accurately identified, so that statistics can be performed on the distribution situation of the crash information with the same identification on each item of information of the operating environment information of the client; on the other hand, distribution characteristics corresponding to all items of information of the crash information and the operation environment information are determined based on the identification information of the crash information and the operation environment information, and crash hot spot information of the target application program is determined based on the distribution characteristics, so that links of frequent crashes of the target application program can be automatically and efficiently determined, and labor cost can be saved; on the other hand, the collapse hotspot information of the target application program can be automatically determined through data statistics, so that human errors can be avoided, the link of collapse of the target application program can be more accurately determined, and the collapse repair efficiency is improved.
Further, in an example embodiment, when it is determined that the distribution quantity or the distribution ratio of the crash information corresponding to each item of information of the operating environment is greater than a predetermined threshold, alarm information is sent out to automatically remind a research and development tester to process the alarm crash hotspot information.
In addition, in an example embodiment, the running environment information of the target application program on the client further includes stack information corresponding to the crash information, a crash scenario of the target application program is recovered based on the running environment information of the client corresponding to the crash information and the crash content information, and the target application program is repaired based on the crash scenario and the determined crash hotspot information of the target application program. For example, the stack information corresponding to the crash information may be restored based on a symbol table, where the symbol table is a mapping table of memory addresses and function names, file names, and line numbers, and the elements of the symbol table are < start address > < end address > < function > [ < file name: line number > ], the code position of the target application program where the crash occurs can be quickly and accurately positioned based on the stack information of the symbol table and the crash information, so that the stack of the target application program can be analyzed and restored, and the crash scene of the target application program can be recovered. In a crash scenario of the target application, the target application is repaired based on the determined crash hotspot information of the target application, for example, the target application is repaired by a patch corresponding to the crash hotspot information.
FIG. 3 illustrates a flow diagram for determining a distribution profile of crash information over items of runtime environment information provided in accordance with some embodiments of the present application.
Referring to fig. 3, in step S310, a number of collapse-affected users and a number of active users corresponding to each item of information in the running environment information of the target application program within a preset time interval are determined.
In an example embodiment, determining the number of collapse influencing users and the number of active users corresponding to each item of information in the running environment of a target application program within a preset time interval, for example, within 1 hour, for example, obtaining 1000 pieces of collapse information with the same identification within 1 hour, determining that the number of users influencing the 5.0 version of the android system in the 1000 pieces of collapse information is 50, and the number of corresponding active users is 5000; the number of users affecting 6.0 of the android system is 50, the number of corresponding active users is 5000, the number of users affecting 7.0 version of the android system is 900, and the number of corresponding active users is 10000; the number of users affecting an OPPO mobile phone is 650, the number of corresponding active users is 10000, the number of the users affecting the OPPO mobile phone is 50, the number of corresponding active users is 5000, the number of the users affecting the samsung mobile phone is 300, and the number of corresponding active users is 5000; the number of users affecting the application version number of 4.0 is 50, the number of corresponding active users is 5000, the number of users having the application version number of 5.0 is 50, the number of corresponding active users is 5000, the number of users having the application version number of 6.0 is 900, and the number of corresponding active users is 10000.
In step S320, a collapse rate corresponding to each item of information in the operating environment information is determined based on the collapse influencing user number and the active user number.
In an example embodiment, the collapse rate is equal to a ratio of the number of collapse affecting users to the number of active users within a preset time interval. After determining the number of users affected by the crash and the number of active users corresponding to each item of information in the operating environment of the target application program within a preset time interval, for example, 1 hour, the crash rate corresponding to each item of information in the operating environment information can be determined, for example, the crash rate corresponding to the 5.0 version of the android system is 1%, the crash rate corresponding to the 6.0 version of the android system is 1%, and the crash rate corresponding to the 7.0 version of the android system is 9%; the collapse rate corresponding to the OPPO cell phone is 6.5%, the collapse rate corresponding to the Hua cell phone is 1%, and the collapse rate corresponding to the Samsung cell phone is 6%; the crash rate for the application program version 4.0 is 1%, the version number for the application program version 5.0 is 1%, and the crash rate for the application program version 6.0 is 9%.
