CN109254919A - A kind of embedded software diagnostic system and method - Google Patents
A kind of embedded software diagnostic system and method Download PDFInfo
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- CN109254919A CN109254919A CN201811016674.5A CN201811016674A CN109254919A CN 109254919 A CN109254919 A CN 109254919A CN 201811016674 A CN201811016674 A CN 201811016674A CN 109254919 A CN109254919 A CN 109254919A
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- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 133
- 238000012360 testing method Methods 0.000 claims abstract description 64
- 238000003745 diagnosis Methods 0.000 claims abstract description 13
- 230000006870 function Effects 0.000 claims description 31
- 238000004451 qualitative analysis Methods 0.000 claims description 6
- 238000004445 quantitative analysis Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 3
- 238000004321 preservation Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 2
- 230000004888 barrier function Effects 0.000 claims 1
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- 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
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- 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
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
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- 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
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
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Abstract
The invention discloses a kind of embedded software diagnostic system and method, system includes that web search and link block, Detection task obtain module, use-case detection configuration file parsing module, detection case selection module, testing result and fill in module, embedded software system failure prediction module, embedded software fault location module, diagnosis report generation module, server.The present invention detects use-case by embedded software and records detecting step, description details, is supplied to testing staff and detects according to embedded software detection use-case, testing staff can check the executive condition and specific performance level of detection;The present invention may also adapt to various network conditions, and full working scope can be diagnosed.Using present system and method, testing staff can be helped smoothly to efficiently accomplish diagnostic task, to ensure the safety of embedded software with this.
Description
Technical field
The present invention relates to a kind of embedded software diagnostic system and methods, i.e., can record whether there is or not network embedding
Enter the method and system of the use-case detection of formula software function and performance.
Background technique
With the continuous development of Embedded Industry, people are more preferable in addition to requiring the use feeling of embedded system, to embedded
The security performance of software is also extremely to value, therefore, it is necessary to diagnose to embedded software function with performance, to guarantee to be embedded in
The safety of formula software.
Currently, testing staff generally requires artificially to embedded software function and property in the diagnosis of embedded software
It can be carried out detection.Artificially to embedded software function and the performance detection usually detection place more severe in remote environment
Or field carries out, and the computer of testing staff is not connected with network at this time, is as in offline single machine state.In addition, to insertion
Formula software function and when performance detection, the details that many embedded software diagnostic systems cannot in real time during record diagnosis now
With interpretation of result.
Summary of the invention
In view of the deficiencies of the prior art, the present invention is intended to provide a kind of embedded software diagnostic system and method, are realized
Can detect simultaneously energy to embedded software function and performance by creation functional module in the case where whether there is or not network connection
Enough diagnosis, and record testing result and diagnostic analysis ensure to be embedded in so as to smoothly efficiently accomplish diagnostic task with this
The safety of formula software.
To achieve the goals above, the present invention adopts the following technical scheme:
A kind of embedded software diagnostic system, comprising:
Whether web search and link block: having network for searching for automatically, network be connected in the case where there is network,
And with server communication connection;
Detection task obtains module: for obtaining Detection task by online or offline mode, in each Detection task
Including at least one detection project, detection project detects configuration file by use-case and presents;
Use-case detects configuration file parsing module: for carrying out the parsing of hierarchical to use-case detection configuration file, thus
Use-case is embodied in the form of project tree detects configuration file;The project tree will test project and corresponding detection use-case to set layer
Level structure is shown;
Detect case selection module: then the detection project for selecting to need to carry out on project tree selects the detection
Now the detection use-case that needs carry out obtains the corresponding detecting step of detection use-case and expected results, and walks according to detection
Suddenly detection is executed;
Testing result fills in module: for filling in the testing result of each detection use-case by check box mode;If detection
Success is just filled in the testing result of the detection use-case in module in testing result labeled as " Y ";If detection failure, is just being examined
Result is surveyed to fill in the testing result of the detection use-case in module labeled as " N ";
Embedded software failure prediction module: it for passing through embedded software typical failure patterns of expression, and combines and occurs
The inside and outside patterns of expression showed by testing result of embedded software, provides this of embedded software before failing
Performance failure imminent in embedded software running and disabler are lost in a little patterns of expression Producing reasons, realization
Effect prediction;
Embedded software fault location module: qualitative and quantitative analysis is carried out by the multiple faults decoupling to embedded software and is obtained
It is out of order positioning;
Diagnosis report generation module: for the testing result according to each detection use-case, embedded software failure prediction mould
Prediction result, the fault location result of embedded software fault location module of block generate embedded software function and performance diagnogtics
Report, and the side that the embedded software function of generation and performance diagnogtics report are passed through into on-line automatic or offline mobile memory medium
Formula is uploaded to server;
Server: for storing Detection task and corresponding use-case detection configuration file, and storage embedded software function
It can be reported with performance diagnogtics.
