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Journal Article Open Access Software Engineering

DevOps Adoption in Small and Medium Enterprises: Tailoring Practices, Toolchains, and Organizational Models for Resource-Constrained Engineering Teams

The DevOps literature is disproportionately dominated by case evidence from large technology companies — Google, Netflix, Amazon — whose organizational scale, engineering budgets, and talent pools are unrepresentative of the vast majority of software-producing organizations globally. This paper redresses this imbalance through a focused empirical study of DevOps adoption in small and medium enterprises (SMEs), defined as organizations with fewer than 250 employees. We conducted a longitudinal study across 19 SMEs over 24 months, combining quarterly interviews, pipeline telemetry analysis, and a dedicated SME DevOps survey instrument (n=488 respondents from 141 SMEs). Our findings reveal that SMEs face a distinct set of adoption challenges: role conflation (developers as operators as security engineers), toolchain cost sensitivity, absence of dedicated platform teams, and regulatory naivety. We develop the SME DevOps Adaptation Framework (SDAF), which tailors the DORA research model`s four key metrics and associated practices to SME constraints, proposing lightweight toolchain stacks, role-sharing governance models, and incremental adoption roadmaps. SMEs that adopted SDAF practices over 12 months achieved deployment frequency improvements of 340% and MTTR reductions of 52% from baseline, demonstrating that DevOps value is highly accessible to smaller organizations when appropriately adapted.

Obinna Ikechukwu, Helena Svensson, Ryota Hayashi, Lucia Barbosa· Apr 2019· 287 citations
Journal Article Open Access Augmented and Virtual Reality

Reducing Cybersickness in Virtual Reality Through Adaptive Field-of-View Restriction, Frame Rate Stabilization, and Predictive Head Motion Compensation

Cybersickness -- the constellation of nausea, disorientation, and discomfort experienced by a significant proportion of users during VR immersion -- remains the primary barrier to widespread consumer VR adoption, with prevalence estimates ranging from 20 to 80 percent depending on content type, session duration, and individual susceptibility. This paper presents a comprehensive engineering study of cybersickness mitigation through rendering pipeline interventions, evaluating three techniques -- adaptive field-of-view (FOV) restriction, frame rate stabilization through Asynchronous Spacewarp (ASW) and ATW mechanisms, and predictive head motion compensation using IMU-driven pose prediction -- individually and in combination. A controlled user study (n=168 participants) employs the Simulator Sickness Questionnaire (SSQ) and physiological measures (galvanic skin response, heart rate variability) under three VR content categories: locomotion-heavy, rotation-heavy, and stationary content. Combined FOV restriction and predictive motion compensation reduces SSQ total severity scores by 51 percent for locomotion-heavy content and 43 percent for rotation-heavy content, with no statistically significant reduction in presence scores. Frame rate stabilization contributes most significantly for users with high flicker sensitivity (SSQ reduction of 34 percent in the high-sensitivity subgroup). We introduce the Cybersickness Mitigation Effectiveness Index (CMEI) and provide an adaptive rendering pipeline reference architecture for VR headset manufacturers and game engine developers.

Chiamaka Eze, Erik Magnusson, Akira Nakamura, Sara Rodrigues· Apr 2019· 356 citations