CN114003480A - APP starting time monitoring system and method - Google Patents
APP starting time monitoring system and method Download PDFInfo
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- CN114003480A CN114003480A CN202111294760.4A CN202111294760A CN114003480A CN 114003480 A CN114003480 A CN 114003480A CN 202111294760 A CN202111294760 A CN 202111294760A CN 114003480 A CN114003480 A CN 114003480A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
- G06F11/3419—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment by assessing time
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
Abstract
The application provides an APP starting duration monitoring system and method, and the system comprises: data monitoring equipment and an optimization terminal; the data monitoring equipment is used for acquiring various starting item data of the current APP, judging whether an overtime starting item exists in the current APP according to the various starting item data, and if yes, sending an access link of the overtime starting item data to the optimization terminal; after the optimization terminal receives the access link of any overtime starting item data, reading the overtime starting item data based on the access link, and optimizing the current APP according to the read overtime starting item data. The system that above-mentioned scheme provided carries out the control that APP started duration through the start item that uses APP as the control unit, has accurately positioned the overtime start item among the current APP, and APP optimization stage need not all start items of whole investigation again, has ensured APP's optimization efficiency.
Description
Technical Field
The application relates to the technical field of APP development, in particular to an APP starting time monitoring system and method.
Background
At present, the APP starting speed is an important index for measuring the APP quality, and too slow starting can seriously affect the user experience and even cause the user loss.
In the prior art, whether the starting speed of the current APP reaches the standard is usually determined according to the relationship between the APP starting duration and a preset threshold.
However, because the APP is influenced by various factors during starting, if the starting speed of the APP is detected based on the prior art, when the current APP starting speed is determined to be slow, APP developers need to manually and integrally check the starting items of all starting stages, then the APP is optimized according to the check result, the check process is complex, and the optimization efficiency of the APP cannot be guaranteed.
Disclosure of Invention
The application provides an APP starting time monitoring system and method to overcome the defect that the prior art cannot guarantee the optimization efficiency of the APP.
The first aspect of the present application provides an APP start-up duration monitoring system, including: data monitoring equipment and an optimization terminal;
the data monitoring equipment is used for acquiring various starting item data of the current APP, judging whether an overtime starting item exists in the current APP according to the various starting item data, and if yes, sending an access link of the overtime starting item data to the optimization terminal;
and after receiving an access link of any overtime starting item data, the optimization terminal reads the overtime starting item data based on the access link and optimizes the current APP according to the read overtime starting item data.
Optionally, the method further includes:
the debugging component is used for acquiring various starting item data of the current APP, wherein the debugging component is deployed in the current APP, and the speed of acquiring various starting item data of the current APP by the debugging component is faster than that of the data monitoring equipment;
and after the optimization operation of the current APP is completed, the optimization terminal reads each starting item data after the APP is optimized from the debugging component.
Optionally, the data monitoring device is specifically configured to:
judging whether the execution duration represented by each startup item data is greater than a preset startup item execution duration threshold value or not;
if yes, the starting item is determined as a timeout starting item.
Optionally, the data monitoring device is further configured to:
acquiring the total starting duration of the current APP;
judging whether the total starting duration of the current APP is greater than a preset total starting duration threshold value or not;
if yes, determining that the current APP has starting delay, and generating corresponding starting delay alarm information.
Optionally, the startup item data at least includes a startup item name and a startup item execution duration.
Optionally, the data monitoring device is further configured to:
judging whether the number of the currently obtained startup item data is larger than the number of the startup item data obtained last time;
if yes, determining that the current APP has a newly added starting item;
and judging whether the newly added starting item is an overtime starting item or not according to the starting item data corresponding to the newly added starting item.
Optionally, the optimization terminal is further configured to:
and testing the optimized APP, and issuing a new version of APP after the APP passes the test.
Optionally, the optimization terminal is further configured to:
acquiring equipment information of a client side for installing the current APP;
and determining the current APP optimization scheme according to the equipment information of the client and the currently read overtime starting item data.
Optionally, the device information of the client includes at least one of a processor model, a current power, a current network signal, and a memory.
