CN101673200B - The detection method of user input model and device - Google Patents
The detection method of user input model and device Download PDFInfo
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- CN101673200B CN101673200B CN200910179855.4A CN200910179855A CN101673200B CN 101673200 B CN101673200 B CN 101673200B CN 200910179855 A CN200910179855 A CN 200910179855A CN 101673200 B CN101673200 B CN 101673200B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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- H—ELECTRICITY
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- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
Abstract
The invention discloses a kind of detection method and device of user input model, comprise at said apparatus: user input model memory module, for preserving and resolving the user input model inputted; Meta-model memory module, for preserving and resolving the basic constraint condition of predefined meta-model; Element module detection module, for according to above-mentioned basic constraint condition, whether the relation detected between the element of user input model and element meets the basic constraint condition of meta-model; Output module, for being presented at the file corresponding with described user input model or view by the testing result of output.According to technical scheme provided by the invention, make user in the problem that just can find model early stage of modeling and design, avoid in exploitation and proof procedure, because modelling slip up the system reconfiguration caused, greatly reduce the time of developing and verifying.
Description
Technical field
The present invention relates to mobile communication technology field, particularly relate to a kind of detection method and device of user input model.
Background technology
Current phone exploitation substantially follow demand, system, detailed design, coding, test general flow do exploitation.Although this method is the specification basic procedure of mobile phone development to a certain extent, ensure that the quality of the mobile phone products produced, cost, the cost such as later maintenance and upgrading of its additional authentication and test are very large.Further, when adopting in this way, the detection of software error (Bug) needs to spend a large amount of manpower and materials.And often a lot of insurmountable Bug finally traces back in the defect of the model that initial stage system defines, finally reconstruction model may be needed, thus add a large amount of work, and cannot judge that the model framework of whole software in restructuring procedure is the need of Amending design scheme easily.
Summary of the invention
In view of this, the invention provides a kind of detection scheme of user input model, in order to solve in mobile phone development process, cause the problem of system reconfiguration due to modeling and the modelling of design phase error.
According to an aspect of the present invention, a kind of detection method of user input model is provided.
Detection method according to user input model of the present invention comprises: according to the basic constraint condition of predefined meta-model, whether the relation detected between the element of user input model and element meets the basic constraint condition of meta-model, and output detections result, wherein, the basic constraint condition of predefined meta-model comprises: the definition rule of the fundamental relation between the definition rule of the fundamental element of meta-model, the fundamental element of meta-model.
Preferably, above-mentioned output detections result comprises: testing result be presented on the file corresponding with user input model or view, wherein, testing result comprises: type of error, errorlevel, amending advice.
Further, whether the relation detected between the element of user input model and element meets the basic constraint condition of meta-model, comprise: obtain element corresponding with one or more fundamental elements of meta-model in user input model, and whether the element detecting acquisition meets the definition rule of described one or more fundamental element of meta-model; Obtain the relation between element corresponding with one or more fundamental relations of meta-model in user input model, and whether the relation between the element of detection acquisition meets the definition rule of one or more fundamental relations of meta-model.
Further, before output detections result, said method also comprises: according to predefined error pattern set, whether the relation detected between the element of user input model and element mates with the error pattern in error pattern set, wherein, defect mode set comprises the one or more error patterns be associated with the element of meta-model; According to predefined expansion detected rule, whether the relation detected between the element of user input model and element meets expansion checks rule, wherein, expansion check rule comprise the fundamental element of meta-model expanded definition rule, meta-model fundamental element between fundamental relation expanded definition rule.
Preferably, before detection user input model, said method comprises: the basic constraint condition of pre-defined meta-model.
Further, after the basic constraint condition of the above-mentioned meta-model of definition, the method also comprises: according to the fundamental relation between the fundamental element of predefined meta-model and fundamental element, determine the one or more error patterns be associated with fundamental element and fundamental relation, and according to one or more error pattern definition error set of modes; According to fundamental relation between the fundamental element of predefined meta-model and fundamental element, determine the one or more expanded definition rules be associated with fundamental element and fundamental relation, and according to one or more expanded definition rule definition expansion detected rule.
