7 results about "Functional description" patented technology

The invention relates to a method for functional analysis of a source system (1), wherein a syntax tree model (3) is generated from the program code data of the source system (1). In order to propose a method for functional analysis of a source system (1), in particular with extensive program code data, which method makes it possible to better identify interrelated functional units and, with high result quality and at the same time low resource requirements, to improve further processing by means of a large language model, the invention provides that a syntax analysis unit (4) generates a syntax embedding model by decomposing the syntax tree model (3) into individual syntax element embeddings (5), each representing a syntax element, and stores said syntax embedding model in a syntax embedding model memory (6), and that a language analysis unit (8) generates a language embedding model by decomposing the program code data into individual language element embeddings (9), each representing a language element, and stores said language embedding model in a language embedding model memory (10), whereupon, by means of a query unit (12), at least one query embedding (13) is generated from a query (11) representing a functional element of the source system (1) and those syntax element embeddings (5) and language element embeddings (9) which lie within a predefined range of similarity to the query embedding (13) are retrieved from the syntax embedding model memory (6) and the language embedding model memory (10), whereupon the syntax elements represented by the retrieved syntax element embeddings (5) and the language elements represented by the retrieved language element embeddings (9) are transferred as result elements (14) to an output unit (15), which generates therefrom a functional description dataset (16) and outputs the latter.

1. Name of the product in this design: Functional Description of an Electronic Device - Graphical User Interface. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photo that best illustrates the design points: Interface change state diagram 2. 5. The carrier uses a conventional design, omitting the rear view, top view, bottom view, left view, and right view. 6. Purpose of Graphical User Interface: A graphical user interface is used to explain software functions. 7. Human-computer interaction method of graphical user interface: In the main view, click any circular button on the right containing the scroll graphic of the letter "i" to enter the interface change state diagram 1. In the interface change state diagram 1, click the "Illustrated Explanation" button in the lower right corner to enter the interface change state diagram 2.

A front end unit (13) generates, from a functional description indicating one or more functions of software written in a natural language, a code generation prompt instructing the generation of source code that implements the one or more functions, and enters the prompt into a code generation model (11), which is a learning model. An execution time estimation unit (12) estimates the execution time of the source code generated by the code generation model (11) in response to the prompt entered by the front end unit (13).

The invention relates to a test script generation method and device of controller software, a vehicle, a system and equipment, and relates to the technical field of automation. The method comprises the following steps: splitting a test case of controller software into test steps; determining an optimal function module for executing the test step based on the semantic information of the test step and function description information corresponding to function modules in a function module library; and determining a test script corresponding to the test case based on the execution parameters of the test steps and the optimal function module. Therefore, the reliability and the coverage rate of automatic testing can be improved, and meanwhile, the time and the cost for manually compiling and debugging scripts are reduced.

This invention provides an automatic solution method and system for job scheduling problems based on a multi-agent framework. The method includes: acquiring a natural language description of the job scheduling problem and loading functions from a preset heuristic algorithm framework; calling a manager agent to parse the natural language description to obtain specific constraints and objectives, and identifying the target function to be modified in the heuristic algorithm framework based on the specific constraints and objectives; calling a code generation agent to parse the functional description of the target function and the specific constraints and objectives to generate reconstructed function code; calling a code detection agent to verify the reconstructed function code; if the verification fails, calling a code modification agent to modify the reconstructed function code, and calling the code detection agent again to verify the modified reconstructed function code, until the reconstructed function code passes verification; if the verification passes, reconstructing the heuristic algorithm framework based on the reconstructed function code, and executing each function in the reconstructed heuristic algorithm framework to output a job scheduling scheme.

This invention discloses a method for describing the functionality of code snippets based on tree-structured neural network machine learning. First, a code dataset is selected for preprocessing, and an abstract syntax tree (AST) is extracted from the code snippet. The descriptive text of the code is then preprocessed, and subtrees within the AST are identified. Irregular trees are transformed into binary trees, and the AST is embedded to obtain its feature vector set. Finally, a logical description model of the code snippet is constructed and trained. A code snippet without comments is input to generate a functional description. This method can quickly parse irregular code snippets, improving reuse efficiency, software quality, and reliability. It also reduces resource investment during reuse, lowers development costs, and enables faster development and launch of new products to meet market demands and competitive pressures through low-cost software reuse.

This invention discloses a HarmonyOS migration method for industrial measurement and control software assisted by a large-scale model and multiple agents. The method includes: constructing a software dependency graph containing business logic, interface layout, and hardware dependencies for the original Qt measurement and control application; dividing the system into independent functional sub-units based on the software dependency graph and generating natural language functional descriptions; constructing a knowledge context of software and hardware interface mapping relationships using the natural language functional descriptions as input, combined with retrieval ranking and semantic reasoning; generating ArkUI interface code and underlying device access encapsulation classes based on the knowledge context of software and hardware interface mapping relationships, and performing consistency checks and iterative optimization; integrating the optimized system to construct the HarmonyOS engineering architecture; and completing the HarmonyOS system migration of the measurement and control software after system-level consistency verification. This invention achieves high-precision seamless migration from Qt to HarmonyOS, significantly improving the automation and accuracy of the migration.