CN117369772A - Software engineering intelligent construction engine system based on large language reasoning model - Google Patents
Software engineering intelligent construction engine system based on large language reasoning model Download PDFInfo
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Abstract
The invention discloses a software engineering intelligent construction engine system based on a large language reasoning model, which comprises a project flow standardization engine, a project automation construction engine, a project automation test engine, a project automation deployment engine and a project automation document engine; the invention integrates various tools and frames, has the advantages of high automation degree and good interactivity, utilizes the project flow standardization engine to automatically convert non-standard flow expression into flow description conforming to the BPMN 2.0 standard, utilizes the project automation construction engine to automatically generate the basic frame and basic code of the project, utilizes the project automation test engine to realize high-efficiency automatic test, utilizes the project automation deployment engine to automatically deploy the project, and utilizes the project automation document engine to automatically generate documents conforming to the output specification and format requirements of customers, thereby realizing the high-efficiency construction, low-cost development, high-quality high-speed delivery and high maintainability of the software engineering project.
Description
Technical Field
The invention relates to the technical field of software engineering, in particular to a software engineering intelligent construction engine system based on a large language reasoning model.
Background
In the software development process, various tools are needed to be utilized, and in the prior art, common tools and frameworks are specifically as follows:
enterprise business process engine (e.g., flowable): flowable is a lightweight business process engine and business automation platform that can simulate, execute, query and monitor business processes and business rules. It provides a graphical interface that enables users to design, configure, and deploy business processes. Enterprise application development framework (Spring whole home barrel): the Spring whole home barrel is an ecological system integrating various enterprise application development tools and frameworks, including Spring Framework, spring Boot, spring Cloud and the like, and provides a powerful, flexible and easy-to-use development environment for developers. Enterprise application Test framework (e.g., spring Test): spring Test provides support for testing Spring components, including unit testing and integration testing. It contains many utilities and annotations for testing Spring applications. Enterprise application deployment and operation framework (e.g., kubernetes): kubernetes is an open-source container orchestration system for automating the deployment, expansion, and operation of applications. It provides a platform that enables developers to manage and coordinate container applications in a declarative manner. Enterprise application document tools (e.g., swagger): swagger is an open source framework for automation of API definition, creation, testing and documentation. It enables the developer to automatically generate API documents and test tools through a simple configuration file and some annotations. Enterprise code instrumentation (e.g., gilthub common): github code is an AI-driven code completion tool that automatically generates code fragments based on developer inputs and comments, thereby speeding up the development process. Large language model (e.g., baichuan 13B): baichuan 13B is a large language model that can understand and generate natural language text through deep learning and extensive training data. It can be used for a variety of NLP tasks including text classification, named entity recognition, semantic similarity calculation, etc. Its powerful language reasoning capabilities can be applied in many fields of software engineering, including code generation, automatic document generation, etc.
The above tools and frames have the following drawbacks in particular:
firstly, the integration is difficult: while Flowable, spring whole home barrels, spring Test, kubernetes, swagger, and Github Copilot, among other tools and frameworks, perform well in their respective fields, integration between them often requires significant time and effort from engineers. Each tool and framework has its own way of configuration and use, integrating them together to build and maintain software items is a challenging task.
Secondly, the degree of automation is not enough: while the tools and frameworks described above enable automation of development, testing, and deployment to some extent, the degree of automation in terms of project flow understanding, code generation, test design, and document generation remains inadequate. Especially in complex enterprise-level software engineering projects, lack of deep understanding of project requirements and flows may result in an insufficient degree of automation, thereby increasing the development and maintenance costs of the project.
Thirdly, the interactivity is insufficient: existing tools and frameworks often lack efficient interaction with engineers and cannot adjust the process of project construction, testing, and deployment in real-time based on the feedback and guidance of the engineers. This may result in the project failing to follow the customer's expectations and needs, thereby affecting the quality and progress of the project.
