2026-09-20T00:44:23Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1197502026-06-06T00:55:50Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Adam Hartz.
Kelley, Anne K., M. Eng. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2018-12-18T19:48:27Z
2018-12-18T19:48:27Z
2018
2018
http://hdl.handle.net/1721.1/119750
1078691087
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).
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.
by Anne K. Kelley.
M.Eng.
66 pages
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
A system for classifying and clarifying Python syntax errors for educational purposes
Thesis
application/pdf
Publication
unknown
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