A second aspect of the present application provides an APP start-up duration monitoring method, including:
acquiring data of each starting item of the current APP;
judging whether the current APP has an overtime starting item or not according to the starting item data;
if yes, generating an access link of the overtime starting item data;
and reading overtime starting item data based on the access link, and optimizing the current APP according to the read overtime starting item data.
Optionally, the method further includes:
acquiring starting item data of a current APP by using a debugging component, wherein the debugging component is deployed in the current APP;
and after the optimization operation of the current APP is completed, reading each starting item data after the APP is optimized from the debugging component.
Optionally, the determining, according to the start item data, whether the current APP has a timeout start item includes:
judging whether the execution duration represented by each startup item data is greater than a preset startup item execution duration threshold value or not;
if yes, the starting item is determined as a timeout starting item.
Optionally, the method further includes:
acquiring the total starting duration of the current APP;
judging whether the total starting duration of the current APP is greater than a preset total starting duration threshold value or not;
if yes, determining that the current APP has starting delay, and generating corresponding starting delay alarm information.
Optionally, the startup item data at least includes a startup item name and a startup item execution duration.
Optionally, the method further includes:
judging whether the number of the currently obtained startup item data is larger than the number of the startup item data obtained last time;
if yes, determining that the current APP has a newly added starting item;
and judging whether the newly added starting item is an overtime starting item or not according to the starting item data corresponding to the newly added starting item.
Optionally, the method further includes:
and testing the optimized APP, and issuing a new version of APP after the APP passes the test.
Optionally, the method further includes:
acquiring equipment information of a client side for installing the current APP;
and determining the current APP optimization scheme according to the equipment information of the client and the currently read overtime starting item data.
Optionally, the device information of the client includes at least one of a processor model, a current power, a current network signal, and a memory.
This application technical scheme has following advantage:
the application provides an APP start-up duration monitoring system and method, and the system comprises: data monitoring equipment and an optimization terminal; the data monitoring equipment is used for acquiring various starting item data of the current APP, judging whether an overtime starting item exists in the current APP according to the various starting item data, and if yes, sending an access link of the overtime starting item data to the optimization terminal; after the optimization terminal receives the access link of any overtime starting item data, reading the overtime starting item data based on the access link, and optimizing the current APP according to the read overtime starting item data. The system that above-mentioned scheme provided carries out the control that APP started duration through the start item that uses APP as the control unit, has accurately positioned the overtime start item among the current APP, and APP optimization stage need not all start items of whole investigation again, has ensured APP's optimization efficiency.
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 described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art according to these drawings.
Fig. 1 is a schematic data interaction diagram of an APP start-up duration monitoring system in the prior art;
fig. 2 is a schematic data interaction diagram of an APP start-up duration monitoring system according to an embodiment of the present application;
fig. 3 is a schematic data interaction diagram of another APP start-up duration monitoring system according to an embodiment of the present application;
fig. 4 is a schematic diagram of overall data interaction of an APP start-up duration monitoring system according to an embodiment of the present application;
fig. 5 is a flowchart illustrating an APP start-up duration monitoring method according to an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 some embodiments of the present application, but not all 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.
Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. In the description of the following examples, "plurality" means two or more unless specifically limited otherwise.
As shown in fig. 1, a schematic diagram of data interaction of an APP start-up duration monitoring system in the prior art is shown, in the prior art, it is usually determined whether the start-up speed of a current APP reaches a standard according to a relationship between an APP start-up duration and a preset threshold, and when the start-up speed of the current APP does not reach the standard, alarm information is sent to a developer to remind the developer to optimize the current APP. However, because the APP is started and is influenced by various factors, if the APP is detected based on the prior art, a developer needs to actively go to the quality management system to inquire the average starting time of the APP, because the current starting data is not comprehensively collected, the optimization work of the starting time is not targeted, the developer can only check all codes related to starting one by one, and the problematic starting item codes cannot be directly found, so that the optimization efficiency of the APP cannot be guaranteed.
