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Article . 2015 . Peer-reviewed
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A Proposal of Statement Fill-in-blank Problem Using Program Dependence Graph in Java Programming Learning Assistant System

Authors: Nobuo Funabiki; Nobuya Ishihara; Wen-Chung Kao;

A Proposal of Statement Fill-in-blank Problem Using Program Dependence Graph in Java Programming Learning Assistant System

Abstract

To assist Java educations, we have developed a Web-based Java Programming Learning Assistant System (JPLAS), that provides the element fill-in-blank problem and the code writing problem. The former problem is designed for novice students to study the grammar and coding style of Java by filling in correct words to the blanks in a given Java code which are marked automatically through checking for coincidences of correct ones. The latter problem is for students to study writing Java codes for given specifications described in natural language that are automatically verified using the test-driven development (TDD) method. Unfortunately, rough transition exists due to different difficulties found between the two problems. In this paper, we propose the statement fill-in-blank problem in JPLAS by asking students to fill in the gap and write one whole statement in a code where the correctness is verified by the TDD method. The blank statement is selected by generating the Program Dependence Graph (PDG) of the code and finding the statement that has the largest dependence in PDG. We verify the effectiveness through applications of the Java programming course in our department.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    Average
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Top 10%
bronze
Beta
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