Method for improving annotation rate and annotation quality of open source codes

Abstract

The invention provides a method for improving annotation rate and annotation quality of open source codes. The method comprises the following steps of 1, establishing a code data server, and preprocessing the open source codes; 2, grading difficulty levels of code segments; 3, grading knowledge mastery levels of users; 3, pushing the code segments to the users of the corresponding levels accordingto the levels, thereby enabling the users to perform corresponding operations; and 5, pushing questions automatically generated for the code segments by a system to the users, performing answering bythe users, and if the answering is correct, displaying that the answering of the users is correct, and highlighting answers of the users; and if the answering is not correct, displaying that the answering of the users is wrong, and providing reference answers. According to the method, a batch of code segments with annotations and high-quality code annotations are formed after multi-time cyclic pushing; rich resources are provided for code reuse; the code retrieval efficiency of developers and the code reuse rate in a software development process are effectively improved; and the development efficiency is greatly improved.

Description

technical field [0001] The invention relates to a method for improving the annotation rate and annotation quality of open source codes. Background technique [0002] At present, there are a large number of open source software and codes on the Internet. Open source software has been widely used in various fields and plays a vital role. Because of the existence of open source, developers can introduce open source projects when developing their own projects to achieve some basic functions without reinventing the wheel, saving a lot of time and shortening the development cycle; at the same time, in order to better use open source Projects will contribute to open source projects, making the functions of open source projects more powerful, thereby attracting more users to use open source projects, forming a virtuous circle. [0003] At present, most search engines and open source communities obtain open source codes by searching keywords, so that software developers can analyze ...

AI Technical Summary

Problems solved by technology

[0005] At present, there is no online learning platform with code as the main body on the Internet, and there is no platform that specifically annotates the code, which makes developers unable to effectively search for the code fragments they want through natural language during the development process. It takes a lot of time to source the source code; if there is a platform that can crowdsource code fragments or open source projects to form high-comment rate and high-comment quality code, it will not only greatly save costs, but also complete the purpose of code annotation , which provides great convenience for developers to learn, code retrieval and code reuse, greatly improving development efficiency and development quality

Images