CN114442999A - Artificial intelligence application service software development terminal - Google Patents
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Abstract
The invention provides an artificial intelligence application service software development terminal, which comprises: the requirement acquisition module is used for acquiring the development requirement of the software to be developed; the model distribution module is used for performing pre-analysis on development requirements, distributing matched models to be built and building a list to be built; the environment building module is used for building an initial development environment according to the development attribute of the development demand and acquiring a general building model; and the fusion assembly module is used for fusing and assembling the general building model and the list to be built so as to complete the development of the application service software. According to the development requirements, the model to be built is automatically distributed, the general building model is automatically acquired, development is realized through fusion assembly, development time is greatly saved, and development efficiency is improved.
Description
Technical Field
The invention relates to the technical field of software development, in particular to an artificial intelligence application service software development terminal.
Background
The digital era affects all industries around the world, a software system is a necessary tool for the development of enterprises, the system itself for designing and developing the software system is a very complicated and long thing, various problems can be encountered, and even the business development of a company can be affected.
Therefore, the invention provides an artificial intelligence application service software development terminal.
Disclosure of Invention
The invention provides an artificial intelligence application service software development terminal which is used for automatically distributing a model to be built and automatically acquiring a general building model according to development requirements, and realizing development through fusion assembly, thereby greatly saving development time and improving development efficiency.
The invention provides an artificial intelligence application service software development terminal, comprising:
the requirement acquisition module is used for acquiring the development requirement of the software to be developed;
the model distribution module is used for performing pre-analysis on the development requirement, distributing the matched model to be built and building a list to be built;
the environment building module is used for building an initial development environment according to the development attribute of the development requirement and acquiring a general building model;
and the fusion assembly module is used for fusing and assembling the general building model and the list to be built so as to complete the development of the application service software.
In one possible implementation manner, the requirement obtaining module includes:
the statistical unit is used for receiving and counting the input demand information;
the preliminary screening unit is used for preliminarily screening the demand information based on a demand screening model, and obtaining n1 combinable sub-demands and n2 non-combinable sub-demands according to a preliminary screening result;
the demand analysis unit is used for carrying out characteristic analysis on the n1 combinable sub-demands and the n2 non-combinable sub-demands based on a demand characteristic analysis standard and judging whether a linking relation between the n1 combinable sub-demands and the n2 non-combinable sub-demands is established or not;
if so, taking the sub-requirements after the connection relationship is established as development requirements;
otherwise, the n1 combinable sub-requirements are taken as development requirements.
In a possible implementation manner, the requirement analysis unit further includes:
the label setting subunit is configured to perform feature analysis on the n2 unconjugated sub-requirements based on a requirement feature analysis standard to obtain requirement features, and set a corresponding feature label to each requirement feature based on a feature setting policy, where the feature label includes a label attribute value;
a response judgment subunit, configured to construct a tag vector based on the tag attribute value, perform a target response on the tag vector and feature vectors associated with n1 combinable sub-requirements based on a target response model, obtain a response result, and if the response result satisfies a combinable condition, establish an engagement relationship between the n1 combinable sub-requirements and n2 non-combinable sub-requirements based on the combinable condition;
the demand acquisition subunit is used for acquiring development demands based on the sub-demands after the linkage relation is established;
and the application adaptor establishing subunit is used for taking the n1 combinable sub-requirements as development requirements and taking the n2 non-combinable sub-requirements as individual requirements for individual development if the response result does not meet combinable conditions, and establishing application adaptors with the development results corresponding to the n1 combinable sub-requirements after the individual development is finished.
In one possible implementation, the model assignment module includes:
the pre-analysis unit is used for splitting the development requirements, determining the software development conditions of each first sub-requirement and carrying out deployment layer division on the software development conditions;
the sequence determining unit is used for performing first determination on the first execution sequence of all the deployment layers according to the layer attributes of different layer division standards and performing second determination on the execution sequence of the first condition related to the same deployment layer;
a parallel condition analysis unit, configured to determine whether a next layer and an upper layer adjacent to the deployed layer exist if a parallel execution condition exists in the second determination result, and if so, determine a layer attribute of the next layer and a layer attribute of the upper layer, and when the layer attribute of the next layer and the layer attribute of the upper layer are not related to the parallel execution condition, randomly set a sequence of the parallel execution condition to obtain a second execution sequence corresponding to the deployed layer;
when the layer attribute of the next layer or the layer attribute of the previous layer is related to the parallel execution condition, sequentially setting the parallel execution condition according to the related degree to obtain a second execution sequence of the corresponding deployment layer;
the model distribution unit is used for sequentially screening corresponding model classes from the model distribution database according to the first execution sequence and sequentially screening corresponding models to be built from the corresponding model classes based on the second execution sequence of each layer;
and the list building unit is used for building a list to be built based on the screening result and the divided deployment layers.
