Task unit recommendation method and device for open source software and computer equipment

Abstract

The invention relates to a task unit recommendation method and device for open source software and computer equipment. The method comprises the following steps: acquiring historical development unit data of an open source project, and preprocessing the historical development unit data to obtain component information and serial number information of a development unit in the historical development unit data and association information between a development user and the development unit; constructing a development task unit association graph by taking the component information as an entity of the association graph, the serial number information as an entity attribute and the association information as a relationship; embedding entity information of entities and relation information of relations in the development task unit association graph into a continuous vector space through a knowledge graph embedding algorithm, training a preset task unit recommendation model through a deep learning algorithm, wherein the trained task unit recommendation model is used for monitoring an open source project, and recommending task units based on scene perception according to behaviors of the development user.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to an open source software-oriented task unit recommendation method, device, computer equipment and storage medium. Background technique [0002] As an important driving force of current software innovation, open source has become the focus of attention in both academia and industry. Various open source communities around the world have created more than 800 billion lines of code, 5 million open source projects, and formed 100,000 open source organizations of different sizes, gradually changing the development pattern of the global information industry. [0003] The association between tasks and contributions exists in many forms, and some associations also have different reasons and overlapping forms. The existence of these complex relationships greatly increases the difficulty of project understanding. On the one hand, the complex development unit relationship makes ...

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Problems solved by technology

The existence of these complex relationships greatly increases the difficulty of project understanding

On the one hand, the complex development unit relationship makes the threshold for novices to participate in project development too high, which cannot attract more contributors to participate in project development, making the progress of project development slow down. On the other hand, it is not conducive to existing participants to understand and master the project The status quo of development, so that the behavior of developers cannot be well guided, and there are development activities that waste time and energy such as repeated development

These invalid development activities make contributors' code contributions invalid, and discourage contributors from participating in open source development. At the same time, maintainers spend a lot of time and energy reviewing codes with the same functions, wasting unnecessary time and hindering development of the project

[0004] The current open source software development support platform does not provide unified technical support for the association between task units. It mainly relies on users to manually discover and mark these associations during the development process, and the user's marking method depends on the language habits that are quite different. Project-related knowledge contained in associations is difficult to disseminate and reuse

The recommendation system used in the current open source software has a single function and can only make relevant recommendations based on a certain task, which cannot meet the individual needs of users, and it is difficult to achieve a comprehensive understanding of related knowledge. There are problems of poor adaptability and low efficiency.

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