According to another aspect of the present invention, a kind of pick-up unit of user input model is provided.
Pick-up unit according to user input model of the present invention comprises: user input model memory module, meta-model memory module, element module detection module and output module, wherein, user input model memory module, for preserving and resolving the user input model inputted; Meta-model memory module, for preserving and resolving the basic constraint condition of predefined meta-model; Element module detection module, for according to basic constraint condition, whether the relation detected between the element of user input model and element meets the basic constraint condition of meta-model; Output module, for the testing result of output is presented at the file corresponding with user input model or view, wherein, testing result comprises: type of error, errorlevel and amending advice.
Further, said apparatus also comprises: error pattern memory module, error pattern detection module, extension rule memory module and extension rule detection module, wherein, error pattern memory module, for preserving and resolving predefined error pattern set, wherein, described error pattern set comprises the one or more error patterns be associated with the element of meta-model; Error pattern detection module, for according to error pattern set, detect relation between the element of user input model and element whether with the pattern match in defect mode set; Extension rule memory module, for preserving and resolving predefined expansion detected rule, wherein, expansion check rule comprise the fundamental element of meta-model expanded definition rule, meta-model fundamental element between fundamental relation expanded definition rule; Whether extension rule detection module, meet expansion detected rule for the relation detected between the element of user input model and element.
Further, said apparatus also comprises: meta-model and user model mapping block, meta-model and error pattern mapping block, wherein, meta-model and user model mapping block, for obtaining element corresponding with one or more fundamental elements of element module in user input model, and whether the element detecting acquisition meets the definition rule of one or more fundamental elements of meta-model; For obtaining the relation between element corresponding with one or more fundamental relations of meta-model in user input model, and whether the relation between the element of detection acquisition meets the definition rule of one or more fundamental relations of meta-model; Meta-model and error pattern mapping block, for according to fundamental relation between the fundamental element of predefined meta-model and fundamental element, determine the one or more error patterns be associated with fundamental element and fundamental relation.
By at least one scheme above-mentioned of the present invention, according to the basic constraint condition of predefined meta-model, error pattern set and expansion detected rule, user input model is detected, makes user in the problem that just can find model early stage of modeling and design.Avoid in exploitation and proof procedure, because modelling slip up the system reconfiguration caused, greatly reduce the time of developing and verifying.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from instructions, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write instructions, claims and accompanying drawing and obtain.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the process flow diagram of the detection method of user input model according to the embodiment of the present invention;
Fig. 2 is the process flow diagram detecting foundation according to the definition of the embodiment of the present invention;
Fig. 3 is the process flow diagram of detection method of the user input model based on the design of mobile phone dynamic interaction according to the embodiment of the present invention;
Fig. 4 is the structural representation of the pick-up unit of user input model according to the embodiment of the present invention.
Embodiment
Functional overview
In the embodiment of the present invention, by the basic constraint condition of pre-defined meta-model, error pattern set and expansion detected rule, according to the basic constraint condition of predefined meta-model, error pattern set and expansion detected rule, user input model is detected, detect rear line and return test result, prompting user error type, error level and amending advice.
When not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.
According to the embodiment of the present invention, provide firstly a kind of detection method of user input model.
According to the detection method of the user input model of the embodiment of the present invention, comprise: according to the basic constraint condition of predefined meta-model, whether the relation detected between the element of user input model and element meets the basic constraint condition of meta-model, and output detections result.
Preferably, the basic constraint condition of above-mentioned predefined meta-model comprises: the definition rule of the fundamental relation between the definition rule of the fundamental element of meta-model, the fundamental element of meta-model.
