CN107346285A - A kind of method for detecting memory leakage and device - Google Patents
A kind of method for detecting memory leakage and device Download PDFInfo
- Publication number
- CN107346285A CN107346285A CN201710384337.0A CN201710384337A CN107346285A CN 107346285 A CN107346285 A CN 107346285A CN 201710384337 A CN201710384337 A CN 201710384337A CN 107346285 A CN107346285 A CN 107346285A
- Authority
- CN
- China
- Prior art keywords
- memory
- target program
- leakage
- curve map
- sampled data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/3636—Software debugging by tracing the execution of the program
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/366—Software debugging using diagnostics
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention discloses a kind of method for detecting memory leakage, this method comprises the following steps:In target program running, periodic sampling is carried out to the memory size that target program takes, obtains the sampled data of setting duration;Based on sampled data, EMS memory occupation curve map is generated;According to the figure tendency of EMS memory occupation curve map, determine that target program whether there is RAM leakage.The technical scheme provided using the embodiment of the present invention, it can simply, fast and accurately position the situation that target program whether there is RAM leakage, application developer is avoided to analyze substantial amounts of system journal and program's source code, or it is re-introduced into the cumbersome mode of intrusive mood RAM leakage instrument, the memory leak detecting time is shortened, improves operating efficiency.The invention also discloses a kind of RAM leakage device, has relevant art effect.
Description
Technical field
The present invention relates to technical field of software development, more particularly to a kind of method for detecting memory leakage and device.
Background technology
RAM leakage is the FAQs in software development process.RAM leakage (Memory Leak), refer to transport in program
During row, fail the situation for the internal memory that release has not used, be the misoperation by application developer to internal memory mostly
Cause.RAM leakage is determined whether there is, is the further key precondition for solving Memory Leaks.
At present, it is to rely on the commissioning experience that application developer enriches more determines whether there is RAM leakage, Huo Zhetong
Memory leak detecting instrument is crossed to be detected.
The shortcomings that certain be present in traditional method for detecting memory leakage.First, it is artificial to judge easily error, moreover, to journey
The requirement of sequence developer is higher, and learning cost is higher;Secondly, existing memory leak detecting instrument is to belong to intrusive mood inspection mostly
Survey, it is necessary to be embedded into recompilated in program's source code after could use, development amount is larger, during required memory leak detecting
Between it is longer, operating efficiency is relatively low.
The content of the invention
It is an object of the invention to provide a kind of method for detecting memory leakage and device, is determined whether there is with simple and effective
RAM leakage, shorten the memory leak detecting time, improve operating efficiency.
In order to solve the above technical problems, the present invention provides following technical scheme:
A kind of method for detecting memory leakage, including:
In target program running, periodic sampling is carried out to the memory size that the target program takes, set
The long sampled data of timing;
Based on the sampled data, EMS memory occupation curve map is generated;
According to the figure tendency of the EMS memory occupation curve map, determine that the target program whether there is RAM leakage.
In a kind of embodiment of the present invention, the figure tendency according to the EMS memory occupation curve map, really
The fixed target program whether there is RAM leakage, including:
If the figure tendency of the EMS memory occupation curve map is increasing trend always, it is determined that the target program is present
RAM leakage.
In a kind of embodiment of the present invention, after it RAM leakage be present in the determination target program,
Also include:
The target program, or outputting alarm information are marked, the fortune of the target program is carried in the warning information
Line number PID.
In a kind of embodiment of the present invention, the memory size taken to the target program carries out the cycle
Sampling, including:
The memory size progress cycle taken using the internal memory mapping directive of operating system itself to the target program is adopted
Sample.
In a kind of embodiment of the present invention, when the operating system is (SuSE) Linux OS, the internal memory reflects
It is pmap orders to penetrate order;When the operating system is Windows operating system, the internal memory mapping directive is ordered for tasklist
Order.
A kind of memory leak detecting device, including:
Sampled data obtains module, in target program running, the internal memory taken to the target program to be big
Small carry out periodic sampling, obtain the sampled data of setting duration;
Curve map generation module, for based on the sampled data, generating EMS memory occupation curve map;
RAM leakage determining module, for the figure tendency according to the EMS memory occupation curve map, determine the target journey
Sequence whether there is RAM leakage.