Further, in an example embodiment, an information item with a crash rate greater than a preset crash rate threshold in the running environment information of the crash information of the target application program is determined as crash hotspot information of the target application program. For example, if the preset crash rate threshold is set to 6.5%, determining the application programs of the 7.0 version, the OPPO mobile phone, and the 6.0 version of the android system as the crash hotspot information of the target application program.
FIG. 4 illustrates a second flowchart of a crash information handling method provided in accordance with some embodiments of the present application.
Referring to fig. 4, in step S410, crash information from the target applications on the multiple clients is collected, for example, a monitoring program may be set to monitor whether the target application of each client crashes, when a crash occurs, the crash information of the target application of each client is sent to the server, and the crash information of the target application of each client is collected at the server. The crash information of the target application program comprises crash content information and running environment information of the target application program at the client. The crash content information of the target application includes: java crash information, Native crash information, and ANR (Application Not Responding) crash information. The running environment information of the target application program on the client comprises operating system information on the client, version information of the target application program, hardware information of the client and network information.
In step S420, the collected crash information is uploaded to a distributed cache queue, for example, a distributed kafka cluster is deployed on a server side, and the collected crash information is uploaded to a cache queue of the distributed kafka cluster.
In step S430, obtaining crash information from the distributed cache queue, processing the obtained crash information in real time, analyzing the crash information to obtain crash content information and operation environment information, generating identification information of the crash information based on the crash content information, determining distribution characteristics corresponding to each item of information of the crash information and the operation environment information based on the identification information and the operation environment information, and determining crash hotspot information of the target application program based on the distribution characteristics corresponding to each item of information of the crash information and the operation environment information. For example, crash information in the distributed cache queue can be acquired and processed in real time through spark streaming, distribution characteristics of the crash information corresponding to various items of information of the running environment are determined, and crash hotspot information of the application program is determined based on the distribution characteristics.
In step S440, when it is determined that the distribution quantity or the distribution ratio of the crash information corresponding to each item of the operating environment information is greater than a predetermined threshold, alarm information is sent out to automatically remind a research and development tester to process the alarm crash hotspot information.
In step S450, the distribution characteristics corresponding to the determined crash information and the items of information of the operating environment information are displayed, for example, the distribution quantity or the proportion of the crash information on the android operating system and the IOS operating system may be displayed through a pie chart or a bar chart.
FIG. 5 illustrates a third flowchart of a crash information handling method provided in accordance with some embodiments of the present application.
Referring to fig. 5, in step S510, crash information of target versions of applications from multiple clients is collected, and the crash information is uploaded to a large data distributed cache queue, such as a cache queue of kafka, in real time through a cloud service. For example, after a new version of an application program is online, crash information of a target application program of the new version is collected. The crash information of the target application program comprises crash content information and running environment information of the target application program at the client. The crash content information of the target application includes: java crash information, Native crash information, and ANR (Application Not Responding) crash information. The running environment information of the target application program on the client comprises operating system information on the client, version information of the target application program, hardware information and network information of the client and the like.
In step S520, a breakdown rate corresponding to each item of information of the new version of the target application program and the operating environment is counted in real time based on the collected breakdown information, where the breakdown rate is a ratio of the number of users affected by breakdown within a preset time interval to the number of active users, for example, a breakdown rate corresponding to each item of information of the new version of the target application program and the operating environment is counted in real time through a spark streaming engine, for example, a breakdown rate on an android operating system and a breakdown rate on an IOS system, a breakdown rate on a cell phone, a breakdown rate on a millet cell phone, a breakdown rate on a samsung cell phone, and the like.
In step 530, when the crash rate of the target application program corresponding to the information item of the running environment reaches a predetermined threshold, alarm information is issued, for example, when the crash rate of the target application program on the android operating system reaches 6%, the alarm information is issued.