Fig. 1 is the process flow diagram of the detection method of user input model according to the embodiment of the present invention, and as shown in Figure 1, in specific implementation process, said method can be refined as following steps (step 102-step 108):
Element corresponding with one or more fundamental elements of element module in step 102, acquisition user input model, and whether the element detecting acquisition meets the definition rule of fundamental element corresponding in meta-model; Obtain the relation between element corresponding with one or more fundamental relations of meta-model in user input model, and whether the relation between the element of detection acquisition meets the definition rule of fundamental relation corresponding in meta-model;
Step 104, according to predefined error pattern set, whether the relation detected between the element of user input model and element mates with the some error patterns in error pattern set;
Preferably, above-mentioned defect mode set comprises the one or more error patterns be associated with the element in meta-model.
Step 106, according to predefined expansion detected rule, whether the relation detected between the element of user input model and element meets expansion checks rule;
Preferably, expansion checks that rule comprises the expanded definition rule of certain fundamental relation between the expanded definition rule for certain fundamental element of meta-model, the fundamental element for meta-model.
Step 108, output detections result, be presented at testing result on the file corresponding with user input model or view, and wherein, described testing result comprises: type of error, errorlevel, amending advice.
In concrete implementation process, before detection user input model, also need the basic constraint condition of the meta-model being defined as detection foundation, error pattern set, expansion expansion detected rule.
Fig. 2 is the process flow diagram detecting foundation according to the definition of the embodiment of the present invention, as shown in Figure 2, and idiographic flow following (step 202-step 206):
The basic constraint condition of step 202, definition meta-model, comprises; The definition rule of each fundamental element in meta-model, the definition rule of the information such as title, attribute of such as element, the definition rule of the fundamental relation between the fundamental element of described meta-model, the definition rule of the fundamental relations such as such as, succession between element, concurrency, call relation;
Step 204, according to certain fundamental relation between certain fundamental element of predefined above-mentioned meta-model and fundamental element, determine and one or more error patterns that above-mentioned fundamental element and above-mentioned fundamental relation are associated, namely determine the frequent fault pattern that may occur, and all error patterns are aggregated into error pattern set;
Step 206, according to fundamental relation between the fundamental element of predefined meta-model and fundamental element, determine that the expanded definition which fundamental element and fundamental relation need user to increase except former definition rule is regular, all expanded definition rules are gathered for expansion detected rule.
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
Fig. 3 is the process flow diagram of detection method of the user input model based on the design of mobile phone dynamic interaction according to the embodiment of the present invention.As shown in Figure 3, in mobile phone dynamic interaction design process, adopt the detection method of user input model, concrete input and output following (step 302-step 312):
Step 302, input the basic constraint condition of predefined mobile phone dynamic interaction design element model;
Step 304, input the set of predefined common model error pattern;
Step 306, input predefined user's extension rule;
Step 308, input based on mobile phone dynamic interaction design multiple user input models (user input model 1, user input model 2 ... user input model n);
In specific implementation process, in step 302 to step 308, adopt XML technology, to input data encoding and be kept in pick-up unit.
Step 310, pick-up unit, according to the basic constraint condition of meta-model of input, error pattern set and user's extension rule, detect multiple user input models (user input model 1, user input model 2 ... user input model n) of input;
In concrete implementation process, XML technology is utilized to resolve the data encoding of detection foundation preserved and the data encoding of multiple user input model; After parsing, set up corresponding relation between the element in user input model and the element of meta-model, certain element determining in user input model is the example of an element-specific in meta-model; After setting up all corresponding relations, detect the correctness of relation between the element of user input model and element, namely detect relation between the element of user input model and element and whether meet the basic constraint condition of first predefined model, then according to the error pattern set after resolving and expansion detected rule, all user input models are detected further.
Type of error, errorlevel, amending advice etc. are presented on the file corresponding with described user input model or view by step 312, output detections result.
According to the embodiment of the present invention, additionally provide a kind of pick-up unit of user input model.
Fig. 4 is the structural representation of the pick-up unit of user input model according to the embodiment of the present invention.As shown in Figure 4, this device comprises: user input model memory module 40, meta-model memory module 41, element module detection module 42 and output module 43.
