CN107239908A - A kind of system maturity assessment method of information system - Google Patents
A kind of system maturity assessment method of information system Download PDFInfo
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Abstract
The present invention relates to information systems evaluation technical field, a kind of system maturity appraisal procedure of disclosed information system is to use to set up each maturity Grade successively from bottom to up；Firstly the need of the polymerization model for setting up single technology maturity grade, integrated maturity grade to subsystem technology maturity grade；Then the relative importance of n subsystems of consideration, sets up subsystem interoperability maturity grade, the subsystem mutually polymerization model of cognitive maturity grade and subsystem technology maturity grade to interoperability maturity grade, mutual cognitive maturity grade and technology maturity grade respectively；Interoperability maturity grade, the polymerization model of mutual cognitive maturity grade and technology maturity grade are finally set up, so as to obtain information system system maturity assessment result；Instant invention overcomes the assessment defect of existing monotechnics, relative importance, the maturity that can be constituted to information system between subsystem carry out comprehensive assessment.
Description
Technical field
The present invention relates to information systems evaluation technical field, more particularly to a kind of system maturity assessment of information system are new
Method.
Background technology
Military Information System is by organic crosslinkings of all kinds of operating resources such as detection equipment, commander's equipment, intelligent weapons one
Body, is leading using information, information is embedded into physical domain, cognitive territory and social domain, be cover physical domain, information field, cognitive territory,
The complex gigantic system in social domain.Current technology maturity lays particular emphasis on the assessment of monotechnics mostly, and system maturation degree is seldom examined
Consider between each single technology, the relative importance between Military Information System composition subsystem, it is difficult to information system into
Maturity carries out comprehensive assessment.
The content of the invention
To overcome the deficiencies in the prior art, the present invention is for the integration of Military Information System, amalgamation, permeability, increasing
There is provided a kind of system maturity appraisal procedure of information system for the features such as value property.
For achieving the above object, the present invention is adopted the following technical scheme that：
A kind of system maturity appraisal procedure of information system, is by the interoperability maturity of information system, mutually cognition
Maturity and system technology maturity are characterized, and interoperability maturity, mutually cognitive maturity and system technology maturity take again
Certainly in the subsystem interoperability maturity, mutual cognitive maturity and technology maturity of n subsystems, subsystem technology maturity is again
Depending on the single technology maturity and Integration ofTechnology maturity of respective support；
Maturity at all levels is described using scalar quantization evaluation form, information system system maturity body
It is that maturity grade is represented, the maturity that interoperates is represented with interoperability maturity grade, mutual cognitive maturity mutually cognitive maturation
Grade is represented degree, system technology maturity is represented with system technology maturity grade；Subsystem interoperability maturity subsystem
Interoperability maturity grade is represented, the mutual cognitive maturity of subsystem is represented with the mutual cognitive maturity grade of subsystem, subsystem skill
Art maturity is represented with subsystem technology maturity grade；Single technology maturity then uses technology maturity grade to represent, skill
The integrated maturity of art is represented with integrated maturity grade；The maturity of each level is corresponding with corresponding risk respectively, i.e., ripe
Degree higher grade, and risk is lower；Maturity lower grade, and risk is higher；Using setting up each maturity etc. successively from bottom to up
Level evaluation model；Firstly the need of setting up single technology maturity grade, integrated maturity grade to subsystem technology maturity etc.
The polymerization model of level；Then consider the relative importance of n subsystems, subsystem interoperability maturity grade is set up respectively, is divided
System mutually cognitive maturity grade and subsystem technology maturity grade to interoperability maturity grade, mutually cognition maturity grade
With the polymerization model of technology maturity grade；Finally set up interoperability maturity grade, mutually cognitive maturity grade and technology into
The polymerization model of ripe degree grade, so as to obtain information system system maturity assessment result；
There is interactive relation two-by-two between the complication system that information system is made up of n subsystems, subsystem, using line
Property weighting thought set up polymerization model, weight therein uses networking analytic hierarchy process (AHP), to reflect interaction between subsystem
Relation；Specific information system system maturity assessment step is as follows：
1. the subsystem composition and key technology of information system are determined；2. analysis information system interoperability maturity, mutually
Relative importance between cognitive maturity and system technology maturity, weight vectors are solved based on analytic hierarchy process (AHP)；3. analyze
Interactive relation between each subsystem of information system, build weight networking judgment matrix, solve subsystem weight to
Amount；4. each subsystem inherent technical architecture and integrated relationship are analyzed, the integrated maturity based on maturity standard formulation subsystem
With technology maturity classification standard；5. the classification standard according to definition, determines the single technology maturity and technology of each subsystem
Between integrated maturity；6. the technology maturity of each subsystem is calculated, the interoperability maturity of each subsystem is determined and recognizes each other
Know maturity；7. the interoperability maturity, mutual cognitive maturity and technology maturity of information system are calculated；8. information system is calculated
System maturity；
Subsystem maturity assessment model therein, information system subsystem maturity characterizes subsystem development and evolution
State and level, are the bases of system maturity assessment, according to the step of information system system maturity assessment, are to point first
The evaluation for maturity of uniting；
1), technology maturities grade and evaluation, single technology maturity and Integration ofTechnology maturity are information system systems
The basis of maturity analysis, single technology maturity and Integration ofTechnology maturity grade determine the height of system maturity；It is logical
Single technology maturity is often divided into multistage：From small to large, the horizontal more and more higher of technology maturity；
A. find to illustrate technical scheme and/or application, the key function of c. verification technique schemes with report general principle, b.