Further, it is detected if use-cases all detect completion if the whole under detection project node to it on the project tree
It is automatic to hide.
The method diagnosed using above-mentioned embedded software diagnostic system, is included the following steps:
Whether S1, web search and link block are searched for automatically has network, and network is connected in the case where there is network;
S2, when there is network connection, Detection task obtains module by network connection to server, and from server
Line downloads Detection task;When not being connected to the network, Detection task is downloaded from server by mobile memory medium offline, examined
It surveys task acquisition module and Detection task is obtained by the mobile memory medium offline;It include at least one in each Detection task
Detection project, each detection project detect configuration file by use-case and present;
S3, the Detection task obtained in step S2 and corresponding use-case detection configuration file are imported into use-case detection configuration text
In part parsing module, use-case detects the parsing that configuration file parsing module carries out hierarchical to use-case detection configuration file, thus
Use-case is embodied in the form of project tree detects configuration file;
S4, the detection project that is detected is selected from project tree, and select to need to carry out under the detection project
Use-case is detected, the detecting step and expected results of the detection use-case are obtained;
S5, function and performance detection are carried out to embedded software according to the detecting step of detection use-case, obtains testing result;
The testing result and corresponding expected results that S6, comparison step S5 are obtained, if testing result and expected results one
It causes, then detects success, fill in the testing result of the detection use-case in module in testing result labeled as " Y ";If testing result
It is inconsistent with expected results, then failure is detected, is filled in module in testing result and is labeled as the testing result of the detection use-case
"N";
S7, embedded software failure prediction module are combined and are lost by embedded software typical failure patterns of expression
The inside and outside patterns of expression showed by testing result of embedded software, provides these of embedded software before imitating
Patterns of expression Producing reason, realization fail to performance failure imminent in embedded software running and disabler
Prediction;
S8, embedded software fault location module carry out qualitative and quantitative analysis by the multiple faults decoupling to embedded software
Obtain fault location;
S9, diagnosis report generation module are by the newest testing result of each detection use-case, embedded software failure prediction mould
Prediction result, the fault location result of embedded software fault location module of block generate embedded software function and performance diagnogtics
Report;
S10, when there is network connection, the embedded software function that is generated step S9 by web search and link block
It is uploaded to server in real time with performance diagnogtics report;When not being connected to the network, generate every time new embedded software function with
Performance diagnogtics carry out offline single machine immediately and automatically save when reporting, subsequently through mobile memory medium by the embedded software of preservation
Function manually copies server to performance diagnogtics report and is stored.
The beneficial effects of the present invention are:
1, the present invention detects use-case by embedded software and records detecting step, description details, is supplied to detection people
Member is detected according to embedded software function and performance detection use-case, and testing staff can check the executive condition and tool of diagnosis
Body performance level and diagnostic result.
2, the present invention is adapted to various network conditions, and full working scope can be diagnosed.
Using present system and method, testing staff can be helped smoothly to efficiently accomplish diagnostic task, to come with this
Ensure the safety of embedded software.