In step S540, the hot spot problem that is caused by the crash is located according to the crash rate corresponding to each item of information of the new version of the target application program and the operating environment, for example, an information item of the operating environment information with the crash rate greater than a predetermined threshold is determined as crash hot spot information.
In step S550, a crash scene of the target application is recovered based on the running environment information and the crash content information of the client corresponding to the crash information, and the target application is repaired based on the crash scene and the determined crash hotspot information. For example, a crash scenario of the target application in which a bug that is a crash problem of the target application is repaired is recovered based on the stack information of the client corresponding to the crash information.
In an example embodiment, the stack information corresponding to the crash information may be restored based on a symbol table, where the symbol table is a mapping table of memory addresses and function names, file names, and line numbers, and the elements of the symbol table are as follows < start address > < end address > < function > [ < file name: line number > ], the code position of the target application program where the crash occurs can be quickly and accurately positioned based on the stack information of the symbol table and the crash information, so that the stack of the target application program can be analyzed and restored, and the crash scene of the target application program can be recovered. In a crash scenario of the target application, the target application is repaired based on the determined crash hotspot information of the target application, for example, the target application is repaired by a patch corresponding to the crash hotspot information. And after the crash problem of the target application program is repaired, releasing the repaired new version of the application program until the target application program stably runs.
In addition, in an example embodiment of the present application, a crash information processing apparatus is also provided. Referring to fig. 6, the crash information processing apparatus 600 includes: crash information acquisition unit 610, parsing and identification unit 620, distribution characteristic determination unit 630, and crash hotspot determination unit 640. Wherein: the crash information obtaining unit 610 is configured to obtain multiple pieces of crash information of a target application running on multiple clients, where the crash information includes crash content information and running environment information of the target application on the clients; the parsing and identifying unit 620 is configured to parse the crash information to obtain corresponding crash content information and operating environment information, and generate identification information of the crash information based on the crash content information; the distribution characteristic determining unit 630 is configured to determine, based on the running environment information and the identification information, a distribution characteristic of the target application program corresponding to each item of information of the running environment information; the crash hotspot determining unit 640 is configured to determine crash hotspot information of the target application program based on distribution characteristics corresponding to the crash information of the target application program and various items of information of the operating environment information, where the operating environment information includes operating system information on the client, version information of the target application program, and hardware information of the client.
In some example embodiments of the present application, based on the foregoing solution, referring to fig. 7, the parsing and identifying unit 620 includes: a grading unit 622, configured to grade various items of collapsed content sub-information in the collapsed content information, and determine collapsed content sub-information that is greater than a predetermined level in the collapsed content information; an extracting unit 624, configured to extract a keyword of the corresponding crashed content sub-information from the crashed content sub-information that is greater than the predetermined level; an identifying unit 626, configured to generate identification information of the crash information based on the extracted keyword of the crash content sub-information.
In some example embodiments of the present application, based on the foregoing solution, the identifying unit 626 includes: the operation unit is used for performing MD5 message digest operation on the extracted keywords of the crash content sub-information; and the signature unit is used for generating a signature of the crash information based on the operation result and using the signature as the identification information of the crash information.
In some example embodiments of the present application, based on the foregoing scheme, referring to fig. 8, the distribution characteristic determining unit 630 includes: an operating environment determining unit 632, configured to determine, based on the identification information, operating environment information of the target application program of each client corresponding to the crash information; a statistics unit 634, configured to perform statistics on various pieces of information in the running environment information of the target application program of each client; a feature determining unit 636, configured to determine, based on a statistical result, distribution features of the crash information of the target application corresponding to various items of information of the operating environment information.
In some example embodiments of the present application, based on the foregoing scheme, the feature determining unit 636 includes: the user number determining unit is used for determining the number of collapse influence users and the number of active users corresponding to each item of information in the running environment information of the target application program within a preset time interval; and a breakdown rate distribution determining unit, configured to determine, based on the number of breakdown-affected users and the number of active users, breakdown rate distribution characteristics corresponding to each item of information in the crash information and the operating environment information of the target application program.