And characteristic, d. verified in laboratory environment basic components/principle prototype effectively, e. proof departments in actual use simulated environment
Effectively, f. verifies system/subsystem model or principle prototype effectively to part/principle prototype in actual use simulated environment, and g. exists
System prototype is verified in use environment effectively, h. real systems pass through many subtasks by test and validation, i. real systems
Application verification；
Integration ofTechnology maturity characterize between two technologies can integrated state, generally Integration ofTechnology maturity is divided
For multistage：From small to large, the horizontal more and more higher of Integration ofTechnology maturity；
A. by the interface between abundant, detailed description identification technology, b. is present necessarily between two kinds of technologies by interface
Interaction, can carry out between c. technologies in order, be fully integrated with interacting, with compatibility, d. is matter integrated technology
Amount is with ensureing that detailed description is very abundant, and e. is establishment integrated technology, management and terminates and can effectively control, and f. is to reach expection
Using integrated technology can be received, changed and configuration information, and g. Integration ofTechnologies pass through detailed check and checking, it is believed that be
Feasible, h. is under system environments, and actual integrated complete is tested with demonstrating, and reaches mission requirements, and i. is integrated to pass through success
Task-cycle be verified；
Assuming that in information system i-th, (i=1,2 ..., n) item subsystem is related to j key technologies altogether, and each single item is closed
Respective technology maturity grade known to key technology, then have technology maturity grade vector
J key technologies are carried out with integrated maturity analysis between any two, it is constructed between can be fully-integrated, then build
Found the Integration ofTechnology maturity ranking matrix of i-th subsystem
In formula It is taken as 9 grades.
Then calculate the technology maturity grade vector of i-th subsystem
The number of techniques that each single item key technology is integrated in i-th subsystem is different, it is assumed that and kth (k=1,2 ..., j)
The integrated number of techniques of item technology is ik, then have the standardized technique maturity grade vector of i-th subsystem
Then the technology maturity of i-th subsystem is expressed as
2), interoperability maturity grade and evaluation, in order to be more readily understood the military activity vector properties of information system with
And the system combat ability essence of essential information system, using the mutual behaviour of enhanced interoperability Capability Maturity Model evaluation information system
Make maturity；6 ranks of its Military Information System：
Title：Isolation level, entry level, functional level, integrated level, cooperate level, adapts to level；
Structure：Without structure design, structural approach, architecture of project, Engineering System structure, federated architecture, fusion
Architecture；
Using：Handwork, anti-orphan procedure, routine data separation, componentization, serviceization, Agility；
Facility：It is independent, point-to-point connection, local interconnection, wide area connection, grid connection, definition connection；
Safety：Physical isolation, end points protection, local protection, wide area protection, cross-domain protection, immune protection；
O＆M：Manual O＆M, end equipment O＆M, local O＆M, wide area O＆M, link O＆M, defines O＆M；
Data：Privately owned model, procedural model, functional mode, domain model is cross-domain to share, flexible construction；
Structure attribute therein is the evaluation to information system architecture method maturity, and application attribute is mutual to software
The evaluation of operational capacity, facility attribute is the evaluation to network interoperability ability, and O＆M attribute is to information resources dispatching
Evaluation, security attribute is the evaluation to safe and secret maturity, and data attribute is the evaluation to data structure modeling maturity；
For i-th subsystem, it is assumed that above-mentioned interoperability attribute to interoperate maturity contribution weight be respectivelyThe maturity grade of each attribute is respectivelyThe then normalization of i-th subsystem
Interoperability maturity is expressed as
3), mutually cognitive maturity grade and evaluation, utilizes the mutual cognitive energy of mutual cognitive maturity grade evaluation information system
Power, uses for reference and mutually understands and mutually follow Capability Maturity Model, sets up mutually cognitive maturity Grade Model；
Title：Isolation level, entry level, functional level, integrated level, cooperate level, adapts to level；
System/rule：The traditional regulations of acquiescence, local system/rule, department's system/rule, field system/rule is cross-domain
System/rule, adapts to system/rule；
Situation：Handwork, situation benchmark, knowledge classification framework, field framework associates framework, panorama framework；
Decision-making：Character express, text/chart is stated, basic decision key element, field decision element, and cooperate decision element, adaptability
Key element；
Accuse：Experience accuses that end is accused, basis is accused, field is accused, joint is accused, agility is accused；
Supervision/assessment：Without supervision/assessment, campaign-styled assessment, periodic is assessed, and system formula is assessed, joint assessment, is adapted to
Property assess；
System/rules properties therein are the evaluations that scope and degree are implemented to specifications such as the knowledge tokens of information system,
Situation attribute is to characterize commenting for situation of battlefield degree to the reference of information system knowledge based structure, uniformity, relevance etc.
