CN113127155A - Embedded software modeling method and device - Google Patents

Embedded software modeling method and device Download PDF

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Publication number
CN113127155A
CN113127155A CN202110456134.4A CN202110456134A CN113127155A CN 113127155 A CN113127155 A CN 113127155A CN 202110456134 A CN202110456134 A CN 202110456134A CN 113127155 A CN113127155 A CN 113127155A
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node
acquiring
flow
target
nodes
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张晨东
张天擎
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Beijing Linghang Lichengbei Software Technology Co ltd
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Beijing Linghang Lichengbei Software Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45504Abstract machines for programme code execution, e.g. Java virtual machine [JVM], interpreters, emulators
    • G06F9/45529Embedded in an application, e.g. JavaScript in a Web browser

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  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Stored Programmes (AREA)

Abstract

The invention provides an embedded software modeling method and device, and relates to the technical field of embedded systems. The method comprises the following steps: acquiring a control flow navigation tree structure, wherein the control flow navigation tree structure comprises a plurality of flow chart objects; determining a target flow chart object according to the control flow navigation tree structure; and obtaining all model data corresponding to the target flow chart object, and modeling according to the model data. The method comprises the steps of firstly obtaining a control flow navigation tree structure, determining one of the flow objects as a target flow object, then obtaining all model data corresponding to the target flow object, and directly modeling according to all the model data, thereby improving the modeling efficiency.

