|Adm. - Grad.||2018 -|
|Dir.; Codir.||Stéphane Gagnon; Raul Valverde|
Situational Awareness in Cybersecurity: An Empirical Software Engineering Study
Situational Awareness (SA) in Cybersecurity relates to the complex team-based tasks of "gathering information, perceiving and understanding the state of the world, and predicting states of the world forward in time.", Gutzwiller et al. (2020). As per this recent study "research and our additional professional field observations in government, industry, and academia suggest that the utility of SA analysis and measurement has yet to be realized in cyberspace". We propose to develop a measurement instrument using the research methodologies of Empirical Software Engineering, as per Lethbridge et al. (2005) and Runeson & Höst (2009). We will survey the cybersecurity community to develop a framework that helps identify SA capabilities in individuals and teams. We will then perform a more structured testing of this measurement instrument among a select group of experts. The results should be verified using the Partial Least Squares (PLS) measurement method, allowing for a robust result that may be extensively reproduced by other researchers and practitioners in cybersecurity. References: Gutzwiller, R., Dykstra, J., & Payne, B. (2020). Gaps and Opportunities in Situational Awareness for Cybersecurity. Digital Threats: Research and Practice, 1(3), 1-6.; Lethbridge, T. C., Sim, S. E., & Singer, J. (2005). Studying software engineers: Data collection techniques for software field studies. Empirical software engineering, 10(3), 311-341. Runeson, P., & Höst, M. (2009). Guidelines for conducting and reporting case study research in software engineering. Empirical software engineering, 14(2), 131-164.