In some example embodiments of the present application, based on the foregoing scheme, the crash hotspot determination unit 640 is configured to: determining an information item with a collapse rate larger than a preset collapse rate threshold value in the running environment information of the collapse information of the target application program as collapse hot spot information of the target application program.
In some example embodiments of the present application, based on the foregoing solution, the operating environment information further includes stack information corresponding to the crash information, and the crash information processing apparatus 600 further includes: a scene recovery unit, configured to recover a crash scene of the target application based on the operating environment information and the crash content information; and the repairing unit is used for repairing the target application program based on the crash scene and the determined crash hotspot information of the target application program.
The crash information processing device provided by the embodiment of the application can realize each process in the foregoing method embodiments, and achieve the same function and effect, which is not repeated here.
Further, an embodiment of the present application further provides a crash information processing apparatus, and fig. 9 is a schematic structural diagram of the crash information processing apparatus provided in some example embodiments of the present application, as shown in fig. 9, the apparatus includes: memory 901, processor 902, bus 903, and communications interface 904. The memory 901, processor 902, and communication interface 904 communicate via bus 903, and the communication interface 904 may include input and output interfaces including, but not limited to, a keyboard, mouse, display, microphone, and the like.
In fig. 9, the memory 901 stores thereon computer-executable instructions executable on the processor 902, and when executed by the processor 902, the computer-executable instructions implement the following processes: acquiring a plurality of pieces of crash information of a target application program running on a plurality of clients, wherein the crash information comprises crash content information and running environment information of the target application program on the clients; analyzing the crash information to obtain corresponding crash content information and operation environment information, and generating identification information of the crash information based on the crash content information; determining distribution characteristics corresponding to the crash information of the target application program and various items of information of the running environment information based on the running environment information and the identification information; determining crash hotspot information of the target application program based on distribution characteristics corresponding to the crash information of the target application program and various items of information of the running environment information, wherein the running environment information comprises operating system information on the client, version information of the target application program and hardware information of the client.
Optionally, the computer executable instructions, when executed by the processor, generate identification information of the crash information based on the crash content information, including: grading each item of collapsed content sub-information in the collapsed content information, and determining the collapsed content sub-information which is greater than a preset grade in the collapsed content information; extracting keywords of the corresponding crash content sub-information from the crash content sub-information which is larger than the preset level; and generating identification information of the crash information based on the extracted keywords of the crash content sub-information.
Optionally, the computer executable instructions, when executed by the processor, generate identification information of the crash information based on the extracted keyword of the crash content sub-information, including: performing MD5 message digest operation on the extracted keywords of the crash content sub-information; and generating a signature of the crash information based on the operation result, and using the signature as the identification information of the crash information.
Optionally, when executed by the processor, the computer-executable instructions determine, based on the runtime environment information and the identification information, a distribution characteristic of the crash information of the target application corresponding to various items of information of the runtime environment information, including: determining running environment information of the target application program of each client corresponding to the crash information based on the identification information; counting various information in the running environment information of the target application program of each client; and determining distribution characteristics of the crash information of the target application program corresponding to various items of information of the running environment information based on the statistical result.
Optionally, when executed by the processor, the computer-executable instructions determine distribution characteristics of the crash information of the target application corresponding to various items of information of the runtime environment information, including: determining the number of collapse influence users and the number of active users corresponding to each item of information in the running environment information of the target application program within a preset time interval; determining a breakdown rate distribution characteristic corresponding to each item of information in the breakdown information and the running environment information of the target application program based on the number of breakdown-affected users and the number of active users.
Optionally, when executed by the processor, the computer-executable instructions determine crash hotspot information of the target application based on distribution characteristics of the crash information of the target application corresponding to various items of information of the running environment information, including: determining an information item with a collapse rate larger than a preset collapse rate threshold value in the running environment information of the collapse information of the target application program as collapse hot spot information of the target application program.
