Computational Systems Analysis (CSA): Analyze system performance, security, user interaction, and overall efficiency through observation and data-driven evaluation.
Rule: Always measure one level deeper.
Performance Analysis: System Model + Data Collection → Analytics.
Performance Optimization follows a process where a system model is created to define the architecture and components, data is collected through monitoring and profiling tools, and analytics are applied to assess the data, identify bottlenecks, and guide improvements to enhance overall system efficiency.
Performance tuning refers to the process of optimizing a system or application to achieve better efficiency, responsiveness, and resource utilization.
Observability Models refer to the methodologies and practices used to monitor and gain insights into complex systems, such as distributed applications and infrastructure. These models typically consist of key components and principles.
Service Level Agreements (SLAs) are formal contracts between service providers and clients that define the expected level of service, including performance metrics, uptime, response times, and other key service criteria.
HCI Analytics applies computational, statistical, and machine learning techniques to model, measure, and optimize human-computer interactions by analyzing user behavior, cognitive load, interaction patterns, and system responsiveness through multimodal data sources such as eye tracking, keystroke dynamics, and physiological signals.
CSBB: Means Computational System Building Block Analysis.
QA:
x language? Go to the section on that language—there must be an analysis section there; if not, add one.pmap -x <pid> | grep 'r-x'