Runederived

Runederived is a term used in software engineering and systems research to refer to data, results, or artifacts produced by processing the runtime execution of a system or program run. It covers metrics, traces, and datasets that are derived from observed executions rather than from static sources. The word combines run and derived.

Its use is not standardized; practitioners apply the concept across domains with varying definitions and scopes. In practice, runederived data supports performance tuning, reliability analysis, and behavioral modeling by transforming raw runtime signals into higher-level indicators.

Common methods to produce runederived data include log and trace analysis, sampling-based instrumentation, dynamic tracing, and the aggregation of performance counters across runs. Derived metrics may include latency distributions, tail latency, error rates, resource utilization, and cross-component correlations.

Applications include capacity planning, anomaly detection, regression testing, and feature impact assessment. For example, teams may run a service under load, collect traces, and compute a runederived latency heatmap to locate bottlenecks or regressions between versions.

The term is emergent and used inconsistently, and there is no universally accepted formal definition. See also observability, telemetry, runtime analysis.