Title :
Automatic Identification of Knowledge Points from Program Code Based on Syntax Feature Tree
Author :
Sun, Cihai ; Liu, Hualing
Author_Institution :
Bus. Inf. Manage. Sch., Shanghai Inst. of Foreign Trade, Shanghai, China
Abstract :
Whether it is in the program design training recommending system or in the code searching domain, it may need to identify or get the statistic of knowledge in the code. However, it is easy to be overlooked and to get errors using manual identification. Besides, it isn´t real-time. This paper will use the method that generate the syntax tree and use feature tree to match the knowledge in the syntax tree to identify code knowledge automatically. The experimental results show that the system can effectively and accurately gathers the statistic of knowledge in program code in real time.
Keywords :
program compilers; recommender systems; automatic identification; code searching; knowledge points; manual identification; program code; recommending system; syntax feature tree; Business; Data structures; Educational institutions; Manuals; Solids; Syntactics; Training; Automatic identification; Feature tree match; Syntax tree;
Conference_Titel :
Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4469-2
DOI :
10.1109/BCGIN.2012.87