Valency, decision attribute is to accurate characterization DECISION KNOWLEDGE journeys such as reference, uniformity of the information system based on decision element, relevances
The evaluation of degree, it is based on the evaluation for accusing benchmark knowledge accurate characterization commander's control process to information system to accuse attribute, supervise/
Evaluation attribute is the various abilities of evaluation information system and the maturity of carrying out measures；
For i-th subsystem, it is assumed that above-mentioned mutual cognitive attribute is respectively to the contribution weight of mutual cognitive maturityThe maturity grade of each attribute is respectivelyThe then normalization of i-th subsystem
Mutually cognition maturity is expressed as
4), subsystem weight, subsystem is interoperated maturity, subsystem mutually cognitive maturity, subsystem technology into
When ripe degree is polymerize, significance level of the subsystem to system is represented using weight；N item subsystems in information system are due to letter
Breath interaction and shared relationship, they be connect each other, it is interactional, can be handled well, instead using analytic network process
The mutual importance degree reflected between each subsystem；1~9 scale based on analytic network process is measured to subsystem
Change, by the matrix of multilevel iudge two-by-two of calculating network, build and have no right hypermatrix and weighting hypermatrix, calculating limit hypermatrix,
Finally carry out integrated ordered obtaining weighted value；Assuming that the weight vectors for trying to achieve n subsystems are W=(w1,w2,…,wn)；
System maturity assessment model therein, the method based on weighted sum is interoperated into information system subsystem
Mutually cognitive maturity, subsystem technology maturity are polymerize for ripe degree, subsystem, and the interoperability for respectively obtaining information system is ripe
Degree, mutually cognitive maturity, technology maturity are as follows：
Utilize weight sets (w1,w2,w3) the interoperability maturity of expression information system, mutually cognitive maturity, technology maturity
Relative importance, then have information system system maturity Grade
ISRL=w1·IORL+w2·MKRL+w3·STRL (11)
ISRL span is [0,1] in formula, takes a broad view of above-mentioned estimation flow, and system maturity have evaluated given development rank
The potential ripe level of the lower information system of section, is the maturity size for comparing different information systems based on the value.
Due to using technical scheme as described above, the present invention has following superiority：
A kind of system maturity appraisal procedure of information system, is to use to set up each maturity grade successively from bottom to up
Evaluation model；Firstly the need of setting up single technology maturity grade, integrated maturity grade to subsystem technology maturity grade
Polymerization model；Then consider the relative importance of n subsystems, subsystem interoperability maturity grade is set up respectively, is divided be
System mutually cognitive maturity grade and subsystem technology maturity grade to interoperability maturity grade, mutually cognition maturity grade and
The polymerization model of technology maturity grade；Finally set up interoperability maturity grade, mutually cognitive maturity grade and technology maturation
The polymerization model of grade is spent, so as to obtain information system system maturity assessment result；Instant invention overcomes existing monotechnics
Assessment defect, can to information system constitute subsystem between relative importance, maturity carry out comprehensive assessment.Wherein adopt
Estimation flow, system maturity have evaluated the potential ripe level of information system under given developing stage, but value is in itself
Obvious physical significance is not had, the maturity size that the value compares different information systems is based only on.
Brief description of the drawings
Fig. 1 is the system maturity assessment frame diagram of information system.
Embodiment
As shown in figure 1, a kind of system maturity appraisal procedure of information system, the information system system maturity of use is commented
Valency can be divided into following 8 key steps：1. the primary sub-system composition and key technology of information system are determined.2. information system is analyzed
The interoperability maturity of system, relative importance mutually between cognitive maturity and system technology maturity, based on analytic hierarchy process (AHP)
Solve weight vectors.3. the interactive relation between each subsystem of analysis information system, builds the networking judgment matrix of weight,
Solve the weight vectors of subsystem.4. each subsystem inherent technical architecture and integrated relationship are analyzed, based on 9 grades of current maturity
The integrated maturity and technology maturity classification standard of standard formulation subsystem.5. the classification standard according to definition, determines each point
Integrated maturity between the single technology maturity and technology of system.6. the technology maturity of each subsystem is calculated, it is determined that respectively
The interoperability maturity of subsystem and mutually cognitive maturity.7. the interoperability maturity of information system, mutual cognitive maturity are calculated
And technology maturity.8. the system maturity of information system is calculated.
The 1 information system system maturity assessment framework used, carries out maturity assessment
1.1 system maturity assessment frameworks
" system of systems " that information system is made up of multiple complication systems such as information, information processing, information distributions,
Its complexity is high, comprehensive strong, and the crosslinking between system and system is across the fields such as physics, information, cognition, society, each point
The demonstration of system, development are a series of nonsynchronous periodic models, and the demonstration of information system, development are a complicated system works
Journey.Therefore, over time, system Capability Maturity Model need to cover, comprehensive physical, information, cognition, the field such as society
Feature and requirement carry out the horizontal level of maturity of description information system.Considering the different levels structure of information system system maturity
Build, set up system maturity assessment framework as shown in Figure 1.
Information system is made up of n subsystems in figure, and m key technologies have been related to altogether, and key technology is based on multi-to-multi
Mapping relations subsystem is supported, the "×" in form represents supporting relation of the key technology to corresponding subsystem.From individual event
Technology maturity, to subsystem technology maturity, then to the system maturity of information system, is all a kind of relation successively supported.
The evaluation of 1.2 system maturity, the information system system maturity assessment framework according to Fig. 1, system is ripe
Degree is main to be characterized by interoperability maturity, the mutual cognitive maturity and system technology maturity of information system, is interoperated
Maturity, mutually cognitive maturity and system technology maturity depend on the subsystem interoperability maturity of n subsystems, recognized each other again
Know maturity and technology maturity, subsystem technology maturity is again depending on the single technology maturity and technology collection of respective support
Into maturity.