In view of the above problems, the APP start-up duration monitoring system and method provided in the embodiments of the present application include: data monitoring equipment and an optimization terminal; the data monitoring equipment is used for acquiring various starting item data of the current APP, judging whether an overtime starting item exists in the current APP according to the various starting item data, and if yes, sending an access link of the overtime starting item data to the optimization terminal; after the optimization terminal receives the access link of any overtime starting item data, reading the overtime starting item data based on the access link, and optimizing the current APP according to the read overtime starting item data. The system that above-mentioned scheme provided carries out the control that APP started duration through the start item that uses APP as the control unit, has accurately positioned the overtime start item among the current APP, and APP optimization stage need not all start items of whole investigation again, has ensured APP's optimization efficiency.
The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
The embodiment of the application provides an APP starting time monitoring system, which is used for monitoring the starting time of an APP and optimizing the APP according to a monitoring result. The execution main body of the embodiment of the application is an electronic device, such as a server, a desktop computer, a notebook computer, a tablet computer, and other electronic devices that can be used for monitoring the APP start-up duration.
As shown in fig. 2, a schematic data interaction diagram of an APP start-up duration monitoring system provided in an embodiment of the present application is shown, where the system includes: data monitoring equipment and an optimization terminal.
The data monitoring equipment is used for acquiring various starting item data of the current APP, judging whether an overtime starting item exists in the current APP according to the various starting item data, and if yes, sending an access link of the overtime starting item data to the optimization terminal; after the optimization terminal receives the access link of any overtime starting item data, reading the overtime starting item data based on the access link, and optimizing the current APP according to the read overtime starting item data.
It should be noted that each APP executes some initialized codes at the time of starting, and these initialized codes are used for immediately responding to a function later used, such as a map, a notification message, audio/video processing, and the initialization of these functions may be referred to as a starting item. The startup item data can be unified into a JSON format, and the data monitoring equipment uniformly stores the obtained startup item data into an internal database so as to carry out planning management on the data.
Specifically, when the user starts the APP, that is, when the APP enters the start stage, the data monitoring device starts to collect each start item data of the current APP, that is, the start item data currently obtained by the data monitoring device is generated by the current start of the APP. And then the data monitoring equipment judges whether each starting item has the phenomenon of overtime starting according to the currently obtained starting item data, and if yes, the starting item is determined as the overtime starting item. And then producing an access link of the timeout starting item, and sending the access link to the optimization terminal, so that the optimization terminal can read corresponding timeout starting item data based on the access link, and further complete the APP optimization operation.
The startup item data at least includes the startup item name and the startup item execution duration, and may also include information such as startup time, which may be specifically expanded according to the actual situation.
Specifically, the data monitoring device can count the duration of each start item of the current APP because the start items all implement the same interface, so that a uniform code logic is woven into the interface during compilation, and the execution duration of each start item can be obtained.
In the prior art, whether the starting time of the APP exceeds the threshold value or not needs a developer to actively go to a system for inquiry, the system cannot actively monitor and send out early warning, and the developer cannot know that the starting time of the APP exceeds the preset index at the first time. In the embodiment of the application, the data monitoring equipment sends the access link of the overtime starting item data to the optimization terminal, not only is an access port for providing the overtime starting item data for the optimization terminal, but also an APP optimization prompt is sent to the optimization terminal to prompt the optimization terminal to optimize the current APP, so that a developer can know that the starting time of the APP exceeds a preset index based on the first time of the optimization terminal, and the supermarket starting item data can be quickly obtained.
Specifically, how the optimization terminal optimizes the current APP needs to be determined by combining various factors such as the type of the current timeout starting item, the current APP attribute, the current application scenario, and the like, and a specific implementation manner is not limited in the embodiment of the present application.
Further, in an embodiment, the optimization terminal is further configured to test the optimized APP after the optimization operation of the current APP is completed, and release a new version of APP after the APP passes the test.
Specifically, after determining that the APP optimization operation is completed and the starting duration of the current APP can reach the preset standard, the current development code of the APP is subjected to integrated processing, and then online testing is performed on the APP.
Wherein, the test standard can refer to the test standard before APP releases (online), and the starting speed of the released APP of the new edition will be obviously promoted.