In a kind of embodiment of the present invention, the RAM leakage determining module, it is specifically used for:
If the figure tendency of the EMS memory occupation curve map is increasing trend always, it is determined that the target program is present
RAM leakage.
In a kind of embodiment of the present invention, in addition to post-processing module, it is used for:
After the determination target program has RAM leakage, the target program, or outputting alarm are marked
Information, the operation numbering PID of the target program is carried in the warning information.
In a kind of embodiment of the present invention, the sampled data obtains module, is specifically used for:
The memory size progress cycle taken using the internal memory mapping directive of operating system itself to the target program is adopted
Sample.
In a kind of embodiment of the present invention, when the operating system is (SuSE) Linux OS, the internal memory reflects
It is pmap orders to penetrate order;When the operating system is Windows operating system, the internal memory mapping directive is ordered for tasklist
Order.
The technical scheme provided using the embodiment of the present invention, in target program running, target program is taken
Memory size carry out periodic sampling, the sampled data of setting duration can be obtained, based on sampled data, generation EMS memory occupation is bent
Line chart, according to the figure tendency of EMS memory occupation curve map, determine that target program whether there is RAM leakage.Can simply, it is quick,
Accurately positioning target program whether there is the situation of RAM leakage, avoid application developer analyze substantial amounts of system journal with
Program's source code, or the cumbersome mode of intrusive mood RAM leakage instrument is re-introduced into, the memory leak detecting time is shortened, is improved
Operating efficiency.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of implementing procedure figure of method for detecting memory leakage in the embodiment of the present invention;
Fig. 2 is a kind of schematic diagram of EMS memory occupation curve map in the embodiment of the present invention;
Fig. 3 is another schematic diagram of EMS memory occupation curve map in the embodiment of the present invention;
Fig. 4 is another schematic diagram of EMS memory occupation curve map in the embodiment of the present invention;
Fig. 5 is a kind of structural representation of memory leak detecting device in the embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiment is only part of the embodiment of the present invention, rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
Shown in Figure 1, a kind of implementing procedure figure of the method for detecting memory leakage provided by the embodiment of the present invention should
Method may comprise steps of:
S110:In target program running, periodic sampling is carried out to the memory size that target program takes, set
The long sampled data of timing.
In actual applications, several programs can be installed, each program has internal memory to account in the process of running in system
Demand, each normal running of program are also EMS memory occupation, the process of internal memory release, are taken when needed necessarily
Internal memory, discharge the internal memory not used.
The program installed in system can be monitored, when monitoring target program operation, you can start to target
The memory size that program takes carries out periodic sampling.Target program is any one program installed in preassigned system.
Specifically, simple shell language can be combined, using the internal memory mapping directive of operating system itself to target journey
The memory size that sequence takes carries out periodic sampling, and when such as operating system be (SuSE) Linux OS, internal memory mapping directive is pmap lives
Order, when operating system is Windows operating system, internal memory mapping directive is tasklist orders.Can be by the PID of target program
As the input parameter of pmap orders or tasklist orders, PID is the numbering for the program distribution that system is operation.
It should be noted that internal memory mapping directive be not limited to it is above-mentioned enumerate this, can also be that other have identical work(
The internal memory mapping directive of energy, the embodiment of the present invention are without limitation.
The internal memory taken using this non-intrusion type mode of the internal memory mapping directive of operating system itself to target program is big
Small carry out periodic sampling, it is not necessary to made any change to program's source code.
In target program running, periodic sampling is carried out to the memory size that target program takes, can be set
The long sampled data of timing.The information of the memory size that target program takes under each sampling instant is included in sampled data.
Sampling period can be set and be adjusted according to actual conditions, such as set the sampling period as 10 seconds, and the present invention is real
It is without limitation to apply example.
In addition, it is necessary to explanation, during target program normal operation, in initial operating stage, its memory size taken fluctuation
It is larger, with the increase of running time, the memory size taken tends towards stability, so, duration setting is unsuitable too small, can basis
Actual conditions are set and adjusted, and are such as set as 1 hour, the embodiment of the present invention is without limitation.
S120:Based on sampled data, EMS memory occupation curve map is generated.