User input model memory module 40, for preserving the user input model of input, and when detecting, resolves user input model; Meta-model memory module 41, for preserving the basic constraint condition of predefined meta-model, and when detecting, the basic constraint condition of analytical element model; Element module detection module 42, for the basic constraint condition according to meta-model, whether the relation detected between the element of user input model and element meets the basic constraint condition of meta-model; Output module 43, for the testing result of output is presented at the file corresponding with user input model or view, wherein, testing result comprises: type of error, errorlevel and amending advice.
Further, according to the pick-up unit of the user input model of the embodiment of the present invention, also comprise: error pattern memory module 44, error pattern detection module 45, extension rule memory module 46 and extension rule detection module 47.
Error pattern memory module 44, for preserving and resolving predefined error pattern set, wherein, error pattern set comprises the one or more error patterns be associated with the element of meta-model; Error pattern detection module 45, for according to error pattern set, detect relation between the element of user input model and element whether with the pattern match in defect mode set; Extension rule memory module 46, for preserving and resolving predefined expansion detected rule, wherein, expansion check rule comprise the fundamental element of meta-model expanded definition rule, meta-model fundamental element between fundamental relation expanded definition rule; Whether extension rule detection module 47, meet expansion detected rule for the relation detected between the element of user input model and element.
Further, according to the pick-up unit of the user input model of the embodiment of the present invention, also comprise: meta-model and user model mapping block 48, meta-model and defect mode mapping block 49.
Meta-model and user model mapping block 48, for obtaining element corresponding with one or more fundamental elements of element module in user input model, and whether the element detecting acquisition meets the definition rule of the one or more fundamental elements in meta-model; For obtaining the relation between element corresponding with one or more fundamental relations of meta-model in user input model, and whether the relation between the element of detection acquisition meets the definition rule of described one or more fundamental relation of meta-model; Meta-model and error pattern mapping block 49, for according to fundamental relation between the fundamental element of predefined meta-model and fundamental element, determine the one or more error patterns be associated with fundamental element and fundamental relation.
As mentioned above, by the technical scheme that the embodiment of the present invention provides, according to the basic constraint condition of predefined meta-model, error pattern set and expansion detected rule, user input model is detected, make user in the problem that just can find model early stage of modeling and design.Avoid in exploitation and proof procedure, because modelling slip up the system reconfiguration caused, greatly reduce the time of developing and verifying.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1. a detection method for user input model, is characterized in that, comprising:
According to the basic constraint condition of predefined meta-model, whether the relation detected between the element of user input model and element meets the basic constraint condition of described meta-model, and output detections result, wherein, the basic constraint condition of described predefined meta-model comprises: the definition rule of the fundamental relation between the definition rule of the fundamental element of described meta-model, the fundamental element of described meta-model;
Before the described testing result of output, described method also comprises:
According to predefined error pattern set, whether the relation detected between the element of described user input model and element mates with the error pattern in error pattern set, wherein, described defect mode set comprises the one or more error patterns be associated with the element of described meta-model;
According to predefined expansion detected rule, whether the relation detected between the element of described user input model and element meets described expansion detected rule, wherein, described expansion detected rule comprises the expanded definition rule of the fundamental relation between the fundamental element of the expanded definition rule of the fundamental element of described meta-model, described meta-model;
Wherein, output detections result comprises: testing result be presented on the file corresponding with described user input model or view, and wherein, described testing result comprises: type of error, errorlevel, amending advice.
2. method according to claim 1, is characterized in that, whether the relation detected between the element of described user input model and element meets the basic constraint condition of described meta-model, comprising:
Obtain element corresponding with one or more fundamental elements of described meta-model in described user input model, and whether the described element detecting acquisition meets the definition rule of described one or more fundamental element of described meta-model;
Obtain the relation between element corresponding with one or more fundamental relations of described meta-model in described user input model, and whether the relation between the described element of detection acquisition meets the definition rule of described one or more fundamental relation of described meta-model.