Description

Embedded software modeling method and device
Technical Field
The invention relates to the technical field of embedded systems, in particular to an embedded software modeling method and device.
Background
Embedded software serves embedded systems, requiring it to be tightly coupled to external hardware and devices. The embedded system takes application as a center, the embedded software is an application system, is directionally developed according to application requirements, is oriented to industry and market, and needs specific industry experience. Because the application of the embedded system has the requirements of small volume, small storage space, low cost, low power consumption and the like, compared with the software on a mainframe, the embedded system has the characteristics of simplified codes, high execution efficiency and the like, and the embedded system is widely used in the advanced industrial field, particularly the aerospace field. Embedded system software serves as an important control in these areas and is often an important component of the system that ensures the successful performance of safety critical tasks.
However, the operation requirement of the embedded software on the operator is high at present, and when the operator performs complex modeling operation, long time is consumed, so that the efficiency is low.
Disclosure of Invention
The invention aims to provide an embedded software modeling method and device, which are used for solving the problem of low efficiency caused by complex operation in the prior art.
In a first aspect, an embodiment of the present application provides an embedded software modeling method, where the method includes:
acquiring a control flow navigation tree structure, wherein the control flow navigation tree structure comprises a plurality of flow chart objects;
determining a target flow chart object according to the control flow navigation tree structure;
and obtaining all model data corresponding to the target flow chart object, and modeling according to the model data.
In the implementation process, a control flow navigation tree structure is obtained, the control flow navigation tree structure comprises a plurality of flow chart objects, one of the flow chart objects is determined to be a target flow chart object, all model data corresponding to the target flow chart object are obtained, and modeling can be directly performed according to all the model data, so that the modeling efficiency is improved.
In some embodiments of the present invention, before the step of obtaining the control flow navigation tree structure, the method further comprises: acquiring an initial node creation instruction input by a user, and acquiring an initial node according to the initial node creation instruction; acquiring a flow establishing instruction input by a user, and establishing a plurality of computing component nodes according to the flow establishing instruction; the flow creating instruction comprises types of a plurality of computing component nodes; after an end node creation instruction input by a user is acquired, an end node is created; the method comprises the steps of obtaining connection relations among a plurality of computing component nodes, and establishing connection among all the nodes according to the connection relations to obtain a flow chart object, wherein the nodes comprise an initial node, an end node and a computing component node.
In some embodiments of the present invention, after the model data includes nodes, acquiring all model data corresponding to the target flowchart object, and performing modeling according to the model data, the method further includes: determining a target node and acquiring node change information; executing change operation on the target node according to the node change information; and acquiring a change ending signal, and storing the changed target node. The nodes in the target flow chart object can be changed, so that the target nodes can be ensured
In some embodiments of the invention, the node change information comprises node size change information and/or node location movement information.
In a second aspect, an embodiment of the present application provides an embedded software modeling apparatus, where the apparatus includes:
the navigation tree structure acquisition module is used for acquiring a control flow navigation tree structure, and the control flow navigation tree structure comprises a plurality of flow chart objects;
the target flow chart object determining module is used for determining a target flow chart object according to the control flow navigation tree structure;
and the modeling module is used for acquiring all model data corresponding to the target flow chart object and modeling according to the model data.
In some embodiments of the invention, the apparatus further comprises:
the initial node creating module is used for acquiring an initial node creating instruction input by a user and acquiring an initial node according to the initial node creating instruction;
the flow node creating module is used for acquiring a flow creating instruction input by a user and creating a plurality of computing component nodes according to the flow creating instruction; the flow creating instruction comprises types of a plurality of computing component nodes;
the end node creating module is used for creating an end node after acquiring an end node creating instruction input by a user;
and the node connection module is used for acquiring the connection relation among the plurality of computing component nodes and establishing the connection among the nodes according to the connection relation to obtain the flow chart object, wherein the nodes comprise an initial node, an end node and a computing component node.
In some embodiments of the invention, the model data comprises nodes, the apparatus further comprising:
the change information acquisition module is used for determining a target node and acquiring node change information;
the change module is used for executing change operation on the target node according to the node change information;
and the storage module is used for acquiring the change ending signal and storing the changed target node.
In some embodiments of the invention, the node change information comprises node size change information and/or node location movement information.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect described above.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flowchart of an embedded software modeling method according to an embodiment of the present invention;
fig. 2 is a block diagram of an embedded software modeling apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100-embedded software modeling means; 110-a navigation tree structure obtaining module; 120-target flowchart object determination module; 130-a modeling module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that the terms "upper", "lower", "bottom", "top", and the like indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings or orientations or positional relationships conventionally found in use of products of the application, and are used only for convenience in describing the present application and for simplification of description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present application.
In the description of the present application, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "disposed" and "connected" are to be interpreted broadly, e.g., as being either fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Referring to fig. 1, fig. 1 is a flowchart of an embedded software modeling method according to an embodiment of the present invention. The embedded software modeling method comprises the following steps:
step S110: and acquiring a control flow navigation tree structure, wherein the control flow navigation tree structure comprises a plurality of flow chart objects.
The embedded software control flow model can hierarchically organize all the flow chart objects in the model in a tree-type chart mode, so that an operator can search a certain flow chart object in a tree-type navigation interface. For example, a general control unit may be included in a first-level subset under the control flow navigation tree structure, and a second-level subset may be included under the first-level subset under the control flow navigation tree structure, and specifically, the general control unit may include a first target flowchart object, a second target flowchart object, and the like.
Step S120: and determining a target flow chart object according to the control flow navigation tree structure.
The control flow navigation tree structure comprises a plurality of flow chart objects, so that a user can select one of the flow chart objects as a target flow chart object, and the flow chart objects are stored in the control flow navigation tree structure in a tree structure, so that each flow chart object can be checked by clearing the control flow navigation tree structure, and the target flow chart object can be quickly determined.
Step S130: and obtaining all model data corresponding to the target flow chart object, and modeling according to the model data.
