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JavaParser: A fine-grain concept indexing tool for java problems

Hosseini, R and Brusilovsky, P (2013) JavaParser: A fine-grain concept indexing tool for java problems. In: UNSPECIFIED.

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Abstract

Multi-concept nature of problems in the domain of programming languages requires fine-grained indexing which is critical for sequencing purposes. In this paper, we propose an approach for extracting this set of concepts in a reliable automated way using JavaParser tool. To demonstrate the importance of fine-grained sequencing, we provide an example showing how this information can be used for problem sequencing during exam preparation.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Hosseini, Rroh38@pitt.eduROH38
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 1 January 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: CEUR Workshop Proceedings
Volume: 1009
Page Range: 60 - 63
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Intelligent Systems
School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1613-0073
Date Deposited: 27 Oct 2015 16:17
Last Modified: 01 Nov 2017 12:57
URI: http://d-scholarship.pitt.edu/id/eprint/26270

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