Categorizing Compiler Error Messages with Principal Component Analysis

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Title: Categorizing Compiler Error Messages with Principal Component Analysis
Authors: Becker, Brett A.
Mooney, Catherine
Permanent link: http://hdl.handle.net/10197/7889
Date: 29-May-2016
Abstract: Being a competent programmer is critical for students in all computing disciplines and software engineering in particular. Novice programming students face a number of challenges and these have been shown to contribute to worrying dropout rates for students majoring in computing, and the growing number of non-majors who are learning to program. Methods of identifying and helping at-risk programming students have been researched for decades. Much of this research focuses on categorizing the errors that novice programmers make, in order to help understand why these errors are made, with the goal of helping them overcome these errors quickly, or avoid them altogether. This paper presents the first known work on categorizing compiler errors using Principal Component Analysis. In this, we find a new way of discovering categories of related errors from data produced by the students in the course of their programming activity. This method may be used to identify where these students are struggling and provide direction in efforts to help them.
Type of material: Conference Publication
Keywords: Compiler errors;Compiler error messages;Novice programmers;CS1;Error message categorization;Java programming;Principal component analysis
Language: en
Status of Item: Peer reviewed
Conference Details: 12th China-Europe International Symposium on Software Engineering Education (CEISEE 2016), Shenyang, China, 28-29 May 2016
Appears in Collections:Computer Science Research Collection

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