On the basis of the above embodiment, after the optimization of the APP is completed, the optimization terminal needs to detect the start item data of the optimized APP again to determine whether the timeout start item data still exists at present, but since the data transmission from the APP to the data monitoring device has a certain time delay, the optimization terminal cannot obtain each start item data after the optimization of the APP in time.
In order to solve the above problem, as shown in fig. 3, as another data interaction diagram of an APP start-up duration monitoring system provided in the embodiment of the present application, as an implementable manner, on the basis of the foregoing embodiment, in an embodiment, the system further includes: and debugging the component.
The debugging component is used for acquiring various starting item data of the current APP, wherein the debugging component is deployed in the current APP, and the speed of acquiring various starting item data of the current APP by the debugging component is faster than that of the data monitoring equipment; and after the optimization operation of the current APP is completed, the optimization terminal reads each starting item data after the APP is optimized from the debugging component.
It should be noted that, in order to quickly reflect the code quality in the APP development phase, the APP may collect various quality indexes in the debugging phase by using independent components, and a developer may enter a corresponding page to view the concerned indexes, where such a component that collects and displays quality data in the development phase is referred to as a debugging component.
Specifically, in the embodiment of the present application, in order to enable the optimization terminal to quickly obtain each start item data after the APP is optimized, the debugging component in the current APP may be controlled to obtain each start item data of the current APP, so as to eliminate the time delay of start item data acquisition. And if the data of each starting item obtained by the current optimization terminal after the APP optimization still does not meet the preset standard, namely the timeout starting item still exists, continuing to optimize the APP.
On the basis of the foregoing embodiment, as an implementable manner, on the basis of the foregoing embodiment, in an embodiment, the data monitoring device is specifically configured to: judging whether the execution duration represented by each startup item data is greater than a preset startup item execution duration threshold value or not; if yes, the starting item is determined as a timeout starting item.
Wherein, according to the current APP quality requirement, the starting item execution duration threshold can be set to 100ms, and also can be adaptively adjusted according to the actual situation.
Specifically, in an embodiment, the data monitoring device is further configured to: acquiring the total starting duration of the current APP; judging whether the total starting time length of the current APP is greater than a preset total starting time length threshold value or not; if yes, determining that the starting delay exists in the current APP, and generating corresponding starting delay alarm information.
It should be noted that, in the starting stage of the APP, there may be a case where all the starting items are overtime, but the total starting duration (total starting duration) of the APP is too long, which may be caused by reasons such as too many starting items.
Specifically, the data monitoring equipment can also monitor the total starting duration of the current APP, and then judge whether the current APP has starting delay, if so, corresponding starting delay alarm information is generated. Then can send start delay alarm information to optimizing terminal, optimizing terminal will need to carry out whole investigation to this APP this moment to confirm to lead to its to take place to start the delayed concrete reason, then carry out the pertinence optimization to APP again, in order to eliminate APP's start delay problem.
Wherein, according to the current APP quality requirement, the starting total duration threshold value can be set to be 2s, and the adaptability adjustment can also be carried out according to the actual situation.
On the basis of the embodiment, because in the APP development process, the situation that a developer illegally adds a high time-consuming starting item may occur, the illegal operation cannot be monitored at present, the APP development specification becomes a decoration, and the whole quality system cannot form a closed loop.
In order to solve the above problem, as an implementable manner, on the basis of the foregoing embodiment, in an embodiment, the data monitoring device may further be configured to: judging whether the number of the currently obtained startup item data is larger than the number of the startup item data obtained last time; if yes, determining that the current APP has a newly added starting item; and judging whether the newly added starting item is an overtime starting item or not according to the starting item data corresponding to the newly added starting item.
Specifically, the data monitoring equipment acquires startup item data once when the current APP is started once, and if the startup item data obtained by the data monitoring equipment at the moment is more than the quantity of the startup item data acquired when the APP is started last time, the startup items of the APP can be determined to be increased, and the newly added startup item data can be determined according to the comparison result of the startup item data for two times, so that whether the newly added startup item is an overtime startup item or not is judged.
Further, if the newly added starting item is determined to be an overtime starting item, corresponding starting item abnormal alarm information is sent to the optimization terminal to remind a developer to remove the newly added starting item or to perform optimization adjustment on the newly added starting item.
