A system for classifying and clarifying Python syntax errors for educational purposes
Name
1078691087-MIT.pdf
Description
Full printable version
Size
879.85 KB
Format
Adobe PDF
Checksum (MD5)
1dc639f9baef4239a45cd9bbac27c7c8
Author(s)
Kelley, Anne K., M. Eng. Massachusetts Institute of Technology
Advisor(s)
Adam Hartz.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
Many students learning Python frequently encounter syntax errors but have difficulty understanding the error messages and correcting their code. In this thesis, we designed, implemented, and performed preliminary testing of a system for classification of syntax errors commonly made by beginning coders. Errors are classified by constructing a partial syntax tree and analyzing the node containing the error with respect to its surrounding nodes. The system aims to use the classified errors to provide more precise and instructive error messages to aid students in the debugging process.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 65-66).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
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