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Measuring Self-efficacy in Secure Programming

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Information Security Education for Cyber Resilience (WISE 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 615))

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Abstract

Computing students are not receiving enough education and practice in secure programming. A key part of being able to successfully implement secure programming practices is the development of secure programming self-efficacy. This paper examines the development of a scale to measure secure programming self-efficacy among students participating in a secure programming clinic (SPC). The results show that the secure programming self-efficacy scale is a reliable and useful measure that correlates satisfactorily with related measures of programming expertise. This measure can be used in secure programming courses and other learning environments to assess students’ secure programming efficacy.

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References

  1. CVE Database. https://cve.mitre.org. Accessed 15 Apr 2021

  2. Zetter, K.: Serious Error in Diebold Voting Software Caused Lost Ballots in California County—Update. Wired (2008)

    Google Scholar 

  3. Checkoway, S., et al.: Comprehensive experimental analyses of automotive attack surfaces. In: Proceedings of the 20th USENIX Security Symposium, USENIX Association, Berkeley, CA, USA (2011)

    Google Scholar 

  4. Weinberg, G.: The Psychology of Computer Programming. Van Nostrand Reinhold, New York (1971)

    Google Scholar 

  5. Bishop, M., Orvis, B.: A clinic to teach good programming practices. In: Proceedings of the 10th Colloquium on Information Systems Security Education, pp. 168–174 (2006)

    Google Scholar 

  6. Bishop, M.: A clinic for ‘secure’ programming. IEEE Secur. Priv. 8(2), 54–56 (2010)

    Article  Google Scholar 

  7. Dark, M., Stuart, L., Ngambeki, I., Bishop, M.: Effect of the secure programming clinic on learners’ secure programming practices. J. Colloq. Inf. Syst. Secur. Educ. 4(1) (2016)

    Google Scholar 

  8. Bishop, M., et al.: Learning principles and the secure programming clinic. In: Drevin, L., Theocharidou, M. (eds.) WISE 2019. IFIP Advances in Information and Communication Technology IAICT, vol. 557, pp. 16–29. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-23451-5_2

    Chapter  Google Scholar 

  9. Bandura, A.: Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84(2), 139–161 (1977)

    Article  Google Scholar 

  10. LaMorte, W. The Social Cognitive Theory (2019)

    Google Scholar 

  11. Bandura, A.: Self-Efficacy: The Exercise of Control. Worth Publishers, New York (1997)

    Google Scholar 

  12. Ramalingam, V., Labelle, D., Wiedenbeck, S.: Self-efficacy and mental models in learning to program. ACM SIGCSE Bull. 36(3), 171–175 (2004)

    Article  Google Scholar 

  13. Gurer, M., Cetin, I., Top, E.: Factors affecting students’ attitudes toward computer programming. Inform. Educ. 18(2), 281–296 (2019)

    Article  Google Scholar 

  14. Ramalingam, V., Wiedenbeck, S.: Development and validation of scores on a computer programming self-efficacy scale and group analyses of novice programmer self-efficacy. J. Educ. Comput. Res. 19(4), 367–381 (1998)

    Article  Google Scholar 

  15. Sherer, M., Adams, C.: Construct validation of the self-efficacy scale. Psychol. Rep. 53(3), 899–902 (1983)

    Article  Google Scholar 

  16. Chen, G., Gully, S., Eden, D.: Validation of a new general self-efficacy scale. Organ. Res. Methods 4(1), 62–83 (2001)

    Article  Google Scholar 

  17. Bishop, M., Dai, J., Dark, M., Ngambeki, I., Nico, P., Zhu, M.: Evaluating secure programming knowledge. In: Bishop, M., Futcher, L., Miloslavskaya, N., Theocharidou, M. (eds.) Information Security Education for a Global Digital Society. WISE 2017. IFIP Advances in Information and Communication Technology, vol. 503. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58553-6_5

  18. Dark, M., Ngambeki, I., Bishop, M., Belcher, S.: Teach the hands, train the mind . . . a secure programming clinic! In: Proceedings of the 19th Colloquium for Information Systems Security Education, pp. 119–133 (2015)

    Google Scholar 

  19. Frieze, C., Quesenberry, J.: How computer science at CMU is attracting and retaining women. Commun. ACM 62(2), 23–26 (2019)

    Article  Google Scholar 

  20. Ganley, C., George, C., Cimoian, J., Makowski, M.: Gender equity in college majors: looking beyond the stem/non-stem dichotomy for answers regarding female participation. Am. Educ. Res. J. 15(3), 453–487 (2017)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of California, Davis, USA

    Matt Bishop & Shiven Mian

  2. Purdue University, West Lafayette, USA

    Ida Ngambeki

  3. California State University, Sacramento, USA

    Jun Dai

  4. California Polytechnic State University, San Luis Obispo, USA

    Phillip Nico

Authors
  1. Matt Bishop
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  2. Ida Ngambeki
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  3. Shiven Mian
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  4. Jun Dai
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  5. Phillip Nico
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Corresponding author

Correspondence to Ida Ngambeki .

Editor information

Editors and Affiliations

  1. North-West University, Potchefstroom, South Africa

    Lynette Drevin

  2. The National Research Nuclear University MEPhI, Moscow, Russia

    Natalia Miloslavskaya

  3. University of Johannesburg, Johannesburg, South Africa

    Wai Sze Leung

  4. University of Johannesburg, Johannesburg, South Africa

    Suné von Solms

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Bishop, M., Ngambeki, I., Mian, S., Dai, J., Nico, P. (2021). Measuring Self-efficacy in Secure Programming. In: Drevin, L., Miloslavskaya, N., Leung, W.S., von Solms, S. (eds) Information Security Education for Cyber Resilience. WISE 2021. IFIP Advances in Information and Communication Technology, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-030-80865-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-80865-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80864-8

  • Online ISBN: 978-3-030-80865-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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