In step S110, the sampled data for setting duration is obtained, sampled data includes target journey under each sampling instant
The information for the memory size that sequence takes.Based on sampled data, EMS memory occupation curve map can be generated.Painted specifically, can utilize
Figure instrument, such as the drafting of Excel instruments progress EMS memory occupation curve map, x-axis represents sampling instant, and y-axis represents that EMS memory occupation is big
It is small.
S130:According to the figure tendency of EMS memory occupation curve map, determine that target program whether there is RAM leakage.
EMS memory occupation curve map is that the sampled data based on setting duration generates, and it has certain figure tendency.
In the embodiment of the present invention, it can determine that target program whether there is RAM leakage according to the figure tendency of EMS memory occupation curve map.
Specifically, if the figure tendency of EMS memory occupation curve map is increasing trend always, it is determined that target program is present
RAM leakage.
It is understood that in target program running, its memory size taken has certain fluctuation.
Target program initial operating stage, its memory size taken is possible and little, big with the internal memory for increasing its occupancy of run time
It is small to be stepped up, after a period of time is run, no longer substantially increase when peak value reaches stable state relatively.In target program just
In normal running, it can constantly committed memory, and discharge the internal memory not used.With the increase of operation duration, target
The memory size that program takes does not have obvious growth, but normal fluctuation fluctuated.
So if carrying out the sampled data that periodic sampling obtains setting duration after target program runs a period of time,
The figure tendency of EMS memory occupation curve map based on sampled data generation is moderate tone, then is illustrating target program operation just
Often, no RAM leakage, as shown in Fig. 2 wherein, abscissa represents sampling instant time, ordinate represents EMS memory occupation size
memory。
If the sampled data that periodic sampling obtains setting duration is carried out when target program just brings into operation, based on this
The figure tendency of the EMS memory occupation curve map of sampled data generation is peak steady trend, then illustrates target program normal operation,
Without RAM leakage, as shown in figure 3, wherein, abscissa represents sampling instant time, ordinate represents EMS memory occupation size
memory。
And in target program running, if internal memory is not discharged normally, the internal memory that may result in its occupancy is big
Small constantly to increase, the figure tendency of EMS memory occupation curve map shows as increasing trend always, as shown in figure 4, wherein, abscissa table
Show sampling instant time, ordinate represents EMS memory occupation size memory.In such a case, it is possible to determine that target program is present
The situation of RAM leakage.
In embodiments of the present invention, non-intrusion type memory leak detecting is carried out based on Principle of Statistics, can be simple and quick
Positioning target program whether there is RAM leakage, for further solve Memory Leaks decision-making foundation is provided.
The method provided using the embodiment of the present invention, in target program running, in target program occupancy
Deposit size and carry out periodic sampling, the sampled data of setting duration can be obtained, based on sampled data, generate EMS memory occupation curve
Figure, according to the figure tendency of EMS memory occupation curve map, determines that target program whether there is RAM leakage.Can simply, it is quick, accurate
True positioning target program whether there is the situation of RAM leakage, avoid application developer from analyzing substantial amounts of system journal and journey
Sequence source code, or the cumbersome mode of intrusive mood RAM leakage instrument is re-introduced into, the memory leak detecting time is shortened, improves work
Make efficiency.
In one embodiment of the invention, after it is determined that target program has RAM leakage, this method can also wrap
Include following steps:
Target program, or outputting alarm information are marked, the operation numbering PID of target program is carried in warning information.
After it is determined that target program has RAM leakage, target program can be marked, or outputting alarm letter
Breath, so that application developer further analyses in depth solution Memory Leaks.Target program can be carried in warning information
Operation numbering PID.
The method for detecting memory leakage that the embodiment of the present invention is provided is simple to operate, in actual applications can be by O&M people
Member is performed, and is further solved it is determined that giving application developer when RAM leakage be present again, it is possible to reduce human resources are thrown
Enter cost.
Corresponding to above method embodiment, the embodiment of the present invention additionally provides a kind of memory leak detecting device, hereafter
A kind of memory leak detecting device of description can be mutually to should refer to a kind of above-described method for detecting memory leakage.