Disclosure of Invention
The invention aims to provide a software engineering intelligent construction engine system based on a large language reasoning model so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the software engineering intelligent construction engine system based on the large language reasoning model comprises a project flow standardization engine, a project automation construction engine, a project automation test engine, a project automation deployment engine and a project automation document engine, wherein the project flow standardization engine is connected with the project automation construction engine in a data mode, the project automation construction engine is connected with the project automation test engine in a data mode, the project automation test engine is connected with the project automation deployment engine and the project automation document engine in a data mode, and the project automation deployment engine and the project automation document engine are connected with the project automation construction engine in a data mode.
Preferably, a standard flow model generated by the project flow standardization engine is used as input of a project automation construction engine to provide basic information for construction of a project framework; the project framework and codes generated by the project automation construction engine are used as the input of the project automation test engine, so that a foundation is provided for the design of the test cases; the project automation deployment engine and the project automation document engine realize the automation deployment and the document generation of the project based on the information generated by the project automation construction engine and the project automation test engine.
Preferably, the project flow standardization engine has natural language understanding and machine learning capabilities, specifically: through the natural language understanding and machine learning capability of the large language model, the automatic understanding and conversion of the project flow are realized.
Preferably, the project automation construction engine has code generation and automatic filling capabilities, specifically: basic codes of the project are automatically generated and filled out by utilizing the code generation capability of the large language model.
Preferably, the project automation test engine has the capability of automating test design, test code writing and execution, specifically: and automatically designing and generating unit test and integrated test codes by utilizing the code generation capability of the large language model, and automatically executing test cases.
Preferably, the project automation deployment engine has automation deployment and operation and maintenance capabilities, specifically: by automatically collecting various parameters of a target environment, utilizing analysis, reasoning and code generation capacity of a large language model, generating an automatic deployment code based on Kubernetes, and executing automatic deployment and operation and maintenance, rapid, accurate and efficient deployment of items is realized.
Preferably, the project automatic document engine has an automatic document generation capability, specifically: and automatically identifying the template format of the client document by utilizing the analysis and reasoning capability of the large language model, and converting the project codes into design documents, test documents and acceptance documents which meet the requirements of clients.
Compared with the prior art, the invention has the beneficial effects that: the invention integrates various tools and frames, has the advantages of high automation degree and good interactivity, utilizes the project flow standardization engine to automatically convert non-standard flow expression into flow description conforming to the BPMN 2.0 standard, utilizes the project automation construction engine to automatically generate the basic frame and basic code of the project, utilizes the project automation test engine to realize high-efficiency automatic test, utilizes the project automation deployment engine to automatically deploy the project, and utilizes the project automation document engine to automatically generate documents conforming to the output specification and format requirements of customers, thereby realizing the high-efficiency construction, low-cost development, high-quality high-speed delivery and high maintainability of the software engineering project.
Drawings
FIG. 1 is a system block diagram of the present invention;
fig. 2 is a flow chart of the system of the present invention.
In the figure: 1. a project flow normalization engine; 2. an item automation construction engine; 3. an item automation test engine; 4. an item automation deployment engine; 5. project automation document engine.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, an embodiment of the present invention is provided: the system comprises a project flow standardization engine 1, a project automation construction engine 2, a project automation test engine 3, a project automation deployment engine 4 and a project automation document engine 5, wherein the project flow standardization engine 1 is in data connection with the project automation construction engine 2, the project automation construction engine 2 is in data connection with the project automation test engine 3, the project automation test engine 3 is in data connection with the project automation deployment engine 4 and the project automation document engine 5, and the project automation deployment engine 4 and the project automation document engine 5 are in data connection with the project automation construction engine 2; the standard flow model generated by the project flow standardization engine 1 is used as input of the project automation construction engine 2 to provide basic information for the construction of project frames; the project framework and codes generated by the project automation construction engine 2 are used as the input of the project automation test engine 3, so as to provide a foundation for the design of test cases; the project automation deployment engine 4 and the project automation document engine 5 realize the automation deployment and the document generation of the project based on the information generated by the project automation construction engine 2 and the project automation test engine 3; the project flow standardization engine 1 has natural language understanding and machine learning capabilities, and specifically comprises: the automatic understanding and conversion of the project flow are realized through the natural language understanding and machine learning capability of the large language model; the project automation construction engine 2 has code generation and automatic filling capabilities, specifically: automatically generating and filling basic codes of the project by utilizing the code generation capability of the large language model; the project automation test engine 3 has the capabilities of automation test design, test code writing and execution, and specifically comprises the following components: automatically designing and generating unit test and integrated test codes by utilizing the code generation capacity of the large language model, and automatically executing test cases; the project automation deployment engine 4 has automation deployment and operation and maintenance capabilities, specifically: by automatically collecting various parameters of a target environment, utilizing analysis, reasoning and code generation capacity of a large language model, generating an automatic deployment code based on Kubernetes, and executing automatic deployment and operation and maintenance, rapid, accurate and efficient deployment of items is realized; the project automatic document engine 5 has an automatic document generation capability, specifically: and automatically identifying the template format of the client document by utilizing the analysis and reasoning capability of the large language model, and converting the project codes into design documents, test documents and acceptance documents which meet the requirements of clients.