Because the target flow chart object comprises all the model data corresponding to the target flow chart object, the target flow chart object can be directly modeled according to all the model data corresponding to the target flow chart object after being determined, and therefore the purpose of rapid modeling is achieved.
In the implementation process, a control flow navigation tree structure is obtained, the control flow navigation tree structure comprises a plurality of flow chart objects, one of the flow chart objects is determined to be a target flow chart object, all model data corresponding to the target flow chart object are obtained, and modeling can be directly performed according to all the model data, so that the modeling efficiency is improved.
In some embodiments of the present invention, before the step of obtaining the control flow navigation tree structure, an initial node creation instruction input by a user may be obtained first, and an initial node may be obtained according to the initial node creation instruction; then acquiring a flow establishing instruction input by a user, and establishing a plurality of computing component nodes according to the flow establishing instruction; the flow creating instruction comprises types of a plurality of computing component nodes; after an end node creation instruction input by a user is acquired, an end node is created; and finally, acquiring the connection relation among a plurality of computing component nodes, and establishing the connection among all the nodes according to the connection relation to obtain a flow chart object, wherein the nodes comprise an initial node, an end node and a computing component node.
For example, a user inputs an initial node creation instruction, acquires an initial node according to the initial node creation instruction, the initial node being a start node, and then acquires a flow creation instruction input by the user to create a plurality of computing component nodes according to the flow creation instruction, the computing component nodes may include a plurality of computing component nodes, and the types of the computing component nodes may include if nodes, close-if nodes, for nodes, close-for nodes, while nodes, close-while nodes, and switch nodes. Case node, action node, break node, close-switch node, etc., the user can select the appropriate logical computing component node according to the actual needs, and the types of the computing component nodes are not limited to the above-listed types.
After an end node creating instruction input by a user is acquired, creating an end node; and then acquiring the connection relation among a plurality of computing component nodes, and establishing the connection among all the nodes according to the connection relation to obtain a flow chart object, wherein the nodes comprise an initial node, an end node and a computing component node. Specifically, if the plurality of computing component nodes include a first node, a second node, and a third node, and the connection relationship between the plurality of computing component nodes in the later stage is that the first node is connected to the initial node, the first node is further connected to the second node, the second node is connected to the end node, the third node is connected to the initial node, and the third node is further connected to the second node, the connection line between each node is established according to the connection relationship, and then the flowchart object can be obtained.
In some embodiments of the present invention, after the model data includes nodes, acquiring all model data corresponding to the target flowchart object, and performing modeling according to the model data, the method further includes: determining a target node and acquiring node change information; executing change operation on the target node according to the node change information; and acquiring a change ending signal, and storing the changed target node.
In some embodiments of the invention, the node change information comprises node size change information and/or node location movement information. The node change information may include node position movement information, node size change information, and node position movement information. The target node may be one node or a plurality of nodes, and for example, if a node needs to be moved in position, the node may be determined as the target node, and if a plurality of nodes need to be moved in position, the nodes may be determined as the target nodes and then moved in position. The operation performed on the target node for the plurality of nodes may be a batch change operation, and specifically, an operation of aligning on the top horizontal portion or an operation of aligning below the top horizontal portion may be performed on the plurality of nodes. Wherein the batch operations may further include different operations for horizontal bottom up alignment, horizontal bottom down alignment, vertical left side left alignment, vertical left side right alignment, vertical right side left alignment, vertical right side right alignment, left horizontal centering, right horizontal centering, upward vertical centering, downward vertical centering, and the like.
Based on the same inventive concept, the present invention further provides an embedded software modeling apparatus 100, please refer to fig. 2, fig. 2 is a structural block diagram of the embedded software modeling apparatus 100 according to an embodiment of the present invention, where the embedded software modeling apparatus 100 includes:
a navigation tree structure obtaining module 110, configured to obtain a control flow navigation tree structure, where the control flow navigation tree structure includes a plurality of flow chart objects;
a target flow chart object determination module 120 for determining a target flow chart object according to the control flow navigation tree structure;
the modeling module 130 is configured to obtain all model data corresponding to the target flowchart object, and perform modeling according to the model data.
In some embodiments of the invention, the apparatus further comprises:
the initial node creating module is used for acquiring an initial node creating instruction input by a user and acquiring an initial node according to the initial node creating instruction;
the flow node creating module is used for acquiring a flow creating instruction input by a user and creating a plurality of computing component nodes according to the flow creating instruction; the flow creating instruction comprises types of a plurality of computing component nodes;
the end node creating module is used for creating an end node after acquiring an end node creating instruction input by a user;
and the node connection module is used for acquiring the connection relation among the plurality of computing component nodes and establishing the connection among the nodes according to the connection relation to obtain the flow chart object, wherein the nodes comprise an initial node, an end node and a computing component node.
In some embodiments of the invention, the model data comprises nodes, the apparatus further comprising:
the change information acquisition module is used for determining a target node and acquiring node change information;
the change module is used for executing change operation on the target node according to the node change information;
and the storage module is used for acquiring the change ending signal and storing the changed target node.
In some embodiments of the invention, the node change information comprises node size change information and/or node location movement information.
Referring to fig. 3, fig. 3 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure.
The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used for storing software programs and modules, such as program instructions/modules corresponding to the embedded software modeling apparatus 100 provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, thereby executing various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102102 may be an integrated circuit chip having signal processing capabilities. The Processor 102102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), etc.; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, the method and apparatus for modeling embedded software provided by the embodiments of the present application includes: acquiring a control flow navigation tree structure, wherein the control flow navigation tree structure comprises a plurality of flow chart objects; determining a target flow chart object according to the control flow navigation tree structure; and obtaining all model data corresponding to the target flow chart object, and modeling according to the model data. The method comprises the steps of firstly obtaining a control flow navigation tree structure, determining one of the flow objects as a target flow object, then obtaining all model data corresponding to the target flow object, and directly modeling according to all the model data, thereby improving the modeling efficiency.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (10)