Shown in Figure 5, the device can include with lower module:
Sampled data obtains module 510, for the memory size in target program running, taken to target program
Periodic sampling is carried out, obtains the sampled data of setting duration;
Curve map generation module 520, for based on sampled data, generating EMS memory occupation curve map;
RAM leakage determining module 530, for the figure tendency according to EMS memory occupation curve map, whether determine target program
RAM leakage be present.
The device provided using the embodiment of the present invention, in target program running, in target program occupancy
Deposit size and carry out periodic sampling, the sampled data of setting duration can be obtained, based on sampled data, generate EMS memory occupation curve
Figure, according to the figure tendency of EMS memory occupation curve map, determines that target program whether there is RAM leakage.Can simply, it is quick, accurate
True positioning target program whether there is the situation of RAM leakage, avoid application developer from analyzing substantial amounts of system journal and journey
Sequence source code, or the cumbersome mode of intrusive mood RAM leakage instrument is re-introduced into, the memory leak detecting time is shortened, improves work
Make efficiency.
In a kind of embodiment of the present invention, RAM leakage determining module 530, it is specifically used for:
If the figure tendency of EMS memory occupation curve map is increasing trend always, it is determined that target program has internal memory and let out
Dew.
In a kind of embodiment of the present invention, in addition to post-processing module, it is used for:
After it is determined that target program has RAM leakage, target program, or outputting alarm information, warning information are marked
The middle operation numbering PID for carrying target program.
In a kind of embodiment of the present invention, sampled data obtains module 510, is specifically used for:
The memory size taken using the internal memory mapping directive of operating system itself to target program carries out periodic sampling.
In a kind of embodiment of the present invention, when operating system is (SuSE) Linux OS, internal memory mapping directive is
Pmap orders;When operating system is Windows operating system, internal memory mapping directive is tasklist orders.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be with it is other
The difference of embodiment, between each embodiment same or similar part mutually referring to.For dress disclosed in embodiment
For putting, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part
Explanation.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, the composition and step of each example are generally described according to function in the above description.These
Function is performed with hardware or software mode actually, application-specific and design constraint depending on technical scheme.Specialty
Technical staff can realize described function using distinct methods to each specific application, but this realization should not
Think beyond the scope of this invention.
Directly it can be held with reference to the step of method or algorithm that the embodiments described herein describes with hardware, processor
Capable software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said
It is bright to be only intended to help and understand technical scheme and its core concept.It should be pointed out that for the common of the art
For technical staff, under the premise without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, these
Improve and modification is also fallen into the protection domain of the claims in the present invention.
Claims (10)
- A kind of 1. method for detecting memory leakage, it is characterised in that including:In target program running, periodic sampling is carried out to the memory size that the target program takes, when obtaining setting Long sampled data;Based on the sampled data, EMS memory occupation curve map is generated;According to the figure tendency of the EMS memory occupation curve map, determine that the target program whether there is RAM leakage.
- 2. method for detecting memory leakage according to claim 1, it is characterised in that described according to the EMS memory occupation curve The figure tendency of figure, determine that the target program whether there is RAM leakage, including:If the figure tendency of the EMS memory occupation curve map is increasing trend always, it is determined that the target program has internal memory Leakage.
- 3. method for detecting memory leakage according to claim 2, it is characterised in that determine that the target program is deposited described After RAM leakage, in addition to:The target program, or outputting alarm information are marked, the operation that the target program is carried in the warning information is compiled Number PID.
- 4. according to the method for detecting memory leakage described in any one of claims 1 to 3, it is characterised in that described to the target The memory size that program takes carries out periodic sampling, including:The memory size taken using the internal memory mapping directive of operating system itself to the target program carries out periodic sampling.
- 5. method for detecting memory leakage according to claim 4, it is characterised in that the operating system operates for Linux During system, the internal memory mapping directive is pmap orders;When the operating system is Windows operating system, the internal memory reflects It is tasklist orders to penetrate order.
- A kind of 6. memory leak detecting device, it is characterised in that including:Sampled data obtains module, in target program running, the memory size taken to the target program to enter Row periodic sampling, obtain the sampled data of setting duration;Curve map generation module, for based on the sampled data, generating EMS memory occupation curve map;RAM leakage determining module, for the figure tendency according to the EMS memory occupation curve map, determine that the target program is It is no RAM leakage to be present.
