Arty Starr | Searcharxiv

arXiv2026

Theory of Troubleshooting: The Developer's Cognitive Experience of Overcoming Confusion

This paper introduces a Theory of Troubleshooting that is rooted in cognitive science. This theory helps software developers explain the challenges they face and the project risks that emerge as troubleshooting becomes difficult. We define troubleshooting as the cognitive problem-solving process of identifying, understanding, and constructing a mental model of the cause of an unexpected system behavior, and consider the cognitive process of troubleshooting to be an integral part of the activity of debugging. Troubleshooting is a particularly intense and draining aspect of software work, placing sustained demands on attention, working memory, and mental modeling. By surfacing and naming the confusion experience inherent in troubleshooting in terms of neurological and attentional dynamics, our theory explains how prolonged troubleshooting can deplete cognitive resources and lead to cognitive fatigue. In the study presented in this paper, we interview 27 professional developers about their troubleshooting experiences, and follow a Constructivist Grounded Theory approach to construct a theory grounded in empirical data. Our theory contributes to research on Developer Experience by providing a cognitive foundation for understanding troubleshooting difficulty, fatigue, and sustainability risk--and offers practical implications for both research and industry.

cs.SE↗

arXiv2024

Fuzzy to Clear: Elucidating the Threat Hunter Cognitive Process and Cognitive Support Needs

With security threats increasing in frequency and severity, it is critical that we consider the important role of threat hunters. These highly-trained security professionals learn to see, identify, and intercept security threats. Many recent works and existing tools in cybersecurity are focused on automating the threat hunting process, often overlooking the critical human element. Our study shifts this paradigm by emphasizing a human-centered approach to understanding the lived experiences of threat hunters. By observing threat hunters during hunting sessions and analyzing the rich insights they provide, we seek to advance the understanding of their cognitive processes and the tool support they need. Through an in-depth observational study of threat hunters, we introduce a model of how they build and refine their mental models during threat hunting sessions. We also present 23 themes that provide a foundation to better understand threat hunter needs and suggest five actionable design propositions to enhance the tools that support them. Through these contributions, our work enriches the theoretical understanding of threat hunting and provides practical insights for designing more effective, human-centered cybersecurity tools.

cs.CR↗