Optionally, when the computer executable instructions are executed by the processor, the runtime environment information further includes stack information corresponding to the crash information, and the crash information processing method further includes: restoring a crash scene of the target application program based on the operating environment information and the crash content information; and repairing the target application program based on the crash scene and the determined crash hotspot information of the target application program.
On one hand, the identification information of the crash information is generated based on the crash content information in the crash information, and the same or similar crash information can be accurately identified, so that statistics can be conveniently carried out on the distribution condition of the crash information with the same identification on each item of information of the running environment information of the client; on the other hand, distribution characteristics corresponding to all items of information of the crash information and the operation environment information are determined based on the identification information of the crash information and the operation environment information, and crash hot spot information of the target application program is determined based on the distribution characteristics, so that links of frequent crashes of the target application program can be automatically and efficiently determined, and labor cost can be saved; on the other hand, the collapse hotspot information of the target application program can be automatically determined through data statistics, so that human errors can be avoided, and the link that the target application program often collapses can be more accurately determined.
The crash information processing device provided by the embodiment of the application can realize each process in the foregoing method embodiments, and achieve the same function and effect, which is not repeated here.
Further, an embodiment of the present application also provides a computer-readable storage medium for storing computer-executable instructions, which when executed by a processor implement the following process:
acquiring a plurality of pieces of crash information of a target application program running on a plurality of clients, wherein the crash information comprises crash content information and running environment information of the target application program on the clients; analyzing the crash information to obtain corresponding crash content information and operation environment information, and generating identification information of the crash information based on the crash content information; determining distribution characteristics corresponding to the crash information of the target application program and various items of information of the running environment information based on the running environment information and the identification information; determining crash hotspot information of the target application program based on distribution characteristics corresponding to the crash information of the target application program and various items of information of the running environment information, wherein the running environment information comprises operating system information on the client, version information of the target application program and hardware information of the client.
Optionally, the computer executable instructions, when executed by the processor, generate identification information of the crash information based on the crash content information, including: grading each item of collapsed content sub-information in the collapsed content information, and determining the collapsed content sub-information which is greater than a preset grade in the collapsed content information; extracting keywords of the corresponding crash content sub-information from the crash content sub-information which is larger than the preset level; and generating identification information of the crash information based on the extracted keywords of the crash content sub-information.
Optionally, the computer executable instructions, when executed by the processor, generate identification information of the crash information based on the extracted keyword of the crash content sub-information, including: performing MD5 message digest operation on the extracted keywords of the crash content sub-information; and generating a signature of the crash information based on the operation result, and using the signature as the identification information of the crash information.
Optionally, when executed by the processor, the computer-executable instructions determine, based on the runtime environment information and the identification information, a distribution characteristic of the crash information of the target application corresponding to various items of information of the runtime environment information, including: determining running environment information of the target application program of each client corresponding to the crash information based on the identification information; counting various information in the running environment information of the target application program of each client; and determining distribution characteristics of the crash information of the target application program corresponding to various items of information of the running environment information based on the statistical result.
Optionally, when executed by the processor, the computer-executable instructions determine distribution characteristics of the crash information of the target application corresponding to various items of information of the runtime environment information, including: determining the number of collapse influence users and the number of active users corresponding to each item of information in the running environment information of the target application program within a preset time interval; determining a breakdown rate distribution characteristic corresponding to each item of information in the breakdown information and the running environment information of the target application program based on the number of breakdown-affected users and the number of active users.
Optionally, when executed by the processor, the computer-executable instructions determine crash hotspot information of the target application based on distribution characteristics of the crash information of the target application corresponding to various items of information of the running environment information, including: determining an information item with a collapse rate larger than a preset collapse rate threshold value in the running environment information of the collapse information of the target application program as collapse hot spot information of the target application program.
Optionally, when the computer executable instructions are executed by the processor, the runtime environment information further includes stack information corresponding to the crash information, and the crash information processing method further includes: restoring a crash scene of the target application program based on the operating environment information and the crash content information; and repairing the target application program based on the crash scene and the determined crash hotspot information of the target application program.
