DocumentCode
2538329
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
fYear
2012
fDate
12-14 Oct. 2012
Firstpage
310
Lastpage
313
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-4469-2
Type
conf
DOI
10.1109/BCGIN.2012.87
Filename
6382528
Link To Document