In a possible implementation manner, the list construction unit includes:
the first setting subunit is used for setting a first label for the model to be built and is related to the software development condition corresponding to the model to be built;
a second setting subunit, configured to set a second tag to the deployment layer, where the second tag is related to a layer attribute of the deployment layer;
and the establishing subunit is used for establishing a list to be established based on the first label and the second label.
In one possible implementation, the environment building module includes:
the matching process unit is used for determining the development attribute of the development requirement and matching the process to be built according to the development attribute;
the pre-judging unit is used for pre-analyzing the execution process of each sub-flow in the flow to be built, pre-judging the execution process, determining whether n3 key execution sections in the execution process meet the execution requirements, and if so, setting a normal execution label for the corresponding sub-flow;
if not, acquiring the key execution section which is not satisfied, and the requirement difference between the key execution section which is not satisfied and the corresponding execution requirement;
the interruption event establishing unit is used for determining a difference correction factor corresponding to the key execution section which is not satisfied according to the requirement difference and establishing an interruption event based on the difference correction factor;
a flow modifying unit, configured to invoke an external modifying program based on the interrupt event, modify the corresponding unsatisfied key execution segment, and after the modification is complete, return to the relevant program based on the interrupt event, continue to establish a corresponding interrupt event for the next unsatisfied key execution segment, so as to obtain an interrupt set corresponding to the sub-flow;
the interruption label setting unit is used for setting an interruption execution label to the corresponding sub-process based on the interruption set, and correcting based on the interruption set when the corresponding sub-process is executed to the key execution section which is not satisfied correspondingly;
and the initial environment building unit is used for acquiring the development frame corresponding to each corrected sub-flow and building an initial development environment.
In one possible implementation manner, the environment building module further includes:
the link determining unit is used for determining development chain interfaces of different development frames according to the frame attribute of each development frame;
the file establishing unit is used for establishing a link service mapping relation between the current frame and the rest frames according to the development link interfaces and establishing a link file of each development link interface based on the link service mapping relation;
and the model obtaining unit is used for obtaining a plurality of sub models based on the link file and the initial development environment, and determining the model universality of each sub model to obtain a universal building model.
In one possible implementation, the link file includes: searching pointer mapping files, hardware communication addresses, software identification information, interface link relations and development language scripts.
In one possible implementation, the fusion assembly module includes:
the first position determining unit is used for determining the to-be-built position of each to-be-built model in the to-be-built list and determining the general building position of each general building model;
the second position determining unit is used for determining the existing overlapping position, the first independent position and the second independent position based on the position to be built and the general building position;
the assembly information acquisition unit is used for acquiring construction information of an overlapping position, judging construction adaptation degree of the model to be constructed and the universal construction model at the overlapping position, acquiring a first assembly of the construction information when the construction adaptation degree is not less than a preset adaptation degree, correcting information according to the first information and the second information corresponding to the overlapping position when the construction adaptation degree is less than the preset adaptation degree, and acquiring a corresponding second assembly after correcting the information;
the first assembling unit is used for determining a starting address and an ending address of the overlapping position and realizing the assembling of the overlapping position based on an acquisition result;
the second assembling unit is used for acquiring third information of the first independent position and fourth information of the second independent position and realizing the assembling of the second independent position and the third independent position;
the qualification judging unit is used for detecting the assembly fusion degree of the current position and the adjacent position after assembly is finished, and judging that the assembly of the current position is qualified if the assembly fusion degree is not less than the preset fusion degree;
otherwise, acquiring left side assembly information and right side assembly information of the current position, and performing function consistency adjustment according to a first assembly execution function corresponding to the left side assembly information and a second assembly execution function corresponding to the right side assembly information;
the assembly information adjusting unit is used for acquiring a third assembly of the function consistency adjusting information and adjusting the left assembly information and the right assembly information of the adjacent positions;
and the software development unit is used for realizing the development of the application service software based on the adjusted result and the qualified assembly result.
