Making Python easier to learn with improved syntax error reporting

Author(s)
Briasco-Stewart, Samantha (Samantha Marie)
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Adam Hartz.
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Abstract
In this thesis, we examine which types of compilation-time errors are most prevalent among Python learners at MIT. Then, in order to improve Python's error reporting, we design and implement a system to describe more accurately selected syntax errors, the least well described of the prevalent errors. This system is tested automatically against a set of hand-classified syntax error-producing code samples, as well as by hand against an unclassified set. Lastly, we design and implement a graphical interface to support the description system, and integrate this graphical interface into a popular Python development environment, IDLE.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 57-58).
 
Date issued
2018
URI
http://hdl.handle.net/1721.1/119778
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.
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