Working principle: when the method is used for software development, clients or engineers input nonstandard flow information to the project flow standardization engine 1, and the project flow standardization engine 1 utilizes an open source large language model Baichuan2-53B to understand nonstandard flow expression of clients through natural language processing and machine learning technology and convert the nonstandard flow expression into flow description conforming to the BPMN 2.0 standard; the engine can automatically identify and analyze the flow information provided by the clients and generate a standard flow model; the project automation construction engine 2 is combined with a Spring whole home barrel (such as Spring Framework 6.0.x,Spring Boot 2.5.2,Spring Cloud 2021.x), a flow layout engine Flowable7.0.0 and a large language model Baichuan2-53B to automatically construct a basic Framework of the project; in an interactive environment, engineers can adjust and rectify the generated frames, and simultaneously automatically fill in basic codes of projects by utilizing the code generation capacity of a large language model; the project automation Test engine 3 automatically understands the business flow of a customer by integrating a Spring Test 5.2.9 and a large language model Baichuan2-53B and designs corresponding unit Test and black box Test cases; the test cases and the project codes are automatically integrated, so that efficient automatic test is realized; the project automation deployment engine 4 automatically generates a deployment script and implements automation deployment of projects by understanding the production environment and deployment requirements of clients based on the Kubernetes 1.26 and the large language model Baichuan 2-53B; the project automatic document engine 5 generates a document frame Sphinx 7.2.6 and a large language model Baichuan2-53B by combining the codes of the main stream, automatically recognizes the template format according to the document template requirement of a client, and converts the project codes into a design document, a test document, an acceptance document and the like so as to meet the output specification and format requirement of the client; the invention has the following advantages: firstly, development efficiency is improved: the invention can obviously improve the efficiency of software development; through automatic flow conversion, project construction, test design and implementation, project deployment and document generation, the manual workload of engineers in the links is greatly reduced, so that the engineers can put more energy on the development of core business logic; secondly, the development cost is reduced: the automatic project construction and test design can remarkably reduce the development cost of the project; by automatic code generation and test case design, the time of manual coding and test design of engineers is reduced, so that the labor cost of projects is reduced; thirdly, the project quality is improved: the quality of the project can be ensured by automatic test design and execution; the test cases with wide coverage can be automatically generated through an automatic test engine, so that the correctness and stability of the project are ensured; fourth, accelerate project delivery: the delivery process of the project can be greatly accelerated through automatic project construction, test and deployment; the automatic process can ensure that the project is efficiently and accurately completed according to a preset schedule, thereby meeting the delivery requirements of clients; fifthly, the document quality and consistency are improved: the automatic document generation can ensure the quality and consistency of project documents; by automatically identifying the template format and generating a design document, a test document and an acceptance document according to the output specification and format requirements of a client, the quality and consistency of the documents are ensured; sixth, the maintainability of the project is enhanced: standardized flow expression and automated document generation can enhance maintainability of the project; by generating clear and accurate project documents, engineers can quickly understand the structure and business logic of the project, thereby facilitating the maintenance and upgrading of the project in later period; seventh, facilitating customer and engineer interactions: through interaction with engineers, the project is ensured to be carried out according to the expectations and the demands of customers; the interactive project construction process enables clients and engineers to communicate and coordinate effectively at various stages of the project, ensuring successful delivery of the project.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention 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 (7)
1. The software engineering intelligent construction engine system based on the large language reasoning model comprises a project flow standardization engine (1), a project automation construction engine (2), a project automation test engine (3), a project automation deployment engine (4) and a project automation document engine (5), and is characterized in that: the project flow standardization engine (1) is in data connection with the project automation construction engine (2), the project automation construction engine (2) is in data connection with the project automation test engine (3), the project automation test engine (3) is in data connection with the project automation deployment engine (4) and the project automation document engine (5), and the project automation deployment engine (4) and the project automation document engine (5) are in data connection with the project automation construction engine (2).