On one hand, the identification information of the crash information is generated based on the crash content information in the crash information, and the same or similar crash information can be accurately identified, so that statistics can be conveniently carried out on the distribution condition of the crash information with the same identification on each item of information of the running environment information of the client; on the other hand, distribution characteristics corresponding to all items of information of the crash information and the operation environment information are determined based on the identification information of the crash information and the operation environment information, and crash hot spot information of the target application program is determined based on the distribution characteristics, so that links of frequent crashes of the target application program can be automatically and efficiently determined, and labor cost can be saved; on the other hand, the collapse hotspot information of the target application program can be automatically determined through data statistics, so that human errors can be avoided, and the link that the target application program often collapses can be more accurately determined. The computer-readable storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
The computer-readable storage medium provided by the embodiment of the present application can implement the processes in the foregoing method embodiments, and achieve the same functions and effects, which are not repeated here.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (14)
1. A crash information processing method is characterized by comprising the following steps:
acquiring a plurality of pieces of crash information of a target application program running on a plurality of clients, wherein the crash information comprises crash content information and running environment information of the target application program on the clients;
analyzing the crash information to obtain corresponding crash content information and running environment information, generating identification information of the crash information based on the crash content information, extracting keywords from the crash content information of the crash information by the identification information, and generating the identification information based on the keywords;
determining distribution characteristics corresponding to the crash information of the target application program and various items of information of the running environment information based on the running environment information and the identification information;
determining crash hotspot information of the target application program based on distribution characteristics corresponding to the crash information of the target application program and various items of information of the running environment information, wherein the running environment information comprises operating system information on the client, version information of the target application program and hardware information of the client.
2. A crash information processing method according to claim 1, wherein generating identification information of the crash information based on the crash content information comprises:
grading each item of collapsed content sub-information in the collapsed content information, and determining the collapsed content sub-information which is greater than a preset grade in the collapsed content information;
extracting keywords of the corresponding crash content sub-information from the crash content sub-information which is larger than the preset level;
and generating identification information of the crash information based on the extracted keywords of the crash content sub-information.
3. A crash information processing method according to claim 2, wherein generating identification information of the crash information based on the extracted keyword of the crash content sub-information comprises:
performing MD5 message digest operation on the extracted keywords of the crash content sub-information;
and generating a signature of the crash information based on the operation result, and using the signature as the identification information of the crash information.
4. A crash information processing method according to claim 1, wherein determining distribution characteristics of the crash information of the target application program corresponding to respective items of information of the execution environment information based on the execution environment information and the identification information includes:
determining running environment information of the target application program of each client corresponding to the crash information based on the identification information;
counting various information in the running environment information of the target application program of each client;
and determining distribution characteristics of the crash information of the target application program corresponding to various items of information of the running environment information based on the statistical result.
5. A crash information processing method according to claim 4, wherein determining distribution characteristics of the crash information of the target application corresponding to respective items of information of the execution environment information includes:
determining the number of collapse influence users and the number of active users corresponding to each item of information in the running environment information of the target application program within a preset time interval;
determining a breakdown rate distribution characteristic corresponding to each item of information in the breakdown information and the running environment information of the target application program based on the number of breakdown-affected users and the number of active users.
6. A crash information processing method according to claim 5, wherein determining crash hotspot information of the target application based on distribution characteristics of the crash information of the target application corresponding to respective items of information of the operating environment information, comprises:
determining an information item with a collapse rate larger than a preset collapse rate threshold value in the running environment information of the collapse information of the target application program as collapse hot spot information of the target application program.
7. A crash information processing method according to any one of claims 1 to 6, wherein the execution environment information further includes stack information corresponding to the crash information, the crash information processing method further comprising:
restoring a crash scene of the target application program based on the operating environment information and the crash content information;
and repairing the target application program based on the crash scene and the determined crash hotspot information of the target application program.
