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Read engineering data with more confidence. Explore sampling, distributions, causal inference, and experiments that distinguish a real improvement from ordinary variation.
Terms beginning with S
13 termsSample size
Sample size is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationSeasonality
Seasonality is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationSensitivity analysis
Sensitivity analysis is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationService template
A service template is a reusable starting point for creating a software service and its supporting configuration. It may include repository structure, build and deployment workflows, observability, security controls, documentation, and defaults that teams can adapt to their context.
Measurement and experimentationSimpson's paradox
Simpson's paradox is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationSkewness
Skewness is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationSoftware factory improvement experiment
A software factory improvement experiment is a time-bounded change to a software delivery system that tests whether a specific intervention improves a defined outcome. It uses a baseline, a stated hypothesis, comparable measures, and a review of the evidence before the change is adopted more broadly.
Measurement and experimentationSoftware factory metrics
Software factory metrics are a defined set of measurements used to understand how an organization's software delivery system performs. They cover the movement, quality, stability, cost, and experience of work rather than reducing the factory to one activity count.
Measurement and experimentationSpecial cause variation
Special cause variation is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationStandard error
Standard error is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationStationarity
Stationarity is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationStatistical process control
Statistical process control is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentationSUTVA
SUTVA is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.
Measurement and experimentation