Detailed description of the invention
Fig. 1 is the system composition schematic diagram of the embodiment of the present invention;
Fig. 2 is the method implementation flow chart of the embodiment of the present invention.
Specific embodiment
Below with reference to attached drawing, the invention will be further described, it should be noted that following embodiment is with this technology
Premised on scheme, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to this
Embodiment.
As shown in Figure 1, a kind of embedded software diagnostic system, comprising:
Whether web search and link block: having network for searching for automatically, network be connected in the case where there is network,
And with server communication connection;
Detection task obtains module: for obtaining Detection task by online or offline mode, in each Detection task
Including at least one detection project, detection project detects configuration file by use-case and presents;
Use-case detects configuration file parsing module: for carrying out the parsing of hierarchical to use-case detection configuration file, thus
Use-case is embodied in the form of project tree detects configuration file;The project tree will test project and corresponding detection use-case to set layer
Level structure is shown;
Detect case selection module: then the detection project for selecting to need to carry out on project tree selects the detection
Now the detection use-case that needs carry out obtains the corresponding detecting step of detection use-case and expected results, and walks according to detection
Suddenly detection is executed;
Testing result fills in module: for filling in the testing result of each detection use-case by check box mode;If detection
Success is just filled in the testing result of the detection use-case in module in testing result labeled as " Y ";If detection failure, is just being examined
Result is surveyed to fill in the testing result of the detection use-case in module labeled as " N ";
Embedded software failure prediction module: it for passing through embedded software typical failure patterns of expression, and combines and occurs
The inside and outside patterns of expression showed by testing result of embedded software, provides this of embedded software before failing
Performance failure imminent in embedded software running and disabler are lost in a little patterns of expression Producing reasons, realization
Effect prediction;
Embedded software fault location module: qualitative and quantitative analysis is carried out by the multiple faults decoupling to embedded software and is obtained
It is out of order positioning;
Diagnosis report generation module: for the testing result according to each detection use-case, embedded software failure prediction mould
Prediction result, the fault location result of embedded software fault location module of block generate embedded software function and performance diagnogtics
Report, and the side that the embedded software function of generation and performance diagnogtics report are passed through into on-line automatic or offline mobile memory medium
Formula is uploaded to server;
Server: for storing Detection task and corresponding use-case detection configuration file, and storage embedded software function
It can be reported with performance diagnogtics.
As shown in Fig. 2, whether S1, web search and link block are searched for automatically has network, connect in the case where there is network
It is connected to network;
S2, when there is network connection, Detection task obtains module by network connection to server, and from server
Line downloads Detection task;When not being connected to the network, Detection task is downloaded from server by mobile memory medium offline, examined
It surveys task acquisition module and Detection task is obtained by the mobile memory medium offline;It include at least one in each Detection task
Detection project, each detection project detect configuration file by use-case and present;
S3, the Detection task obtained in step S2 and corresponding use-case detection configuration file are imported into use-case detection configuration text
In part parsing module, use-case detects the parsing that configuration file parsing module carries out hierarchical to use-case detection configuration file, thus
Use-case is embodied in the form of project tree detects configuration file;
S4, the detection project that is detected is selected from project tree, and select to need to carry out under the detection project
Use-case is detected, the detecting step and expected results of the detection use-case are obtained;
S5, function and performance detection are carried out to embedded software according to the detecting step of detection use-case, obtains testing result;
The testing result and corresponding expected results that S6, comparison step S5 are obtained, if testing result and expected results one
It causes, then detects success, fill in the testing result of the detection use-case in module in testing result labeled as " Y ";If testing result
It is inconsistent with expected results, then failure is detected, is filled in module in testing result and is labeled as the testing result of the detection use-case
"N";
S7, embedded software failure prediction module are combined and are lost by embedded software typical failure patterns of expression
The inside and outside patterns of expression showed by testing result of embedded software, provides these of embedded software before imitating
Patterns of expression Producing reason, realization fail to performance failure imminent in embedded software running and disabler
Prediction;
S8, embedded software fault location module carry out qualitative and quantitative analysis by the multiple faults decoupling to embedded software
Obtain fault location;
S9, diagnosis report generation module are by the newest testing result of each detection use-case, embedded software failure prediction mould
Prediction result, the fault location result of embedded software fault location module of block generate embedded software function and performance diagnogtics
Report;
S10, when there is network connection, the embedded software function that is generated step S9 by web search and link block
It is uploaded to server in real time with performance diagnogtics report;When not being connected to the network, generate every time new embedded software function with
Performance diagnogtics carry out offline single machine immediately and automatically save when reporting, subsequently through mobile memory medium by the embedded software of preservation
Function manually copies server to performance diagnogtics report and is stored.