8. A crash information processing apparatus characterized by comprising:
the system comprises a crash information acquisition unit, a crash information acquisition unit and a crash information processing unit, wherein the crash information acquisition unit is used for acquiring a plurality of pieces of crash information of a target application program running on a plurality of clients, and the crash information comprises crash content information and running environment information of the target application program on the clients;
the analysis and identification unit is used for analyzing the crash information to obtain corresponding crash content information and running environment information, and generating identification information of the crash information based on the crash content information, wherein the identification information extracts keywords from the crash content information of the crash information and is generated based on the keywords;
a distribution characteristic determination unit, configured to determine, based on the operating environment information and the identification information, a distribution characteristic of the target application program corresponding to each item of information of the operating environment information;
a crash hotspot determining unit, configured to determine crash hotspot information of the target application program based on distribution characteristics corresponding to the crash information of the target application program and various items of information of the operating environment information, where the operating environment information includes operating system information on the client, version information of the target application program, and hardware information of the client.
9. A crash information processing apparatus as recited in claim 8, wherein the parsing and identifying unit comprises:
the classification unit is used for classifying various items of crash content sub-information in the crash content information and determining crash content sub-information which is greater than a preset level in the crash content information;
the extraction unit is used for extracting keywords of the corresponding crash content sub-information from the crash content sub-information with the level higher than the preset level;
and the identification unit is used for generating the identification information of the crash information based on the extracted keywords of the crash content sub-information.
10. A crash information processing apparatus according to claim 9, wherein said identification unit comprises:
the operation unit is used for performing MD5 message digest operation on the extracted keywords of the crash content sub-information;
and the signature unit is used for generating a signature of the crash information based on the operation result and using the signature as the identification information of the crash information.
11. A crash information processing apparatus according to claim 8, wherein said distribution characteristic determining unit includes:
a running environment determining unit, configured to determine, based on the identification information, running environment information of the target application program of each client corresponding to the crash information;
the statistical unit is used for counting various information in the running environment information of the target application program of each client;
and the characteristic determining unit is used for determining distribution characteristics of the crash information of the target application program corresponding to various items of information of the running environment information based on a statistical result.
12. A crash information processing apparatus according to claim 11, wherein said characteristics determining unit comprises:
the user number determining unit is used for determining the number of collapse influence users and the number of active users corresponding to each item of information in the running environment information of the target application program within a preset time interval;
and a breakdown rate distribution determining unit, configured to determine, based on the number of breakdown-affected users and the number of active users, breakdown rate distribution characteristics corresponding to each item of information in the crash information and the operating environment information of the target application program.
13. A crash information processing apparatus as recited in claim 12, wherein the crash hotspot determining unit is configured to:
determining an information item with a collapse rate larger than a preset collapse rate threshold value in the running environment information of the collapse information of the target application program as collapse hot spot information of the target application program.
14. A crash information processing apparatus according to any one of claims 8 to 13, wherein the execution environment information further includes stack information corresponding to the crash information, the crash information processing apparatus further comprising:
a scene recovery unit, configured to recover a crash scene of the target application based on the operating environment information and the crash content information;
and the repairing unit is used for repairing the target application program based on the crash scene and the determined crash hotspot information of the target application program.
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| CN110443036A (en) * | 2019-08-13 | 2019-11-12 | 杭州安恒信息技术股份有限公司 | A kind of method and apparatus that program carries out mimicry camouflage |
| CN110851294B (en) * | 2019-10-10 | 2023-06-30 | 上海上湖信息技术有限公司 | Method and device for remedying program running crash |
| CN110764945B (en) * | 2019-10-23 | 2023-06-30 | 北京博睿宏远数据科技股份有限公司 | Crash log processing method, device, equipment and storage medium |
| CN112437152B (en) * | 2020-11-20 | 2022-05-17 | 北京百度网讯科技有限公司 | Crash processing method and device, electronic equipment and storage medium |
| CN113110951A (en) * | 2021-04-08 | 2021-07-13 | 北京沃东天骏信息技术有限公司 | Crash information processing method and device |
| CN114595198B (en) * | 2022-03-15 | 2023-09-05 | 抖音视界有限公司 | Crash analysis method and device, electronic equipment and storage medium |
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