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

Abstract

The present application relates to an open source software-oriented task unit recommendation method, device and computer equipment. The method includes: obtaining historical development unit data of open source projects, preprocessing the historical development unit data, obtaining the component information and serial number information of the development unit in the historical development unit data, and the association information between the development user and the development unit ; Use the component information as the entity of the association map, the serial number information as the entity attribute, and the association information as the relationship to construct the development task unit association map; through the knowledge map embedding algorithm, the entity information of the entity in the development task unit association map and the relationship information of the relationship Embedded in a continuous vector space, the preset task unit recommendation model is trained through a deep learning algorithm, and the trained task unit recommendation model is used for monitoring open source projects, and the task unit recommendation based on scene awareness is performed according to the behavior 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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