A method of distributed software development

By using a pre-trained task decomposition model and code analysis engine, distributed software development is automated, generating efficient and reliable distributed executable components. This solves the problems of unreasonable module division and interface compatibility in traditional methods, thereby improving development efficiency and quality.

CN122111389BActive Publication Date: 2026-07-24GUIZHOU SHUANDA INFORMATION SECURITY TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610471326.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-10
Publication Date
2026-07-24
Estimated Expiration
2046-04-10

AI Technical Summary

Technical Problem

Traditional distributed software development relies on manual design, making it difficult to fully consider performance bottlenecks and resource constraints. Module division is often unreasonable, and interface compatibility is hard to guarantee. Existing tools cannot intelligently generate code suitable for distributed environments, resulting in low development efficiency and poor quality.

Method used

By responding to distributed development demand data, the pre-trained task decomposition model is activated for multi-dimensional analysis, generating a set of task units, and triggering the code analysis engine to perform cross-modal feature fusion. The dynamic integration engine generates executable components containing logical control flow and adaptive resource configuration.

Benefits of technology

It significantly improves the efficiency and quality of distributed software development, reduces the subjectivity of manual partitioning, ensures code structure coordination and interface consistency, adapts to the dynamic changes of the distributed environment, and reduces complexity and the possibility of errors.

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Abstract

The application relates to the technical field of software generation methods, and discloses a distributed software development method. The method responds to the input of distributed development demand data, performs a function module feature extraction operation, wherein the demand data contains an inter-module dependency topology and an interface constraint specification; a pre-trained task decomposition model is activated to perform multidimensional analysis on the development demand data, and a task unit set carrying a resource allocation identifier is output, the resource allocation identifier and a task type establish a dynamic mapping relationship; a code analysis engine is triggered based on the task unit set, cross-modal feature fusion is performed on the inter-module dependency topology, a feature complex of a fused code structure mode and an interface compatibility index is generated; the feature complex is input into a dynamic integration engine for execution sequence planning, and a distributed executable component is output, the executable component contains a logic control flow derived from a task execution sequence and a resource self-adaptive configuration parameter.
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