In one possible implementation manner, the method further comprises the following steps:
the verification module is used for verifying the functional components, the display components and the coordination degree of functions and display of the application service software after the development of the application service software is finished;
when the verification passes, performing first verification reminding;
and otherwise, performing second verification reminding, and providing a software optimization scheme based on a verification result.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of an artificial intelligence application service software development terminal according to an embodiment of the present invention;
FIG. 2 is a block diagram of a fusion assembly module according to an embodiment of the present invention;
fig. 3 is a block diagram of a compilation of current and adjacent locations in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the invention provides an artificial intelligence application service software development terminal, as shown in fig. 1, comprising:
the requirement acquisition module is used for acquiring the development requirement of the software to be developed;
the model distribution module is used for performing pre-analysis on the development requirement, distributing the matched model to be built and building a list to be built;
the environment building module is used for building an initial development environment according to the development attribute of the development requirement and acquiring a general building model;
and the fusion assembly module is used for fusing and assembling the general building model and the list to be built so as to complete the development of the application service software.
In this embodiment, the model to be built included in the list to be built may be related to a program architecture, a data link, a software identification information code, an operation function corresponding to each requirement, a communication address, a mapping file, model communication, and the like, and each related content may have a model corresponding thereto, and the general building model is similar to the above explanation.
In this embodiment, the development requirement refers to a development requirement of a user, such as a display requirement for a web page, an interaction requirement between different persons, an assembly language requirement, a script requirement, and the like.
In this embodiment, the development attributes, such as an attribute of a favorite shopping class and an attribute of a video viewing class, may be regarded as corresponding development attributes, and the established initial development environment may be applied according to an existing overall basic environment of software of a corresponding type to obtain a corresponding general establishment model, and the development environment may be adjusted in a later stage.
In the embodiment, the fusion assembly refers to that the general building model and the model to be built are integrated into a whole development software according to certain assembly conditions.
The beneficial effects of the above technical scheme are: according to the development requirements, the model to be built is automatically distributed, the general building model is automatically acquired, development is realized through fusion assembly, development time is greatly saved, and development efficiency is improved.
Example 2:
based on embodiment 1, the demand obtaining module includes:
the statistical unit is used for receiving and counting the input demand information;
the preliminary screening unit is used for preliminarily screening the demand information based on a demand screening model, and obtaining n1 combinable sub-demands and n2 non-combinable sub-demands according to a preliminary screening result;
the demand analysis unit is used for carrying out characteristic analysis on the n1 combinable sub-demands and the n2 non-combinable sub-demands based on a demand characteristic analysis standard and judging whether a linking relation between the n1 combinable sub-demands and the n2 non-combinable sub-demands is established or not;
if so, taking the sub-requirements after the connection relationship is established as development requirements;
otherwise, the n1 combinable sub-requirements are taken as development requirements.
In this embodiment, the requirement screening model is pre-trained, and the training sample is a sample composed of different sub-requirements combined together, and includes: and screening to obtain combinable sub-requirements 1, 2 and 3 and non-combinable sub-requirements 4 and 5 according to the requirement information.
In this embodiment, the requirement characteristic analysis standard refers to analyzing the sub-requirement information to determine the characteristics thereof, so as to obtain the characteristics of different requirements.
The beneficial effects of the above technical scheme are: preliminary screening is carried out based on the demand screening model, combinable and non-combinable demands can be obtained conveniently, and the connection relation between the two types of sub-demands can be determined conveniently through characteristic analysis and used as a subsequent development basis, so that the development effectiveness is indirectly improved.
Example 3:
based on embodiment 1, the demand analysis unit further includes:
the label setting subunit is configured to perform feature analysis on the n2 unconjugated sub-requirements based on a requirement feature analysis standard to obtain requirement features, and set a corresponding feature label to each requirement feature based on a feature setting policy, where the feature label includes a label attribute value;
a response judgment subunit, configured to construct a tag vector based on the tag attribute value, perform a target response on the tag vector and feature vectors associated with n1 combinable sub-requirements based on a target response model, obtain a response result, and if the response result satisfies a combinable condition, establish an engagement relationship between the n1 combinable sub-requirements and n2 non-combinable sub-requirements based on the combinable condition;
the demand acquisition subunit is used for acquiring development demands based on the sub-demands after the linkage relation is established;
and the application adaptor establishing subunit is used for taking the n1 combinable sub-requirements as development requirements and taking the n2 non-combinable sub-requirements as individual requirements for individual development if the response result does not meet combinable conditions, and establishing application adaptors with the development results corresponding to the n1 combinable sub-requirements after the individual development is finished.
In this embodiment, the requirement characteristic analysis criteria and the characteristic setting policy are obtained in advance according to a big data technology, the corresponding requirement characteristic is obtained through the requirement characteristic analysis criteria, for example, the requirement characteristic 4 is obtained, and the characteristic label of the requirement characteristic 4 is set through the characteristic setting policy.