Maturity at all levels is described using current scalar quantization evaluation form, information system system is ripe
Degree is represented with system maturity grade (information system readiness level, ISRL), interoperability maturity
Represented with interoperability maturity grade (interoperability readiness level, IORL), mutual cognitive maturity is used
Mutually cognition maturity grade (mutual knowledge readiness level, MKRL) is represented, system technology maturity is used
System technology maturity grade (system technology readiness level, STRL) is represented；Subsystem is interoperated into
Ripe degree subsystem interoperability maturity grade (subsystem interoperable readiness level, SIORL) table
Show, mutual mutual cognitive maturity grade (the subsystem mutual knowledge of cognitive maturity subsystem of subsystem
Readiness level, SMKRL) represent, subsystem technology maturity subsystem technology maturity grade (subsystem
Technology readiness level, SSTRL) represent；Single technology maturity is then using current technology maturity etc.
Level (technology readiness level, TRL) represents that Integration ofTechnology maturity is with integrated maturity grade
(integration readiness level, IRL) is represented.The maturity of each level is corresponding with corresponding risk respectively, i.e.,
Maturity higher grade, and risk is lower；Maturity lower grade, and risk is higher.
Based on the mutiple-stage model framework shown in Fig. 1, it is necessary to which setting up each maturity grade successively from bottom to up evaluates mould
Type.Firstly the need of the polymerization for setting up single technology maturity grade, integrated maturity grade to subsystem technology maturity grade
Model；Then consider the relative importance of n subsystems, subsystem interoperability maturity grade, subsystem are set up respectively and is recognized each other
Know maturity grade and subsystem technology maturity grade to interoperability maturity grade, mutually cognitive maturity grade and technology into
The polymerization model of ripe degree grade；Finally set up interoperability maturity grade, mutually cognitive maturity grade and technology maturity grade
Polymerization model, so as to obtain information system system maturity assessment result.
There is interactive relation, information system two-by-two between the complication system that information system is made up of n subsystems, subsystem
System architecture directly increases the expression difficulty of above-mentioned various polymerization models.In view of the reasonability and feasibility of modeling, herein
Polymerization model is set up using the thought of linear weighted function, weight therein uses networking analytic hierarchy process (AHP), with reflect subsystem it
Between interactive relation.
2 subsystem maturity assessment models, information system subsystem maturity characterizes the state of subsystem development and evolution
And level, it is the basis of system maturity assessment.According to the key step of information system system maturity assessment, introduce divide first
The staple that system maturation degree evaluation is related to.
2.1 technology maturity grades and evaluation, single technology maturity and Integration ofTechnology maturity are information system systems
The basis of maturity analysis, single technology maturity and Integration ofTechnology maturity grade determine the height of system maturity.Mesh
It is preceding that single technology maturity is generally divided into 9 grades (from small to large, horizontal more and more highers of technology maturity), its implication such as table 1
It is shown.
The technology maturity grade of table 1 and implication
Integration ofTechnology maturity characterize between two technologies can integrated state, generally Integration ofTechnology maturity is divided
For 9 grades (from small to large, horizontal more and more highers of Integration ofTechnology maturity), its implication is as shown in table 2.
The Integration ofTechnology maturity grade of table 2 and implication
Assuming that in information system i-th, (i=1,2 ..., n) item subsystem is related to j key technologies altogether, and each single item is closed
Respective technology maturity grade known to key technology, then have technology maturity grade vector
J key technologies are carried out with integrated maturity analysis between any two, it is constructed between can be fully-integrated, then build
Found the Integration ofTechnology maturity ranking matrix of i-th subsystem
In formula It is taken as 9 grades.
The technology maturity grade vector of i-th subsystem can then be calculated
The number of techniques that each single item key technology is integrated in i-th subsystem is different, it is assumed that and kth (k=1,2 ..., j)
The integrated number of techniques of item technology is ik, then have the standardized technique maturity grade vector of i-th subsystem
Then the technology maturity of i-th subsystem is expressed as
2.2 interoperability maturity grades and evaluation, interoperability is the material base of information system core the most, U.S. national defense
The interoperability that portion was provided in 2001 is defined：Interoperability refer between system, unit or military power mutually offer and
Receiving service, to enable them to the ability of effective cooperating syringe；The definition that China GJB/Z144-2004 is done to interoperability
It is：Information is exchanged between two or more systems or application and the ability for exchanging information is utilized.
C4ISR working groups of U.S. Department of Defense analyze interaction complexity, interactive features and the mutual behaviour between information system
Make demand, it is proposed that " maturity " of interaction and shared information between 5 interoperability maturity grade description information systems；GJB/
Z144-2004 establishes 5 grades of interoperability maturity grade models of Command automation system；Cao Jiang etc. proposes Military Information System
The enhanced interoperability maturity reference model of 6 ranks, the military activity carrier that information system is more readily understood in the model is special
Levy and the system combat ability of essential information system is essential.Information is assessed using the enhanced interoperability Capability Maturity Model herein
The interoperability maturity of system, its model and implication key element are as shown in table 3.
The enhanced interoperability maturity grade of table 3 and implication
Structure attribute is the evaluation to information system architecture method maturity in table 3, and application attribute is mutual to software
The evaluation of operational capacity, facility attribute is the evaluation to network interoperability ability, and O＆M attribute is to information resources dispatching
Evaluation, security attribute is the evaluation to safe and secret maturity, and data attribute is the evaluation to data structure modeling maturity.
