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Getting Started with Source Code Analysis for Programming Education Research

Published: 03 March 2022 Publication History

Abstract

Interesting ideas for computing education research often involve analysis of source code written by beginners. The process is often difficult to carry out: data must be collected from learners and then the code must be analysed. This can be daunting and time-intensive. In this workshop we will show how to get started with syntactic source analysis using a pre-provided data set and an easier analysis technique. The dataset is Blackbox Mini; the Blackbox project has been collecting data from Java novices for the last eight years and a subset of the data, named Blackbox Mini, has been extracted into a SrcML data format. SrcML is an XML-based format for storing program code so that the syntax tree can be navigated using existing powerful XML libraries. This makes source code analysis easier and more accessible to a wider audience. Attendees at the workshop will learn how to use SrcML to work with the Blackbox Mini data set, including basic statistics gathering, and basic syntactic source code analysis. As a result, attendees will be able to design and execute their own source-based research studies. Attendees should bring their own device with an SSH client installed.

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  1. Getting Started with Source Code Analysis for Programming Education Research

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    cover image ACM Conferences
    SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
    March 2022
    254 pages
    ISBN:9781450390712
    DOI:10.1145/3478432
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 March 2022

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    Author Tags

    1. blackbox
    2. blackbox mini
    3. source code analysis
    4. srcml

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    SIGCSE 2022
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    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

    Upcoming Conference

    SIGCSE TS 2025
    The 56th ACM Technical Symposium on Computer Science Education
    February 26 - March 1, 2025
    Pittsburgh , PA , USA

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