3. method according to claim 1 and 2, is characterized in that, before detection user input model, described method comprises: the basic constraint condition of pre-defined described meta-model.
4. method according to claim 3, is characterized in that, after the basic constraint condition of the described meta-model of definition, described method also comprises:
According to fundamental relation between the fundamental element of predefined described meta-model and fundamental element, determine and one or more error patterns that described fundamental element and described fundamental relation are associated, and according to described one or more error pattern definition error set of modes;
According to the fundamental relation between the fundamental element of predefined described meta-model and fundamental element, determine the one or more expanded definition rules be associated with described fundamental element and described fundamental relation, and according to described one or more expanded definition rule definition expansion detected rule.
5. a pick-up unit for user input model, is characterized in that, comprising:
User input model memory module, for preserving and resolving the user input model inputted;
Meta-model memory module, for preserving and resolving the basic constraint condition of predefined meta-model;
Element module detection module, for according to described basic constraint condition, whether the relation detected between the element of described user input model and element meets the basic constraint condition of described meta-model;
Output module, for the testing result of output is presented at the file corresponding with described user input model or view, wherein, described testing result comprises: type of error, errorlevel and amending advice;
Described device also comprises:
Error pattern memory module, for preserving and resolving predefined error pattern set, wherein, described error pattern set comprises the one or more error patterns be associated with the element of described meta-model;
Error pattern detection module, for according to described error pattern set, detect relation between the element of described user input model and element whether with the pattern match in described defect mode set;
Extension rule memory module, for preserving and resolving predefined expansion detected rule, wherein, described expansion detected rule comprises the expanded definition rule of the fundamental relation between the fundamental element of the expanded definition rule of the fundamental element of described meta-model, described meta-model;
Whether extension rule detection module, meet described expansion detected rule for the relation detected between the element of described user input model and element.
6. device according to claim 5, is characterized in that, described device also comprises:
Meta-model and user model mapping block, for obtaining element corresponding with one or more fundamental elements of described element module in described user input model, and whether the described element detecting acquisition meets the definition rule of described one or more fundamental element of described meta-model; For obtaining the relation between element corresponding with one or more fundamental relations of described meta-model in described user input model, and whether the relation between the described element of detection acquisition meets the definition rule of described one or more fundamental relation of described meta-model;
Meta-model and error pattern mapping block, for according to fundamental relation between the fundamental element of predefined described meta-model and fundamental element, determine and one or more error patterns that described fundamental element and described fundamental relation are associated.
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| CN200910179855.4A CN101673200B (en) | 2009-10-15 | 2009-10-15 | The detection method of user input model and device |
| PCT/CN2010/076090 WO2011044792A1 (en) | 2009-10-15 | 2010-08-18 | Method and apparatus for detecting user input model |
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| CN101673200B (en) * | 2009-10-15 | 2015-10-21 | 中兴通讯股份有限公司 | The detection method of user input model and device |
| CN103399817B (en) * | 2013-08-13 | 2017-05-31 | 清华大学 | Based on module modeling and model inspection integral system detection means |
| CN108664674A (en) * | 2017-03-31 | 2018-10-16 | 大连万达集团股份有限公司 | Method and its device for reducing inspection in engineering to component in BIM models |
| CN108133103B (en) * | 2017-12-21 | 2021-07-30 | 大连芯巧电子科技有限公司 | Electronic design DFM detection system, method and medium |
| CN114816156A (en) * | 2022-05-12 | 2022-07-29 | 网易（杭州）网络有限公司 | Model detection method and device, terminal device and storage medium |
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| CN1722161A (en) * | 2005-04-29 | 2006-01-18 | 东华大学 | Electronic government affair cooperative work data standard compliance testing method |
| CN101119241A (en) * | 2007-08-24 | 2008-02-06 | 北京启明星辰信息技术有限公司 | Condition detection based protocol abnormity detecting method and system |
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| CN1722161A (en) * | 2005-04-29 | 2006-01-18 | 东华大学 | Electronic government affair cooperative work data standard compliance testing method |
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