For i-th subsystem, it is assumed that above-mentioned interoperability attribute to interoperate maturity contribution weight be respectivelyThe maturity grade of each attribute is respectivelyThe then normalization of i-th subsystem
Interoperability maturity is expressed as
2.3 mutually cognitive maturity grades and evaluations, information system is physical domain, information field, cognitive territory, military in social domain
The carrier of activity, the cognition of multi-field knowledge is with sharing one of developing direction as information system.In military activity and information
System is set up on the basis of the system of being adapted, rule and mechanism, and the information that information system is obtained increasingly is enriched, and utilizes network skill
Art, artificial intelligence etc. process these information, promote military activity person to their the shared cognitive key as problem.Cognition is
Refer to one kind psychology judgement understand, understand, understanding, decision process, be a kind of expression of structuring to things or phenomenon；It is mutually cognitive
Be exactly that military activity person shares information and shared knowledge, information system horn of plenty experience and wisdom it is shared, to things or phenomenon
Uniformity cognition create condition.The mutual cognition of information system is primarily upon the processing of its information, knowledge, enables information processing
Power covers cognitive territory, social domain etc..Herein using the mutual cognitive ability of mutually cognitive maturity grade evaluation information system, use for reference
The mutual understanding of document follows Capability Maturity Model with mutual, sets up mutually cognitive maturity Grade Model and implication key element as shown in table 4.
Table 4 mutual cognitive maturity grade and implication
System/rules properties are the evaluation that scope and degree are implemented to specifications such as the knowledge tokens of information system, state in table 4
Gesture attribute is the evaluation that situation of battlefield degree is characterized to the reference of information system knowledge based structure, uniformity, relevance etc.,
Decision attribute is to accurate characterization DECISION KNOWLEDGE degree such as reference, uniformity of the information system based on decision element, relevances
Evaluation, accuse attribute be to information system based on accuse benchmark knowledge accurate characterization command control process evaluation, supervise/comment
It is the various abilities of evaluation information system and the maturity of carrying out measures to estimate attribute.
For i-th subsystem, it is assumed that above-mentioned mutual cognitive attribute is respectively to the contribution weight of mutual cognitive maturityThe maturity grade of each attribute is respectivelyThe then normalization of i-th subsystem
Mutually cognition maturity is expressed as
2.4 subsystem weights, subsystem is interoperated maturity, subsystem mutually cognitive maturity, subsystem technology into
When ripe degree is polymerize, significance level of the subsystem to system is represented using weight.N item subsystems in information system are due to letter
Breath interaction and shared relationship, they be connect each other, it is interactional, can be handled well, instead using analytic network process
The mutual importance degree reflected between each subsystem.1~9 scale based on analytic network process is measured to subsystem
Change, by the matrix of multilevel iudge two-by-two of calculating network, build and have no right hypermatrix and weighting hypermatrix, calculating limit hypermatrix,
Finally carry out integrated ordered obtaining weighted value.Assuming that the weight vectors for trying to achieve n subsystems are W=(w1,w2,…,wn)。
3 system maturity assessment models, the thinking based on weighted sum, the maturity that interoperated to information system subsystem,
Mutually cognitive maturity, subsystem technology maturity are polymerize subsystem, respectively obtain the interoperability maturity, mutual of information system
Cognitive maturity, technology maturity are as follows：
Utilize weight sets (w1,w2,w3) the interoperability maturity of expression information system, mutually cognitive maturity, technology maturity
Relative importance, then have information system system maturity Grade
ISRL=w1·IORL+w2·MKRL+w3·STRL (11)
ISRL span is [0,1] in formula.Above-mentioned estimation flow is taken a broad view of, system maturity have evaluated given development rank
The potential ripe level of the lower information system of section, but value does not have obvious physical significance in itself, only can be based on the value
Compare the maturity size of different information systems.
Claims (1)
1. a kind of system maturity appraisal procedure of information system, it is characterized in that：Be by the interoperability maturity of information system,
Mutually cognition maturity and system technology maturity are characterized, interoperability maturity, mutually cognitive maturity and system technology matures
Degree again depending on the subsystem interoperability maturity of n subsystems, mutually cognition maturity and technology maturity, subsystem technology into
Ripe degree is again depending on the single technology maturity and Integration ofTechnology maturity of respective support；
Maturity at all levels is described using scalar quantization evaluation form, information system system maturity system into
Ripe degree grade is represented, the maturity that interoperates is represented with interoperability maturity grade, mutual cognitive maturity mutually cognitive maturity etc.
Level is represented, system technology maturity is represented with system technology maturity grade；Subsystem interoperability maturity is mutually grasped with subsystem
Make maturity grade represent, subsystem mutually cognitive maturity with subsystem mutually cognitive maturity grade represent, subsystem technology into
Ripe degree is represented with subsystem technology maturity grade；Single technology maturity then uses technology maturity grade to represent, technology collection
Represented into maturity with integrated maturity grade；The maturity of each level is corresponding with corresponding risk respectively, i.e. maturity etc.