2. The large language reasoning model-based software engineering intelligent construction engine system of claim 1, wherein: the standard flow model generated by the project flow standardization engine (1) is used as input of the project automation construction engine (2) to provide basic information for the construction of a project framework; the project framework and codes generated by the project automation construction engine (2) are used as the input of the project automation test engine (3), so as to provide a foundation for the design of test cases; the project automation deployment engine (4) and the project automation document engine (5) realize the automation deployment and the document generation of the project based on the information generated by the project automation construction engine (2) and the project automation test engine (3).
3. The large language reasoning model-based software engineering intelligent construction engine system of claim 2, wherein: the project flow standardization engine (1) has natural language understanding and machine learning capabilities, and specifically comprises the following steps: through the natural language understanding and machine learning capability of the large language model, the automatic understanding and conversion of the project flow are realized.
4. The large language reasoning model-based software engineering intelligent construction engine system of claim 2, wherein: the project automation construction engine (2) has code generation and automatic filling capabilities, and specifically comprises the following steps: basic codes of the project are automatically generated and filled out by utilizing the code generation capability of the large language model.
5. The large language reasoning model-based software engineering intelligent construction engine system of claim 2, wherein: the project automation test engine (3) has the capabilities of automatic test design, test code writing and execution, and specifically comprises the following components: and automatically designing and generating unit test and integrated test codes by utilizing the code generation capability of the large language model, and automatically executing test cases.
6. The large language reasoning model-based software engineering intelligent construction engine system of claim 2, wherein: the project automation deployment engine (4) has automation deployment and operation and maintenance capabilities, and specifically comprises the following steps: by automatically collecting various parameters of a target environment, utilizing analysis, reasoning and code generation capacity of a large language model, generating an automatic deployment code based on Kubernetes, and executing automatic deployment and operation and maintenance, rapid, accurate and efficient deployment of items is realized.
7. The large language reasoning model-based software engineering intelligent construction engine system of claim 2, wherein: the project automatic document engine (5) has automatic document generation capability, specifically: and automatically identifying the template format of the client document by utilizing the analysis and reasoning capability of the large language model, and converting the project codes into design documents, test documents and acceptance documents which meet the requirements of clients.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117724683A (en) * | 2024-02-07 | 2024-03-19 | 深圳海云安网络安全技术有限公司 | Business logic coding frame generation method and system based on large language model |
| CN117992078A (en) * | 2024-04-03 | 2024-05-07 | 山东浪潮科学研究院有限公司 | Automatic deployment method for reasoning acceleration service based on TensorRT-LLM model |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117724683A (en) * | 2024-02-07 | 2024-03-19 | 深圳海云安网络安全技术有限公司 | Business logic coding frame generation method and system based on large language model |
| CN117724683B (en) * | 2024-02-07 | 2024-04-26 | 深圳海云安网络安全技术有限公司 | Business logic coding frame generation method and system based on large language model |
| CN117992078A (en) * | 2024-04-03 | 2024-05-07 | 山东浪潮科学研究院有限公司 | Automatic deployment method for reasoning acceleration service based on TensorRT-LLM model |
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