- 7. memory leak detecting device according to claim 6, it is characterised in that the RAM leakage determining module, tool Body is used for:If the figure tendency of the EMS memory occupation curve map is increasing trend always, it is determined that the target program has internal memory Leakage.
- 8. memory leak detecting device according to claim 7, it is characterised in that also including post-processing module, be used for:After the determination target program has RAM leakage, the target program, or outputting alarm information are marked, The operation numbering PID of the target program is carried in the warning information.
- 9. the memory leak detecting device according to any one of claim 6 to 8, it is characterised in that the sampled data obtains Module is obtained, is specifically used for:The memory size taken using the internal memory mapping directive of operating system itself to the target program carries out periodic sampling.
- 10. memory leak detecting device according to claim 9, it is characterised in that the operating system operates for Linux During system, the internal memory mapping directive is pmap orders;When the operating system is Windows operating system, the internal memory reflects It is tasklist orders to penetrate order.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710384337.0A CN107346285A (en) | 2017-05-26 | 2017-05-26 | A kind of method for detecting memory leakage and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710384337.0A CN107346285A (en) | 2017-05-26 | 2017-05-26 | A kind of method for detecting memory leakage and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107346285A true CN107346285A (en) | 2017-11-14 |
Family
ID=60254484
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710384337.0A Pending CN107346285A (en) | 2017-05-26 | 2017-05-26 | A kind of method for detecting memory leakage and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107346285A (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109491897A (en) * | 2018-10-26 | 2019-03-19 | 成都安恒信息技术有限公司 | A kind of system resource leak testing method based on trend analysis |
CN110704217A (en) * | 2019-08-27 | 2020-01-17 | 努比亚技术有限公司 | Memory leak detection method, terminal and computer readable storage medium |
CN110795355A (en) * | 2019-10-30 | 2020-02-14 | 深圳开立生物医疗科技股份有限公司 | Method and device for detecting memory leakage |
CN112214394A (en) * | 2020-09-02 | 2021-01-12 | 深圳市优必选科技股份有限公司 | Memory leak detection method, device and equipment |
CN112988490A (en) * | 2021-04-21 | 2021-06-18 | 浙江乾冠信息安全研究院有限公司 | Memory leak detection method and device, electronic equipment and medium |
CN113434364A (en) * | 2021-06-25 | 2021-09-24 | 青岛海尔科技有限公司 | Screen-side equipment memory detection method and device, storage medium and electronic device |
CN113672417A (en) * | 2021-07-28 | 2021-11-19 | 杭州迪普科技股份有限公司 | Memory leakage alarm method and device |
CN115437783A (en) * | 2022-08-17 | 2022-12-06 | 荣耀终端有限公司 | Searching and killing method, electronic equipment and readable storage medium |
WO2023284793A1 (en) * | 2021-07-16 | 2023-01-19 | 维沃移动通信有限公司 | Memory leak processing method and apparatus, and electronic device |
CN117112193A (en) * | 2023-04-10 | 2023-11-24 | 荣耀终端有限公司 | Memory resource management method and electronic equipment |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070033365A1 (en) * | 2005-08-02 | 2007-02-08 | Kalyanaraman Vaidyanathan | Method and apparatus for detecting memory leaks in computer systems |
CN104133761A (en) * | 2013-11-28 | 2014-11-05 | 腾讯科技(成都)有限公司 | Memory usage analysis method, device and system of mobile terminal |
CN104866409A (en) * | 2015-05-29 | 2015-08-26 | 小米科技有限责任公司 | Method and apparatus for monitoring memory leakage |
CN105204996A (en) * | 2015-09-24 | 2015-12-30 | 努比亚技术有限公司 | Memory leak detection device and method and terminal |
-
2017
- 2017-05-26 CN CN201710384337.0A patent/CN107346285A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070033365A1 (en) * | 2005-08-02 | 2007-02-08 | Kalyanaraman Vaidyanathan | Method and apparatus for detecting memory leaks in computer systems |
CN104133761A (en) * | 2013-11-28 | 2014-11-05 | 腾讯科技(成都)有限公司 | Memory usage analysis method, device and system of mobile terminal |
