DocumentCode
3578849
Title
Automatic grader for programming assignment using source code analyzer
Author
Yulianto, Susilo Veri ; Liem, Inggriani
Author_Institution
Sch. of Electr. Eng. & Inf., Inst. Teknol. Bandung, Bandung, Indonesia
fYear
2014
Firstpage
1
Lastpage
4
Abstract
Source code analyzer is a tool for analyzing source code that aim to improve the quality of programs in software development. This research enhanced the ability of source code analyzer for automatic grading of programming assignments. The automatic grading process runs in three phases: (a) source code analysis by source code analyzer, (b) analytical results unification, and (c) unification results assessments. Analysis unification use the XSLTtransformation process, while the assessment done by matching bugs/flaws found in the source code with a list of bugs/flaws that have been defined. This research deliver application called SCAGrader. SCAGrader consists of a Java engine application in the Java language and web-based user interface. The score obtained by giving a negative score to each bugs/flaws found in student´s source code. Beside its independent capability, SCAGrader also integrated to existing blackbox autograding system by services. The other result of this study is a classification of bugs/flaws for teaching programming, based on five source code analyzers.
Keywords
Java; computer science education; pattern matching; program debugging; programming; software quality; source code (software); teaching; user interfaces; Java engine application; Java language; SCAGrader; Web-based user interface; XSLT transformation process; automatic programming assignment grader; blackbox autograding system; bug matching; flaw matching; program quality; programming teaching; software development; source code analysis; source code analyzer; student source code; Computer bugs; Electrical engineering; Encoding; Engines; Java; Programming; XML; XML; XSLT; source code analyzer; static analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Data and Software Engineering (ICODSE), 2014 International Conference on
Print_ISBN
978-1-4799-8175-5
Type
conf
DOI
10.1109/ICODSE.2014.7062687
Filename
7062687
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