In this embodiment, for example, the tag attribute value is 0002, and the corresponding tag vector corresponds to 0002, for example, [ 00011 ], at this time, the [ 00011 ] and combinable sub-requirements are analyzed (target response) based on the target response model (trained in advance), and response results are obtained, for example: 4 may respond with sub-requirement 1 and may not respond with sub-requirements 2 and 3.
At this time, the determined number of respondents is 1, the number of non-respondents is 2, and the combinable conditions are: the number of responses must occupy 1/4 and more of the total number of sub-requirements, and at this time, a linking relationship between n1 combinable sub-requirements and n2 non-combinable sub-requirements is established, such as the relationship between sub-requirement 4 and sub-requirement 1.
In this embodiment, the application linking is to establish a relationship between the independently developed software and the software after developing the software based on the n1 combinable sub-requirements, which indicates that the software is under the same requirement information.
The beneficial effects of the above technical scheme are: the characteristic label is determined based on the requirement characteristic analysis standard and the characteristic setting strategy, then the linkage relation is established according to the subsequent target response model, and when the linkage relation cannot be established, the application relation is established, so that the completeness of the requirement information corresponding to the development software can be effectively ensured, the reliability of software development under the development requirement can also be ensured, and the development efficiency is indirectly improved.
Example 4:
based on embodiment 1, the model assignment module includes:
the pre-analysis unit is used for splitting the development requirements, determining the software development conditions of each first sub-requirement and carrying out deployment layer division on the software development conditions;
the sequence determining unit is used for performing first determination on the first execution sequence of all the deployment layers according to the layer attributes of different layer division standards and performing second determination on the execution sequence of the first condition related to the same deployment layer;
a parallel condition analysis unit, configured to determine whether a next layer and a previous layer adjacent to the deployment layer exist if a parallel execution condition exists in the second determination result, and if so, determine a layer attribute of the next layer and a layer attribute of the previous layer, and when the layer attribute of the next layer and the layer attribute of the previous layer are not related to the parallel execution condition, randomly set a sequence of the parallel execution condition to obtain a second execution sequence of the corresponding deployment layer;
when the layer attribute of the next layer or the layer attribute of the previous layer is related to the parallel execution condition, successively setting the parallel execution condition according to the related degree to obtain a second execution sequence of the corresponding deployment layer;
the model distribution unit is used for sequentially screening corresponding model classes from the model distribution database according to the first execution sequence and sequentially screening corresponding models to be built from the corresponding model classes based on the second execution sequence of each layer;
and the list building unit is used for building a list to be built based on the screening result and the divided deployment layers.
In this embodiment, for example, there are software development conditions 1, 2, and 3, where the conditions 1 and 2 are located in one deployment layer, and the condition 3 is located in one deployment layer, and further according to the layer attribute of the corresponding deployment layer, the execution order of different conditions is mainly determined, for example, the execution order of the deployment layer 1 and the deployment layer 2 is: deployment layer 1 and deployment layer 2, wherein the execution sequence of the conditions in the same deployment layer is as follows: condition 2 and condition 1.
Assuming that a condition 2, a condition 1, a condition 5 and a condition 3 exist in the same deployment layer 1, wherein the condition 1 and the condition 5 are parallel execution conditions, at this time, it is determined whether the parallel execution conditions 1 and 5 are related according to a deployment layer 0 adjacent to the deployment layer 1, and if the condition 1 is related, the order of executing the conditions in the same deployment layer 1 is: condition 2, condition 1, condition 5, condition 3;
if condition 5 is concerned, the order of executing the conditions in the same deployment layer 1 is: condition 2, condition 5, condition 1, condition 3;
in this embodiment, the model broad class is, for example, a model broad class for a program, a model broad class for a script, or the like.
In this embodiment, for example, there are model major classes a1, a2, A3, and a4, and according to the deployment level, the screened model major classes are a1 and a2, where a1 corresponds to deployment level 1 and a2 corresponds to deployment level 2.
In this embodiment, the second execution order of each layer, that is, according to the execution conditions, sequentially screens the matched models from the model classes corresponding to the corresponding deployment layers, and uses the models as the models to be built, thereby obtaining the list to be built.
The beneficial effects of the above technical scheme are: the deployment layers are divided according to software development conditions, and then each deployment layer and the condition execution sequence contained in each deployment layer are determined, so that sequential screening of models to be built is guaranteed, screening effectiveness is guaranteed, and a model basis is provided for development.