On the basis of the above embodiment, since there is a certain difference in configuration between clients based on different users, in order to adapt to the client configurations of different users, the terminal may be further configured to: acquiring equipment information of a client side for installing a current APP; and determining the current APP optimization scheme according to the equipment information of the client and the currently read overtime starting item data.
The device information of the client comprises at least one of a processor model, current electric quantity, current network signals and a memory.
Illustratively, if the current electric quantity of the client corresponding to the current APP is low, it may be preliminarily determined that the timeout start item may be overtime due to insufficient electric quantity of the client, and then optimization in terms of electric quantity influence may be performed on the APP, so that the optimized APP no longer causes start delay due to insufficient electric quantity of the client.
The rule making of the APP optimization scheme can be set according to actual conditions, and the APP optimization scheme is not limited in the embodiment of the application.
Exemplarily, as shown in fig. 4, a schematic diagram of overall data interaction of an APP start-up duration monitoring system provided in the embodiment of the present application is shown, a developer in fig. 4 represents an optimized terminal currently used by a developer, a quality management system represents a data monitoring system provided in the embodiment of the present application, and a flow shown in fig. 4 is specifically a specific implementation manner of the flow shown in fig. 2, and the implementation principles of the two are the same and are not described again.
The APP starts long monitored control system that this application embodiment provided includes: data monitoring equipment and an optimization terminal; the data monitoring equipment is used for acquiring various starting item data of the current APP, judging whether an overtime starting item exists in the current APP according to the various starting item data, and if yes, sending an access link of the overtime starting item data to the optimization terminal; after the optimization terminal receives the access link of any overtime starting item data, reading the overtime starting item data based on the access link, and optimizing the current APP according to the read overtime starting item data. The system that above-mentioned scheme provided carries out the control that APP started duration through the start item that uses APP as the control unit, has accurately positioned the overtime start item among the current APP, and APP optimization stage need not all start items of whole investigation again, has ensured APP's optimization efficiency. And the granularity of the starting data is refined to each starting item, and when the total duration exceeds a reasonable threshold, the time-consuming positioning problem of each starting item can be checked, so that the goal is achieved, and the efficiency is improved. And through automatic monitoring the consumed time of the newly added starting item and sending out a notification early warning when the consumed time exceeds a reasonable threshold value, developers can find and solve problems as early as possible, the problems are prevented from being brought to the online, an inspection link is set for the development standard, and developers with weak quality consciousness are prevented from submitting codes which do not meet requirements. In addition, the optimized terminal can directly start the access link of the item data overtime to read the data without logging in the data monitoring equipment, so that the data reading efficiency is improved, and a foundation is laid for further improving the APP optimization efficiency.
The embodiment of the application provides an APP start-up duration monitoring method, which is a use method of the APP start-up duration monitoring system provided by the embodiment, that is, an execution main body of the method provides the APP start-up duration monitoring system for the embodiment.
As shown in fig. 5, a flowchart of an APP start-up duration monitoring method provided in the embodiment of the present application is schematically shown. The method comprises the following steps: .
and 504, reading the overtime starting item data based on the access link, and optimizing the current APP according to the read overtime starting item data.
Specifically, in an embodiment, the method further includes: acquiring starting item data of a current APP by using a debugging component, wherein the debugging component is deployed in the current APP; and after the optimization operation of the current APP is completed, reading each starting item data after the APP is optimized from the debugging component.
Specifically, in an embodiment, determining whether the current APP has a timeout start item according to each start item data includes: judging whether the execution duration represented by each startup item data is greater than a preset startup item execution duration threshold value or not; if yes, the starting item is determined as a timeout starting item.
Specifically, in an embodiment, the method further includes: acquiring the total starting duration of the current APP;
judging whether the total starting time length of the current APP is greater than a preset total starting time length threshold value or not; if yes, determining that the starting delay exists in the current APP, and generating corresponding starting delay alarm information.
Specifically, in one embodiment, the startup item data includes at least a startup item name and a startup item execution duration.
Specifically, in an embodiment, the method further includes: judging whether the number of the currently obtained startup item data is larger than the number of the startup item data obtained last time;
if yes, determining that the current APP has a newly added starting item;
and judging whether the newly added starting item is an overtime starting item or not according to the starting item data corresponding to the newly added starting item.