For those skilled in the art, it can be provided various corresponding according to above technical solution and design
Change and modification, and all these change and modification, should be construed as being included within the scope of protection of the claims of the present invention.
Claims (3)
1. a kind of embedded software diagnostic system characterized by comprising
Whether web search and link block: having network for searching for automatically, is connected to network in the case where there is network, and with
Server communication connection;
Detection task obtains module: for obtaining Detection task by online or offline mode, including in each Detection task
At least one detection project, detection project detect configuration file by use-case and present;
Use-case detects configuration file parsing module: for carrying out the parsing of hierarchical to use-case detection configuration file, thus with item
The form of mesh tree embodies use-case and detects configuration file;The project tree will test project and corresponding detection use-case to set level knot
Structure is shown;
Detect case selection module: then the detection project for selecting to need to carry out on project tree selects under the detection project
The detection use-case that carries out of needs, obtain the corresponding detecting step of detection use-case and expected results, and hold according to detecting step
Row detection;
Testing result fills in module: for filling in the testing result of each detection use-case by check box mode;If detecting successfully,
Just fill in the testing result of the detection use-case in module in testing result labeled as " Y ";If detection failure, just in testing result
It fills in the testing result of the detection use-case in module labeled as " N ";
Embedded software failure prediction module: it for passing through embedded software typical failure patterns of expression, and combines and fails
The inside and outside patterns of expression showed by testing result of preceding embedded software, provides these tables of embedded software
Regular Producing reason is levied, realization fail to performance failure imminent in embedded software running and disabler pre-
It surveys;
Embedded software fault location module: qualitative and quantitative analysis is carried out by the multiple faults decoupling to embedded software and obtains event
Barrier positioning;
Diagnosis report generation module: for according to each detection testing result of use-case, embedded software failure prediction module
Prediction result, the fault location result of embedded software fault location module generate embedded software function and performance diagnogtics report
It accuses, and the embedded software function of generation and performance diagnogtics is reported by way of on-line automatic or offline mobile memory medium
It is uploaded to server;
Server: for store Detection task and corresponding use-case detection configuration file, and storage embedded software function with
Performance diagnogtics report.
2. embedded software diagnostic system according to claim 1, which is characterized in that if detection on the project tree
It is then automatic hiding to it that whole detection use-cases under mesh node all detect completion.