Example 5:
based on embodiment 4, the list building unit includes:
the first setting subunit is used for setting a first label for the model to be built and is related to the software development condition corresponding to the model to be built;
a second setting subunit, configured to set a second tag to the deployment layer, where the second tag is related to a layer attribute of the deployment layer;
and the establishing subunit is used for establishing a list to be established based on the first label and the second label.
The beneficial effects of the above technical scheme are: by setting the label, the subsequent quick calling of the corresponding content of the label is facilitated, and the development efficiency is improved.
Example 6
Based on the basis of embodiment 1, the environment building module includes:
the matching process unit is used for determining the development attribute of the development requirement and matching the process to be built according to the development attribute;
the pre-judging unit is used for pre-analyzing the execution process of each sub-flow in the flow to be built, pre-judging the execution process, determining whether n3 key execution sections in the execution process meet the execution requirements, and if so, setting a normal execution label for the corresponding sub-flow;
if not, acquiring the key execution section which is not satisfied, and the requirement difference between the key execution section which is not satisfied and the corresponding execution requirement;
the interruption event establishing unit is used for determining a difference correction factor corresponding to the key execution section which is not satisfied according to the requirement difference and establishing an interruption event based on the difference correction factor;
a flow modifying unit, configured to invoke an external modifying program based on the interrupt event, modify the corresponding unsatisfied key execution segment, and after the modification is complete, continue to establish a corresponding interrupt event for the next unsatisfied key execution segment based on a return related program of the interrupt event, so as to obtain an interrupt set corresponding to the sub-flow;
the interruption label setting unit is used for setting an interruption execution label to the corresponding sub-process based on the interruption set, and correcting based on the interruption set when the corresponding sub-process is executed to the key execution section which is not satisfied correspondingly;
and the initial environment building unit is used for acquiring the development frame corresponding to each corrected sub-flow and building an initial development environment.
In this embodiment, the development attribute is related to shopping, and at this time, a flow to be built related to shopping is matched.
In this embodiment, before the flow is formally used for construction, the execution process of each sub-flow is determined, because each execution process has key execution content that needs to be noticed, a key execution section corresponding to the key execution content is found to determine whether the section meets the execution requirement, for example, one sub-flow of shopping is a transaction flow, and the execution requirement corresponding to the transaction flow is that whether a situation that an order is interfered for active deduction exists, if so, the execution requirement is not met, and at this time, a corresponding interrupt event is set to avoid the occurrence of the action.
If not, the behavior is deemed to be qualified.
In this embodiment, the required differences are: there is difference information related to the situation of disturbing the order to make active deduction, so as to construct an interrupt event, where the interrupt event may be an interrupt program set when judging whether the condition is met, so as to jump out the interrupt event for direct execution, and return to continue to execute the subsequent flow after the execution is finished.
In the embodiment, the interruption event is a section of program code which is additionally arranged and used for modifying the defect, so that the condition of actively deducting the money of the interference order is avoided, and the unreasonable condition existing in the development process is reduced.
In this embodiment, the interrupt execution tag is used to better invoke the interrupt event efficiently.
In this embodiment, each sub-process has its corresponding development framework, and the initial development environment is built through these frameworks.
The beneficial effects of the above technical scheme are: the process to be built is obtained according to the development attributes, the existing key execution sections are analyzed to determine whether the process is normal or not, when the process is abnormal, interruption things are built according to the requirement difference, the process is reasonably corrected, and the building rationality of the initial development environment is guaranteed.
Example 7:
based on the basis of embodiment 6, the environment building module further includes:
the link determining unit is used for determining development chain interfaces of different development frames according to the frame attribute of each development frame;
the file establishing unit is used for establishing a link service mapping relation between the current frame and the rest frames according to the development link interfaces and establishing a link file of each development link interface based on the link service mapping relation;
and the model obtaining unit is used for obtaining a plurality of sub models based on the link file and the initial development environment, and determining the model universality of each sub model to obtain a universal building model.
Preferably, the link file includes: searching pointer mapping files, hardware communication addresses, software identification information, interface link relations and development language scripts.
In this embodiment, the development link interface may be a link-like item to ensure that the functional modules formed by different frameworks can interact.
In this embodiment, the universality of the model may be determined by a plurality of indexes related to the universality, so as to ensure the validity of the acquisition.
The beneficial effects of the above technical scheme are: the communication effectiveness among different modules is ensured by establishing different development chain interfaces, and further the development effectiveness is ensured.