Level is higher, and risk is lower；Maturity lower grade, and risk is higher；Commented using each maturity grade is set up successively from bottom to up
Valency model；Firstly the need of setting up single technology maturity grade, integrated maturity grade to subsystem technology maturity grade
Polymerization model；Then consider the relative importance of n subsystems, subsystem interoperability maturity grade, subsystem are set up respectively
Mutually cognition maturity grade and subsystem technology maturity grade are to interoperability maturity grade, mutually cognition maturity grade and skill
The polymerization model of art maturity grade；Finally set up interoperability maturity grade, mutually cognitive maturity grade and technology maturity
The polymerization model of grade, so as to obtain information system system maturity assessment result；
There is interactive relation two-by-two between the complication system that information system is made up of n subsystems, subsystem, added using linear
The thought of power sets up polymerization model, and weight therein uses networking analytic hierarchy process (AHP), to reflect interactive relation between subsystem；
Specific information system system maturity assessment step is as follows：
1. the subsystem composition and key technology of information system are determined；2. the interoperability maturity of analysis information system, mutually cognition
Relative importance between maturity and system technology maturity, weight vectors are solved based on analytic hierarchy process (AHP)；3. information is analyzed
Interactive relation between each subsystem of system, builds the networking judgment matrix of weight, solves the weight vectors of subsystem；④
Each subsystem inherent technical architecture and integrated relationship are analyzed, integrated maturity and technology based on maturity standard formulation subsystem
Maturity classification standard；5. the classification standard according to definition, is determined between the single technology maturity of each subsystem and technology
Integrated maturity；6. the technology maturity of each subsystem is calculated, the interoperability maturity and mutual cognitive maturation of each subsystem is determined
Degree；7. the interoperability maturity, mutual cognitive maturity and technology maturity of information system are calculated；8. the system of information system is calculated
Maturity；
Subsystem maturity assessment model therein, information system subsystem maturity characterizes the state of subsystem development and evolution
And level, be the basis of system maturity assessment, according to the step of information system system maturity assessment, first to subsystem into
The evaluation of ripe degree；
1), technology maturities grade and evaluation, single technology maturity and Integration ofTechnology maturity are that information system system is ripe
The basis of analysis is spent, single technology maturity and Integration ofTechnology maturity grade determine the height of system maturity；Generally will
Single technology maturity is divided into multistage：From small to large, the horizontal more and more higher of technology maturity；
A. find to illustrate technical scheme and/or application, the key function of c. verification technique schemes and spy with report general principle, b.
Property, d. verified in laboratory environment basic components/principle prototype effectively, e. in actual use simulated environment verification component/
Effectively, f. verifies system/subsystem model or principle prototype effectively to principle prototype in actual use simulated environment, and g. is being used
System prototype is verified in environment effectively, the application that h. real systems pass through many subtasks by test and validation, i. real systems
Checking；
Integration ofTechnology maturity characterize between two technologies can integrated state, generally Integration ofTechnology maturity is divided into many
Level：From small to large, the horizontal more and more higher of Integration ofTechnology maturity；
A. by the interface between abundant, detailed description identification technology, there is certain phase by interface in b. between two kinds of technologies
Can be carried out between interaction, c. technologies in order, be fully integrated with interacting, with compatibility, d. quality integrated technology and
Guarantee detailed description is very abundant, and e. is establishment integrated technology, management and terminates and can effectively control, and f. is expected to answer to reach
With integrated technology can be received, changed and configuration information, and g. Integration ofTechnologies pass through detailed check and checking, it is believed that being can
Capable, h. is under system environments, and actual integrated complete is tested with demonstrating, and reaches mission requirements, and i. is integrated by successful
Task-cycle is verified；
Assuming that in information system i-th, (i=1,2 ..., n) item subsystem is related to j key technologies altogether, and the crucial skill of each single item
Respective technology maturity grade known to art, then have technology maturity grade vector
<mrow>
<msubsup>
<mi>D</mi>
<mrow>
<mi>T</mi>
<mi>R</mi>
<mi>L</mi>
</mrow>
<mi>i</mi>
</msubsup>
<mo>=</mo>
<msup>
<mrow>
<mo>(</mo>
<msubsup>
<mi>TRL</mi>
<mn>1</mn>
<mi>i</mi>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>TRL</mi>
<mn>2</mn>
<mi>i</mi>
</msubsup>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msubsup>
<mi>TRL</mi>
<mi>j</mi>
<mi>i</mi>
</msubsup>
<mo>)</mo>
</mrow>
<mi>T</mi>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
J key technologies are carried out with integrated maturity analysis between any two, it is constructed between can be fully-integrated, then set up the
The Integration ofTechnology maturity ranking matrix of i subsystems
<mrow>
<msubsup>
<mi>M</mi>
<mrow>
<mi>I</mi>
<mi>R</mi>
<mi>L</mi>
</mrow>
<mi>i</mi>
</msubsup>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mn>11</mn>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mn>12</mn>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mn>...</mn>
</mtd>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mrow>
<mn>1</mn>
<mi>j</mi>
</mrow>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mn>21</mn>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mn>22</mn>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mn>...</mn>
</mtd>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mrow>
<mn>2</mn>
<mi>j</mi>
</mrow>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mrow>
<mi>j</mi>
<mn>1</mn>
</mrow>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mrow>
<mi>j</mi>
<mn>2</mn>
</mrow>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mn>...</mn>
</mtd>
<mtd>
<mrow>
<msubsup>
<mi>IRL</mi>
<mrow>
<mi>j</mi>
<mi>j</mi>
</mrow>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula It is taken as 9 grades.