3. utilizing the method that embedded software diagnostic system is diagnosed described in any of the above-described claim, which is characterized in that
Include the following steps:
Whether S1, web search and link block are searched for automatically has network, and network is connected in the case where there is network;
S2, when there is network connection, Detection task obtains module by network connection to server, and under online in server
Carry Detection task;When not being connected to the network, Detection task is downloaded by mobile memory medium offline from server, detection is appointed
Business obtains module and obtains Detection task offline by the mobile memory medium;It include at least one detection in each Detection task
Project, each detection project detect configuration file by use-case and present;
S3, the Detection task obtained in step S2 and corresponding use-case detection configuration file are imported use-case and detects configuration file solution
It analyses in module, use-case detects the parsing that configuration file parsing module carries out hierarchical to use-case detection configuration file, thus with item
The form of mesh tree embodies use-case and detects configuration file;
S4, the detection project detected is selected from project tree, and select the detection for needing to carry out under the detection project
Use-case obtains the detecting step and expected results of the detection use-case;
S5, function and performance detection are carried out to embedded software according to the detecting step of detection use-case, obtains testing result;
The testing result and corresponding expected results that S6, comparison step S5 are obtained, if testing result is consistent with expected results,
It detects successfully, fills in the testing result of the detection use-case in module in testing result labeled as " Y ";If testing result and expection
As a result inconsistent, then failure is detected, is filled in the testing result of the detection use-case in module in testing result labeled as " N ";
Before S7, embedded software failure prediction module pass through embedded software typical failure patterns of expression, and combination is failed
The inside and outside patterns of expression showed by testing result of embedded software provides these characterizations of embedded software
Regular Producing reason, realization fail to performance failure imminent in embedded software running and disabler pre-
It surveys;
S8, embedded software fault location module carry out qualitative and quantitative analysis by the multiple faults decoupling to embedded software and obtain
Fault location;
S9, diagnosis report generation module are by each detection use-case newest testing result, embedded software failure prediction module
Prediction result, the fault location result of embedded software fault location module generate embedded software function and performance diagnogtics report
It accuses;
S10, when there is network connection, by web search and link block by the step S9 embedded software function of generating and property
Energy diagnosis report is uploaded to server in real time;When not being connected to the network, new embedded software function and performance are generated every time
Offline single machine is carried out when diagnosis report immediately to automatically save, subsequently through mobile memory medium by the embedded software function of preservation
Manually server is copied to performance diagnogtics report to be stored.
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Publication number | Priority date | Publication date | Assignee | Title |
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CN115878497A (en) * | 2023-02-22 | 2023-03-31 | 苏州成科自控设备有限公司 | Embedded software programming and diagnosing system and method thereof |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110126055A1 (en) * | 2009-11-20 | 2011-05-26 | Fujitsu Limited | Information processing apparatus, and method of diagnosis |
CN103149901A (en) * | 2013-02-04 | 2013-06-12 | 南京理工大学 | Embedded intelligent monitoring and remote maintaining system of manufacturing equipment |
CN103235756A (en) * | 2013-04-22 | 2013-08-07 | 北京航空航天大学 | Simulation testing method for partition application software of embedded system |
CN203965533U (en) * | 2014-04-28 | 2014-11-26 | 苏州华天国科电力科技有限公司 | A kind of individual line subscriber energy-saving potential and quality of power supply intelligent diagnosing instrument |
CN104407971A (en) * | 2014-11-18 | 2015-03-11 | 中国电子科技集团公司第十研究所 | Method for automatically testing embedded software |
CN106708684A (en) * | 2017-02-15 | 2017-05-24 | 国网安徽省电力公司宣城供电公司 | Virtual environment testing hardware system for transformer substation |
-
2018
- 2018-09-03 CN CN201811016674.5A patent/CN109254919B/en not_active Expired - Fee Related
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110126055A1 (en) * | 2009-11-20 | 2011-05-26 | Fujitsu Limited | Information processing apparatus, and method of diagnosis |
CN103149901A (en) * | 2013-02-04 | 2013-06-12 | 南京理工大学 | Embedded intelligent monitoring and remote maintaining system of manufacturing equipment |
CN103235756A (en) * | 2013-04-22 | 2013-08-07 | 北京航空航天大学 | Simulation testing method for partition application software of embedded system |
CN203965533U (en) * | 2014-04-28 | 2014-11-26 | 苏州华天国科电力科技有限公司 | A kind of individual line subscriber energy-saving potential and quality of power supply intelligent diagnosing instrument |
CN104407971A (en) * | 2014-11-18 | 2015-03-11 | 中国电子科技集团公司第十研究所 | Method for automatically testing embedded software |
CN106708684A (en) * | 2017-02-15 | 2017-05-24 | 国网安徽省电力公司宣城供电公司 | Virtual environment testing hardware system for transformer substation |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115878497A (en) * | 2023-02-22 | 2023-03-31 | 苏州成科自控设备有限公司 | Embedded software programming and diagnosing system and method thereof |
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