Example 8:
based on the embodiment 1, the fusion assembly module, as shown in fig. 2, includes:
the first position determining unit is used for determining the to-be-built position of each to-be-built model in the to-be-built list and determining the general building position of each general building model;
the second position determining unit is used for determining the existing overlapping position, the first independent position and the second independent position based on the position to be built and the general building position;
the assembly information acquisition unit is used for acquiring construction information of an overlapping position, judging construction adaptation degree of the model to be constructed and the universal construction model at the overlapping position, acquiring a first assembly of the construction information when the construction adaptation degree is not less than a preset adaptation degree, correcting information according to the first information and the second information corresponding to the overlapping position when the construction adaptation degree is less than the preset adaptation degree, and acquiring a corresponding second assembly after correcting the information;
the first assembling unit is used for determining a starting address and an ending address of the overlapping position and realizing the assembling of the overlapping position based on an acquisition result;
the second compiling unit is used for acquiring third information of the first independent position and fourth information of the second independent position and compiling the second independent position and the third independent position;
the qualification judging unit is used for detecting the assembly fusion degree of the current position and the adjacent position after assembly is finished, and judging that the assembly of the current position is qualified if the assembly fusion degree is not less than the preset fusion degree;
otherwise, acquiring left side assembly information and right side assembly information of the current position, and performing function consistency adjustment according to a first assembly execution function corresponding to the left side assembly information and a second assembly execution function corresponding to the right side assembly information;
the assembly information adjusting unit is used for acquiring a third assembly of the function consistency adjusting information and adjusting the left assembly information and the right assembly information of the adjacent positions;
and the software development unit is used for realizing the development of the application service software based on the adjusted result and the qualified assembly result.
In this embodiment, detecting the compiled fusion degree X of the adjacent positions includes:
wherein s1 represents the number of adjacent positions; y represents a compiled interaction mean of the model corresponding to the current position and the model of the neighboring position; k is a radical ofiA model assembly interaction value representing the ith adjacent position corresponding model and the current position corresponding model; s # DjAssembly information S representing the current position and assembly information D of the jth adjacent positionjIntersection information of (a); s U DjAssembly information S representing the current position and assembly information D of the jth adjacent positionjUnion information of (3); wherein,
tends to 0;
such as: the building position of the model to be built 1 is a1 position, the building position of the model to be built 2 is a2 position, the general building position of the general building model 1 is a1 position, the general building position of the general building model 2 is a3 position, at this time, the overlapping position is a1, the first independent position is a2 position, and the second independent position is a3 position.
In this embodiment, the first information and the second information are set up information, and the set up information is related to information of the model itself, a position where the model is located, communication and interaction between the model and adjacent surrounding models.
In this embodiment, the degree of adaptation F of different models at the same location is determined:
wherein, is at a rateiThe qualified value of the ith adaptation judgment index of the model to be built at the overlapping position is represented, and the value range is obtainedIs enclosed as [0, 1]]；
The qualified value of the ith adaptation judgment index of the general building model at the overlapping position is represented, and the value range is [0, 1]]；βiThe judgment weight value of the ith adaptive judgment index at the overlapping position is represented; n represents the number of adaptation judgment indexes at the overlapping position.
In this embodiment, the first assembly and the second assembly are operations of performing an assembler or the like.
In this embodiment, performing information correction according to the first information and the second information corresponding to the overlapping positions includes: determining
Is greater than AiThe first index (the judgment threshold value of the ith adaptive judgment index) is used for adjusting the index parameter of the first index so as to realize the correction of the first information and the second information.
In this embodiment, the compilation performs functions such as opinion feedback functions, human-computer interaction functions, and the like.
In this embodiment, B1 is the current position, and left side compiled information corresponding to the left side B1 position of B1 and right side compiled information corresponding to the right side B2 of B1.
And the functional adjustment is performed on the first assembly at the current position through the left assembly information on B1, and the functional adjustment is performed on the second assembly at the current position of B1 through the right assembly information on B2, so that the consistency of the assemblies at the positions of B1 and B2 is ensured.
As shown in fig. 2, C is the adjacent position, C1 is the left position, C2 is the right position, C1 corresponds to the left assembly information, and C2 corresponds to the right assembly information.
In this embodiment, the universal energy is uniformly adjusted to ensure reasonable function at the position.
The beneficial effects of the above technical scheme are: the method comprises the steps of firstly distinguishing positions of models to be built and universal, then calculating the adaptation degree of overlapping positions, selecting and operating subsequent execution processes according to calculation results, secondly, calculating the assembly fusion degree of the current position and the adjacent position after assembly is finished, ensuring assembly compatibility, and ensuring effective fusion of final assembly by adjusting fused related information, further ensuring functional consistency, and providing an effective basis for software development.