Then calculate the technology maturity grade vector of i-th subsystem
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>D</mi>
<mrow>
<mi>S</mi>
<mi>S</mi>
<mi>T</mi>
<mi>R</mi>
<mi>L</mi>
</mrow>
<mi>i</mi>
</msubsup>
<mo>=</mo>
<msubsup>
<mi>M</mi>
<mrow>
<mi>I</mi>
<mi>R</mi>
<mi>L</mi>
</mrow>
<mi>i</mi>
</msubsup>
<mo>&times;</mo>
<msubsup>
<mi>D</mi>
<mrow>
<mi>T</mi>
<mi>R</mi>
<mi>L</mi>
</mrow>
<mi>i</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>=</mo>
<msup>
<mrow>
<mo>(</mo>
<msubsup>
<mi>SSTRL</mi>
<mn>1</mn>
<mi>i</mi>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>SSTRL</mi>
<mn>2</mn>
<mi>i</mi>
</msubsup>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msubsup>
<mi>SSTRL</mi>
<mi>j</mi>
<mi>i</mi>
</msubsup>
<mo>)</mo>
</mrow>
<mi>T</mi>
</msup>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
The number of techniques that each single item key technology is integrated in i-th subsystem is different, it is assumed that kth (k=1,2 ..., j) item skill
The integrated number of techniques of art is ik, then have the standardized technique maturity grade vector of i-th subsystem
<mrow>
<msubsup>
<mi>S</mi>
<mrow>
<mi>S</mi>
<mi>S</mi>
<mi>T</mi>
<mi>R</mi>
<mi>L</mi>
</mrow>
<mi>i</mi>
</msubsup>
<mo>=</mo>
<msup>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msubsup>
<mi>SSTRL</mi>
<mn>1</mn>
<mi>i</mi>
</msubsup>
</mrow>
<msub>
<mi>i</mi>
<mn>1</mn>
</msub>
</mfrac>
<mo>,</mo>
<mfrac>
<mrow>
<msubsup>
<mi>SSTRL</mi>
<mn>2</mn>
<mi>i</mi>
</msubsup>
</mrow>
<msub>
<mi>i</mi>
<mn>2</mn>
</msub>
</mfrac>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mfrac>
<mrow>
<msubsup>
<mi>SSTRL</mi>
<mi>j</mi>
<mi>i</mi>
</msubsup>
</mrow>
<msub>
<mi>i</mi>
<mi>j</mi>
</msub>
</mfrac>
<mo>)</mo>
</mrow>
<mi>T</mi>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
Then the technology maturity of i-th subsystem is expressed as
<mrow>
<msub>
<mi>SSTRL</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mn>81</mn>
<mi>j</mi>
</mrow>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>h</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>j</mi>
</munderover>
<mfrac>
<mrow>
<msubsup>
<mi>SSTRL</mi>
<mi>h</mi>
<mi>i</mi>
</msubsup>
</mrow>
<msub>
<mi>i</mi>
<mi>h</mi>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
2), interoperability maturity grade and evaluation, in order to which the military activity vector properties and base of information system are more readily understood
This information system system combat ability essence, using it is enhanced interoperability Capability Maturity Model evaluation information system interoperability into
Ripe degree；6 ranks of its Military Information System：
Title：Isolation level, entry level, functional level, integrated level, cooperate level, adapts to level；
Structure：Without structure design, structural approach, architecture of project, Engineering System structure, federated architecture, fusion system
Structure；
Using：Handwork, anti-orphan procedure, routine data separation, componentization, serviceization, Agility；
Facility：It is independent, point-to-point connection, local interconnection, wide area connection, grid connection, definition connection；
Safety：Physical isolation, end points protection, local protection, wide area protection, cross-domain protection, immune protection；
O＆M：Manual O＆M, end equipment O＆M, local O＆M, wide area O＆M, link O＆M, defines O＆M；
Data：Privately owned model, procedural model, functional mode, domain model is cross-domain to share, flexible construction；
Structure attribute therein is the evaluation to information system architecture method maturity, and application attribute is to Software interoperability
The evaluation of ability, facility attribute is the evaluation to network interoperability ability, and O＆M attribute is that information resources dispatching is commented
Valency, security attribute is the evaluation to safe and secret maturity, and data attribute is the evaluation to data structure modeling maturity；
For i-th subsystem, it is assumed that above-mentioned interoperability attribute to interoperate maturity contribution weight be respectivelyThe maturity grade of each attribute is respectivelyThe then normalization of i-th subsystem
Interoperability maturity is expressed as
<mrow>
<msub>
<mi>SIORL</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>5</mn>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mn>6</mn>
</munderover>
<msubsup>
<mi>w</mi>
<mrow>
<mi>S</mi>
<mi>I</mi>
<mi>O</mi>
<mi>R</mi>
<mi>L</mi>
</mrow>
<mi>j</mi>
</msubsup>
<msubsup>
<mi>SIORL</mi>
<mi>i</mi>
<mi>j</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>6</mn>
<mo>)</mo>
</mrow>
</mrow>
3), mutually cognitive maturity grade and evaluation, using the mutual cognitive ability of mutual cognitive maturity grade evaluation information system, is borrowed
Mirror mutually understands and mutually follows Capability Maturity Model, sets up mutually cognitive maturity Grade Model；
Title：Isolation level, entry level, functional level, integrated level, cooperate level, adapts to level；
System/rule：The traditional regulations of acquiescence, local system/rule, department's system/rule, field system/rule, cross-domain system
Degree/rule, adapts to system/rule；
Situation：Handwork, situation benchmark, knowledge classification framework, field framework associates framework, panorama framework；
Decision-making：Character express, text/chart is stated, basic decision key element, field decision element, and cooperate decision element, and adaptability will
Element；
Accuse：Experience accuses that end is accused, basis is accused, field is accused, joint is accused, agility is accused；