Specifically, in an embodiment, the method further includes:
and testing the optimized APP, and issuing a new version of APP after the APP passes the test.
Specifically, in an embodiment, the method further includes: acquiring equipment information of a client side for installing a current APP; and determining the current APP optimization scheme according to the equipment information of the client and the currently read overtime starting item data.
Specifically, in an embodiment, the device information of the client includes at least one of a processor model, a current power level, a current network signal, and a memory.
Regarding the APP start-up duration monitoring method in the present embodiment, the specific manner of each step has been described in detail in the embodiment of the system, and will not be elaborated here.
The APP start time monitoring method provided by the embodiment of the application is the use method of the APP start time monitoring system provided by the above embodiment, and the implementation manner and the principle are the same, and are not repeated.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. The utility model provides a long monitored control system of APP start-up which characterized in that includes: data monitoring equipment and an optimization terminal;
the data monitoring equipment is used for acquiring various starting item data of the current APP, judging whether an overtime starting item exists in the current APP according to the various starting item data, and if yes, sending an access link of the overtime starting item data to the optimization terminal;
and after receiving an access link of any overtime starting item data, the optimization terminal reads the overtime starting item data based on the access link and optimizes the current APP according to the read overtime starting item data.
2. The system of claim 1, further comprising:
the debugging component is used for acquiring various starting item data of the current APP, wherein the debugging component is deployed in the current APP, and the speed of acquiring various starting item data of the current APP by the debugging component is faster than that of the data monitoring equipment;
and after the optimization operation of the current APP is completed, the optimization terminal reads each starting item data after the APP is optimized from the debugging component.
3. The system of claim 1, wherein the data monitoring device is specifically configured to:
judging whether the execution duration represented by each startup item data is greater than a preset startup item execution duration threshold value or not;
if yes, the starting item is determined as a timeout starting item.
4. The system of claim 1, wherein the data monitoring device is further configured to:
acquiring the total starting duration of the current APP;
judging whether the total starting duration of the current APP is greater than a preset total starting duration threshold value or not;
if yes, determining that the current APP has starting delay, and generating corresponding starting delay alarm information.
5. The system of claim 1, wherein the startup item data includes at least a startup item name and a startup item execution duration.
6. The system of claim 1, wherein the data monitoring device is further configured to:
judging whether the number of the currently obtained startup item data is larger than the number of the startup item data obtained last time;
if yes, determining that the current APP has a newly added starting item;
and judging whether the newly added starting item is an overtime starting item or not according to the starting item data corresponding to the newly added starting item.
7. The system of claim 1, wherein the optimization terminal is further configured to:
and testing the optimized APP, and issuing a new version of APP after the APP passes the test.
8. The system of claim 1, wherein the optimization terminal is further configured to:
acquiring equipment information of a client side for installing the current APP;
and determining the current APP optimization scheme according to the equipment information of the client and the currently read overtime starting item data.
9. The system of claim 8, wherein the device information of the client comprises at least one of a processor model, a current power level, a current network signal, and a memory.
10. An APP starting time monitoring method is characterized by comprising the following steps:
acquiring data of each starting item of the current APP;
judging whether the current APP has an overtime starting item or not according to the starting item data;
if yes, generating an access link of the overtime starting item data;
and reading overtime starting item data based on the access link, and optimizing the current APP according to the read overtime starting item data.
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| CN202111294760.4A CN114003480A (en) | 2021-11-03 | 2021-11-03 | APP starting time monitoring system and method |
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| CN202111294760.4A CN114003480A (en) | 2021-11-03 | 2021-11-03 | APP starting time monitoring system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115499645A (en) * | 2022-08-31 | 2022-12-20 | 重庆长安汽车股份有限公司 | Method and device for optimizing starting speed of vehicle-mounted image, vehicle terminal and medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115499645A (en) * | 2022-08-31 | 2022-12-20 | 重庆长安汽车股份有限公司 | Method and device for optimizing starting speed of vehicle-mounted image, vehicle terminal and medium |
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