Example 9:
based on embodiment 8, the method further comprises:
the verification module is used for verifying the functional components, the display components and the coordination degree of functions and display of the application service software after the development of the application service software is finished;
when the verification passes, performing first verification reminding;
and otherwise, performing second verification reminding, and providing a software optimization scheme based on a verification result.
The beneficial effects of the above technical scheme are: by verification, the effectiveness of development of software is guaranteed, and the compatibility of the software is improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An artificial intelligence application service software development terminal, comprising:
the requirement acquisition module is used for acquiring the development requirement of the software to be developed;
the model distribution module is used for performing pre-analysis on the development requirement, distributing the matched model to be built and building a list to be built;
the environment building module is used for building an initial development environment according to the development attribute of the development requirement and acquiring a general building model;
and the fusion assembly module is used for fusing and assembling the general building model and the list to be built so as to complete the development of the application service software.
2. The artificial intelligence application service software development terminal of claim 1, wherein the requirement acquisition module comprises:
the statistical unit is used for receiving and counting the input demand information;
the preliminary screening unit is used for preliminarily screening the demand information based on a demand screening model, and obtaining n1 combinable sub-demands and n2 non-combinable sub-demands according to a preliminary screening result;
the demand analysis unit is used for carrying out characteristic analysis on the n1 combinable sub-demands and the n2 non-combinable sub-demands based on a demand characteristic analysis standard and judging whether a linking relation between the n1 combinable sub-demands and the n2 non-combinable sub-demands is established or not;
if so, taking the sub-requirements after the connection relationship is established as development requirements;
otherwise, the n1 combinable sub-requirements are taken as development requirements.
3. The artificial intelligence application service software development terminal of claim 2, wherein the demand analysis unit further comprises:
the label setting subunit is configured to perform feature analysis on the n2 unconjugated sub-requirements based on a requirement feature analysis standard to obtain requirement features, and set a corresponding feature label to each requirement feature based on a feature setting policy, where the feature label includes a label attribute value;
a response judgment subunit, configured to construct a tag vector based on the tag attribute value, perform a target response on the tag vector and feature vectors associated with n1 combinable sub-requirements based on a target response model, obtain a response result, and if the response result satisfies a combinable condition, establish an engagement relationship between the n1 combinable sub-requirements and n2 non-combinable sub-requirements based on the combinable condition;
the demand acquisition subunit is used for acquiring development demands based on the sub-demands after the linkage relation is established;
and the application adaptor establishing subunit is used for taking the n1 combinable sub-requirements as development requirements and taking the n2 non-combinable sub-requirements as individual requirements for individual development if the response result does not meet combinable conditions, and establishing application adaptors with the development results corresponding to the n1 combinable sub-requirements after the individual development is finished.
4. An artificial intelligence application service software development terminal according to claim 1, wherein said model distribution module comprises:
the pre-analysis unit is used for splitting the development requirements, determining the software development conditions of each first sub-requirement and carrying out deployment layer division on the software development conditions;
the sequence determining unit is used for performing first determination on the first execution sequence of all the deployment layers according to the layer attributes of different layer division standards and performing second determination on the execution sequence of the first condition related to the same deployment layer;
a parallel condition analysis unit, configured to determine whether a next layer and a previous layer adjacent to the deployment layer exist if a parallel execution condition exists in the second determination result, and if so, determine a layer attribute of the next layer and a layer attribute of the previous layer, and when the layer attribute of the next layer and the layer attribute of the previous layer are not related to the parallel execution condition, randomly set a sequence of the parallel execution condition to obtain a second execution sequence of the corresponding deployment layer;
when the layer attribute of the next layer or the layer attribute of the previous layer is related to the parallel execution condition, sequentially setting the parallel execution condition according to the related degree to obtain a second execution sequence of the corresponding deployment layer;
the model distribution unit is used for sequentially screening corresponding model classes from the model distribution database according to the first execution sequence and sequentially screening corresponding models to be built from the corresponding model classes based on the second execution sequence of each layer;
and the list building unit is used for building a list to be built based on the screening result and the divided deployment layers.
5. The artificial intelligence application service software development terminal of claim 4, wherein the list building unit comprises:
the first setting subunit is used for setting a first label for the model to be built and is related to the software development condition corresponding to the model to be built;
a second setting subunit, configured to set a second tag to the deployment layer, where the second tag is related to a layer attribute of the deployment layer;
and the establishing subunit is used for establishing a list to be established based on the first label and the second label.