CN104866409A (en) * | 2015-05-29 | 2015-08-26 | 小米科技有限责任公司 | Method and apparatus for monitoring memory leakage |
CN105204996A (en) * | 2015-09-24 | 2015-12-30 | 努比亚技术有限公司 | Memory leak detection device and method and terminal |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109491897A (en) * | 2018-10-26 | 2019-03-19 | 成都安恒信息技术有限公司 | A kind of system resource leak testing method based on trend analysis |
CN110704217A (en) * | 2019-08-27 | 2020-01-17 | 努比亚技术有限公司 | Memory leak detection method, terminal and computer readable storage medium |
CN110795355A (en) * | 2019-10-30 | 2020-02-14 | 深圳开立生物医疗科技股份有限公司 | Method and device for detecting memory leakage |
CN112214394A (en) * | 2020-09-02 | 2021-01-12 | 深圳市优必选科技股份有限公司 | Memory leak detection method, device and equipment |
CN112214394B (en) * | 2020-09-02 | 2024-05-03 | 深圳市优必选科技股份有限公司 | Memory leakage detection method, device and equipment |
CN112988490A (en) * | 2021-04-21 | 2021-06-18 | 浙江乾冠信息安全研究院有限公司 | Memory leak detection method and device, electronic equipment and medium |
CN113434364A (en) * | 2021-06-25 | 2021-09-24 | 青岛海尔科技有限公司 | Screen-side equipment memory detection method and device, storage medium and electronic device |
CN113434364B (en) * | 2021-06-25 | 2024-03-22 | 青岛海尔科技有限公司 | Method and device for detecting memory of screen terminal equipment, storage medium and electronic device |
WO2023284793A1 (en) * | 2021-07-16 | 2023-01-19 | 维沃移动通信有限公司 | Memory leak processing method and apparatus, and electronic device |
CN113672417A (en) * | 2021-07-28 | 2021-11-19 | 杭州迪普科技股份有限公司 | Memory leakage alarm method and device |
CN115437783A (en) * | 2022-08-17 | 2022-12-06 | 荣耀终端有限公司 | Searching and killing method, electronic equipment and readable storage medium |
CN117112193A (en) * | 2023-04-10 | 2023-11-24 | 荣耀终端有限公司 | Memory resource management method and electronic equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107346285A (en) | A kind of method for detecting memory leakage and device | |
CN107480039B (en) | Small file read-write performance test method and device for distributed storage system | |
KR101034409B1 (en) | Determining an actual amount of time a processor consumes in executing a portion of code | |
CN108897724B (en) | Function completion progress determining method and device | |
US20190004920A1 (en) | Technologies for processor simulation modeling with machine learning | |
CN104407951A (en) | Method for automatically testing complete server | |
CN107360265B (en) | A kind of equipment exclusive identification code acquisition methods, device and mobile terminal | |
US20090241096A1 (en) | Dynamic Software Tracing | |
CN112597631B (en) | Super real-time calculation method for axial power deviation, electronic equipment and storage medium | |
CN110912764A (en) | Test method, system, equipment and storage medium | |
CN109634867B (en) | Software testing method and device based on data simulation system and storage medium | |
CN109491883A (en) | Performance detects control methods and system simultaneously between applying under a kind of Android platform more | |
CN106502642A (en) | A kind of evaluation method of eda tool and system | |
CN103728516A (en) | Soc chip clock detection circuit | |
CN107729238A (en) | A kind of plug-in unit adjustment method, system, device and computer-readable recording medium | |
CN111025223B (en) | Clock correction method, device, equipment and storage medium of electric energy meter | |
CN112988565B (en) | Interface automatic test method, device, computer equipment and storage medium | |
JP5601236B2 (en) | Information extraction program, information extraction method, and information extraction apparatus | |
CN110569153A (en) | method and system for testing refresh stability of nvme hard disk firmware | |
CN110399301A (en) | A kind of code test method, device, equipment and readable storage medium storing program for executing | |
CN113820649B (en) | Method and device for testing service life reliability of firmware of electric energy meter | |
CN113626342A (en) | Model online testing method and device | |
US20120072878A1 (en) | Automated management of verification waivers | |
CN113032998A (en) | Medical instrument life evaluation method and device | |
CN107273708A (en) | A kind of coal burning caloricity data check method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171114 |