Automatic construction of a bug library for object-oriented novice Java programmer errors

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Conference Proceeding

Source Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

5091 LNCS

First Page

184

Last Page

193

Publication Date

12-1-2008

Abstract

Machine learning techniques have been applied to the task of student modeling, more so in building tutors for acquiring programming skill. These were developed for various languages (Pascal, Prolog, Lisp, C++) and programming paradigms (procedural and declarative) but never for object-oriented programming in Java. JavaBugs builds a bug library automatically using discrepancies between a student and correct program. While other works analyze code snippets or UML diagrams to infer student knowledge of object-oriented design and programming, JavaBugs examines a complete Java program and identifies the most similar correct program to the student's solution among a collection of correct solutions and builds trees of misconceptions using similarity measures and background knowledge. Experiments show that JavaBugs can detect the most similar correct program 97% of the time, and discover and detect 61.4% of student misconceptions identified by the expert. © 2008 Springer-Verlag Berlin Heidelberg.

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Digitial Object Identifier (DOI)

10.1007/978-3-540-69132-7-23

Disciplines

Computer Sciences | Software Engineering

Keywords

Object-oriented programming (Computer science); Software failures

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