Please use this identifier to cite or link to this item: http://saruna.mnu.edu.mv/jspui/handle/123456789/214
Title: Automatic assessment of Java code
Authors: Khalid, Adam
Keywords: Java
Automatic Computer Program
Issue Date: 1-Jun-2013
Publisher: Postgraduate Research Centre, MNU
Citation: Adam, K. (2013). Automatic assessment of Java code. Maldives National Journal of Research, 1(1), 7-32.
Series/Report no.: MNUJR;1
Abstract: In this study a tool was developed which marks automatically computer programs written by novices in Java. Existing open source static analysers were evaluated in the development. Metrics and marking schemes were developed to mark and grade the programming assignments automatically. A sample of 59 first-year programming students’ projects was selected for marking. The projects were marked manually and automatically. The results showed that there is a high correlation between manual and automatic marking for all criteria. The mean Kendall’s tau is over 0.75 indicating a very high level of correlation between manual and automatic marking. However, depending on the marking criteria, non-systemic variations were found.
URI: saruna.mnu.edu.mv/jspui/handle/123456789/214
ISSN: 2308-5959
Appears in Collections:Volume 1, number 1, June 2013

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