• 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