1. A method for embedded software modeling, the method comprising:
acquiring a control flow navigation tree structure, wherein the control flow navigation tree structure comprises a plurality of flow chart objects;
determining a target flow chart object according to the control flow navigation tree structure;
and acquiring all model data corresponding to the target flow chart object, and modeling according to the model data.
2. The method of claim 1, wherein the step of obtaining a control flow navigation tree structure is preceded by the method further comprising:
acquiring an initial node creation instruction input by a user, and acquiring an initial node according to the initial node creation instruction;
acquiring a flow establishing instruction input by a user, and establishing a plurality of computing component nodes according to the flow establishing instruction; wherein the flow creation instruction comprises types of a plurality of computing component nodes;
after an end node creation instruction input by a user is acquired, an end node is created;
and acquiring the connection relation among a plurality of computing component nodes, and establishing the connection among all the nodes according to the connection relation to obtain the flow chart object, wherein the nodes comprise an initial node, an end node and a computing component node.
3. The method of claim 1, wherein the model data comprises nodes, and after the step of obtaining all model data corresponding to the target flowsheet object and modeling according to the model data, the method further comprises:
determining a target node and acquiring node change information;
executing change operation on the target node according to the node change information;
and acquiring a change ending signal, and storing the changed target node.
4. The method of claim 3, wherein the node change information comprises node size change information and/or node location movement information.
5. An embedded software modeling apparatus, the apparatus comprising:
the navigation tree structure acquisition module is used for acquiring a control flow navigation tree structure, and the control flow navigation tree structure comprises a plurality of flow chart objects;
the target flow chart object determining module is used for determining a target flow chart object according to the control flow navigation tree structure;
and the modeling module is used for acquiring all model data corresponding to the target flow chart object and modeling according to the model data.
6. The apparatus of claim 5, wherein the apparatus further comprises:
the initial node creating module is used for acquiring an initial node creating instruction input by a user and acquiring an initial node according to the initial node creating instruction;
the system comprises a flow node creating module, a flow node creating module and a calculating component creating module, wherein the flow node creating module is used for acquiring a flow creating instruction input by a user and creating a plurality of calculating component nodes according to the flow creating instruction; wherein the flow creation instruction comprises types of a plurality of computing component nodes;
the end node creating module is used for creating an end node after acquiring an end node creating instruction input by a user;
and the node connection module is used for acquiring the connection relation among a plurality of computing component nodes and establishing the connection among all the nodes according to the connection relation to obtain the flow chart object, wherein the nodes comprise an initial node, an end node and a computing component node.
7. The apparatus of claim 5, wherein the model data comprises nodes, the apparatus further comprising:
the change information acquisition module is used for determining a target node and acquiring node change information;
the change module is used for executing change operation on the target node according to the node change information;
and the storage module is used for acquiring the change ending signal and storing the changed target node.
8. The apparatus of claim 7, in which the node change information comprises node size change information and/or node location movement information.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-4.
CN202110456134.4A 2021-04-26 2021-04-26 Embedded software modeling method and device Pending CN113127155A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116931889A (en) * 2023-09-18 2023-10-24 浙江工企信息技术股份有限公司 Software modeling method and system based on object tree

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116931889A (en) * 2023-09-18 2023-10-24 浙江工企信息技术股份有限公司 Software modeling method and system based on object tree
CN116931889B (en) * 2023-09-18 2023-12-12 浙江工企信息技术股份有限公司 Software modeling method and system based on object tree

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