skip to main content
10.1145/3545947.3576367acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
poster

Validation of a Secure Programming Concept Inventory

Published: 06 March 2023 Publication History

Abstract

Security failures in software arising from failures to practice secure programming are commonplace. Improving this situation requires that practitioners have a clear understanding of the foundational concepts in secure programming to serve as a basis for building new knowledge and responding to new challenges. We developed a Secure Programing Concept Inventory (SPCI) to measure students' understanding of foundational concepts in secure programming. The SPCI consists of thirty-five multiple choice items targeting ten concept areas of secure programming. The SPCI was developed by establishing the content domain of secure programming, developing a pool of test items, multiple rounds of testing and refining the items, and finally testing and inventory reduction to produce the final scale.
Scale development began by identifying the core concepts in secure programming. A Delphi study was conducted with thirty practitioners from industry, academia, and government to establish the foundational concepts of secure programming and develop a concept map. To build a set of misconceptions in secure programming, the researchers conducted interviews with students and instructors in the field. These interviews were analyzed using content analysis. This resulted in a taxonomy of misconceptions in secure programming covering ten concept areas. An item pool of multiple-choice questions was developed. The item pool of 225 was administered to a population of 690 students across four institutions. Item discrimination and item difficulty scores were calculated, and the best performing items were mapped to the misconception categories to create subscales for each concept area resulting in a validated 35 item scale.

References

[1]
J. Davis and M.J. Dark, "Teaching students to design secure systems," IEEE Security and Privacy, vol. 1, no. 2, pp. 56--58, 2003.
[2]
R. ufresne, W. Leonard and W. Gerace, "Making sense of students' answers to multiple-choice questions," The Physics Teacher, vol. 40, pp. 174--180, 2002.

Index Terms

  1. Validation of a Secure Programming Concept Inventory

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2
    March 2023
    1481 pages
    ISBN:9781450394338
    DOI:10.1145/3545947
    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.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 March 2023

    Check for updates

    Author Tags

    1. concept inventory
    2. secure programming

    Qualifiers

    • Poster

    Conference

    SIGCSE 2023
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 47
      Total Downloads
    • Downloads (Last 12 months)15
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 01 Mar 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media