6. The artificial intelligence application service software development terminal of claim 1, wherein the environment building module comprises:
the matching process unit is used for determining the development attribute of the development requirement and matching the process to be built according to the development attribute;
the pre-judging unit is used for pre-analyzing the execution process of each sub-flow in the flow to be built, pre-judging the execution process, determining whether n3 key execution sections in the execution process meet the execution requirements, and if so, setting a normal execution label for the corresponding sub-flow;
if not, acquiring the key execution section which is not satisfied, and the requirement difference between the key execution section which is not satisfied and the corresponding execution requirement;
the interruption event establishing unit is used for determining a difference correction factor corresponding to the key execution section which is not satisfied according to the requirement difference and establishing an interruption event based on the difference correction factor;
a flow modifying unit, configured to invoke an external modifying program based on the interrupt event, modify the corresponding unsatisfied key execution segment, and after the modification is complete, return to the relevant program based on the interrupt event, continue to establish a corresponding interrupt event for the next unsatisfied key execution segment, so as to obtain an interrupt set corresponding to the sub-flow;
the interruption label setting unit is used for setting an interruption execution label to the corresponding sub-process based on the interruption set, and correcting based on the interruption set when the corresponding sub-process is executed to the key execution section which is not satisfied correspondingly;
and the initial environment building unit is used for acquiring the development framework corresponding to each corrected sub-flow and building an initial development environment.
7. The artificial intelligence application service software development terminal of claim 6, wherein the environment building module further comprises:
the link determining unit is used for determining development chain interfaces of different development frames according to the frame attribute of each development frame;
the file establishing unit is used for establishing a link service mapping relation between the current frame and the rest frames according to the development link interfaces and establishing a link file of each development link interface based on the link service mapping relation;
and the model obtaining unit is used for obtaining a plurality of sub models based on the link file and the initial development environment, and determining the model universality of each sub model to obtain a universal building model.
8. The artificial intelligence application service software development terminal of claim 7, wherein the link file comprises: searching pointer mapping files, hardware communication addresses, software identification information, interface link relations and development language scripts.
9. The artificial intelligence application service software development terminal of claim 1, wherein the converged assembly module comprises:
the first position determining unit is used for determining the to-be-built position of each to-be-built model in the to-be-built list and determining the general building position of each general building model;
the second position determining unit is used for determining the existing overlapping position, the first independent position and the second independent position based on the position to be constructed and the universal construction position;
the assembly information acquisition unit is used for acquiring construction information of an overlapping position, judging construction adaptation degree of the model to be constructed and the universal construction model at the overlapping position, acquiring a first assembly of the construction information when the construction adaptation degree is not less than a preset adaptation degree, correcting information according to the first information and the second information corresponding to the overlapping position when the construction adaptation degree is less than the preset adaptation degree, and acquiring a corresponding second assembly after correcting the information;
the first assembling unit is used for determining a starting address and an ending address of the overlapping position and realizing the assembling of the overlapping position based on an acquisition result;
the second assembling unit is used for acquiring third information of the first independent position and fourth information of the second independent position and realizing the assembling of the second independent position and the third independent position;
the qualification judging unit is used for detecting the assembly fusion degree of the current position and the adjacent position after assembly is finished, and judging that the assembly of the current position is qualified if the assembly fusion degree is not less than the preset fusion degree;
otherwise, acquiring left side assembly information and right side assembly information of the current position, and performing function consistency adjustment according to a first assembly execution function corresponding to the left side assembly information and a second assembly execution function corresponding to the right side assembly information;
the assembly information adjusting unit is used for acquiring a third assembly of the function consistency adjusting information and adjusting the left assembly information and the right assembly information of the adjacent positions;
and the software development unit is used for realizing the development of the application service software based on the adjusted result and the qualified assembly result.
10. The artificial intelligence application service software development terminal of claim 9, further comprising:
the verification module is used for verifying the functional components, the display components and the coordination degree of functions and display of the application service software after the development of the application service software is finished;
when the verification passes, performing first verification reminding;
and otherwise, performing second verification reminding, and providing a software optimization scheme based on the verification result.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115658045A (en) * | 2022-12-06 | 2023-01-31 | 西安恒歌数码科技有限责任公司 | System and method for rapidly building geographic information data application |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115658045A (en) * | 2022-12-06 | 2023-01-31 | 西安恒歌数码科技有限责任公司 | System and method for rapidly building geographic information data application |
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Application publication date: 20220506 |