Supervision/assessment：Without supervision/assessment, campaign-styled assessment, periodic is assessed, and system formula is assessed, and joint assessment, adaptability is commented
Estimate；
System/rules properties therein are the evaluation that scope and degree are implemented to specifications such as the knowledge tokens of information system, situation
Attribute is the evaluation that situation of battlefield degree is characterized to the reference of information system knowledge based structure, uniformity, relevance etc., certainly
Plan attribute is to accurate characterization DECISION KNOWLEDGE degree such as reference, uniformity of the information system based on decision element, relevances
Evaluate, it is based on the evaluation for accusing benchmark knowledge accurate characterization commander's control process, supervision/assessment to information system to accuse attribute
Attribute is the various abilities of evaluation information system and the maturity of carrying out measures；
For i-th subsystem, it is assumed that above-mentioned mutual cognitive attribute is respectively to the contribution weight of mutual cognitive maturityThe maturity grade of each attribute is respectivelyThe then normalization of i-th subsystem
Mutually cognition maturity is expressed as
<mrow>
<msub>
<mi>SMKRL</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>5</mn>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mn>5</mn>
</munderover>
<msubsup>
<mi>w</mi>
<mrow>
<mi>S</mi>
<mi>M</mi>
<mi>K</mi>
<mi>R</mi>
<mi>L</mi>
</mrow>
<mi>j</mi>
</msubsup>
<msubsup>
<mi>SMKRL</mi>
<mi>i</mi>
<mi>j</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>7</mn>
<mo>)</mo>
</mrow>
</mrow>
4), subsystem weight, in maturity, subsystem mutually cognitive maturity, the subsystem technology maturity of being interoperated to subsystem
When being polymerize, significance level of the subsystem to system is represented using weight；N item subsystems in information system are due to information friendship
Mutually and shared relationship, they be connect each other, it is interactional, can be handled well using analytic network process, reflect respectively
Mutual importance degree between individual subsystem；1~9 scale based on analytic network process quantifies to subsystem, leads to
The matrix of multilevel iudge two-by-two of calculating network is crossed, builds and haves no right hypermatrix and weighting hypermatrix, calculating limit hypermatrix, it is most laggard
Row is integrated ordered to obtain weighted value；Assuming that the weight vectors for trying to achieve n subsystems are W=(w1,w2,…,wn)；
System maturity assessment model therein, the method based on weighted sum, the maturity that interoperated to information system subsystem,
Mutually cognitive maturity, subsystem technology maturity are polymerize subsystem, respectively obtain the interoperability maturity, mutual of information system
Cognitive maturity, technology maturity are as follows：
<mrow>
<mi>I</mi>
<mi>O</mi>
<mi>R</mi>
<mi>L</mi>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<msub>
<mi>w</mi>
<mi>i</mi>
</msub>
<mo>&CenterDot;</mo>
<msub>
<mi>SIORL</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>8</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>M</mi>
<mi>K</mi>
<mi>R</mi>
<mi>L</mi>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<msub>
<mi>w</mi>
<mi>i</mi>
</msub>
<mo>&CenterDot;</mo>
<msub>
<mi>SMKRL</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>9</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>S</mi>
<mi>T</mi>
<mi>R</mi>
<mi>L</mi>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<msub>
<mi>w</mi>
<mi>i</mi>
</msub>
<mo>&CenterDot;</mo>
<msub>
<mi>SSTRL</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>10</mn>
<mo>)</mo>
</mrow>
</mrow>
Utilize weight sets (w1,w2,w3) the interoperability maturity of expression information system, mutually cognitive maturity, the phase of technology maturity
To importance, then there is information system system maturity Grade
ISRL=w1·IORL+w2·MKRL+w3·STRL (11)
ISRL span is [0,1] in formula, takes a broad view of above-mentioned estimation flow, system maturity have evaluated under given developing stage
The potential ripe level of information system, is the maturity size for comparing different information systems based on the value.
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| CN107832973A (en) * | 2017-11-29 | 2018-03-23 | 国网山东省电力公司电力科学研究院 | A kind of method of the equipment quality management and control based on polymorphism information Comprehensive Evaluation |
| CN108764735A (en) * | 2018-05-31 | 2018-11-06 | 中国人民解放军战略支援部队航天工程大学 | A kind of information system system maturity qualitative evaluating method based on confidence level |
| CN109063411A (en) * | 2018-06-29 | 2018-12-21 | 中国电子科技集团公司第二十八研究所 | It is a kind of based on system interoperability maturity assessment application, facility, data attribute metric tree calculation method |
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| CN112835784A (en) * | 2021-01-07 | 2021-05-25 | 中国人民解放军军事科学院战争研究院 | Method for evaluating and optimizing interoperation capacity of complex giant system |
| CN112835784B (en) * | 2021-01-07 | 2022-01-11 | 中国人民解放军军事科学院战争研究院 | Method for evaluating and optimizing interoperation capacity of complex giant system |
| CN115691228A (en) * | 2022-10-12 | 2023-02-03 | 中国电子科技集团公司第二十八研究所 | Multi-domain unmanned system interoperation level evaluation method |
| CN116739393A (en) * | 2023-08-14 | 2023-09-12 | 福建福诺移动通信技术有限公司 | Evaluation method and device for emergency capability maturity of application system |
| CN116739393B (en) * | 2023-08-14 | 2023-11-14 | 福建福诺移动通信技术有限公司 | Evaluation method and device for emergency capability maturity of application system |
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