Find a term
Understand what engineering metrics measure, how teams collect them, and what the numbers can tell you about the work behind a release.
Search results
191 termsData lineage
Data lineage traces a result through sources, joins, transformations, and presentation.
Engineering analyticsData observability
Data observability monitors freshness, volume, schema, distribution, and quality behavior.
Engineering analyticsData timeliness
Data timeliness measures whether data arrives in time for its decision.
Engineering analyticsData validity
Data validity checks permitted structure, type, range, format, and rules.
Engineering analyticsData warehouse
Data warehouse combines operational records for historical analysis.
Engineering analyticsDeduplication
Deduplication handles multiple records that represent one event or entity.
Engineering analyticsDefinition drift
Definition drift is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsDelayed data
Delayed data is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsDenominator
Denominator defines the reference population for a rate or ratio.
Engineering analyticsDenominator stability
Denominator stability is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsDiagnostic metric
Diagnostic metric helps explain why a headline outcome changed.
Engineering analyticsDrift detection
Drift detection watches for changes in a signal's distribution or meaning.
Engineering analyticsDuplicate events
Duplicate events is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsDuplicate rate
Duplicate rate measures records repeated under identity and timing rules.
Engineering analyticsEngineering analytics
Engineering analytics is the practice of using data about software development to understand how work moves, what teams deliver, and where quality or process problems arise. It combines measurements with the context needed to make engineering decisions.
Engineering analyticsEngineering benchmark
Engineering benchmark is an analytical concept for using reference values to understand engineering performance, variation, or capability.
Engineering analyticsEngineering change classification
Engineering change classification is the practice of assigning software changes to defined work categories such as feature, defect, maintenance, incident recovery, security, or enablement. It helps teams interpret flow, quality, capacity, and outcomes in the context of why the change was made.
Engineering analyticsEngineering metrics
Engineering metrics are defined measurements used to understand software delivery, quality, reliability, and developer experience. A useful metric has a clear question, a stable definition, and enough context to support a decision.
Engineering analyticsEvent instrumentation
Event instrumentation emits structured records for workflow transitions.
Engineering analyticsEvent name
Event name identifies the action or state transition in a record.
Engineering analyticsEvent ordering
Event ordering is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsEvent property
Event property adds named context used for filtering and diagnosis.
Engineering analyticsEvent reconciliation
Event reconciliation how to reconcile event streams used by engineering metrics.
Engineering analyticsEvent schema
Event schema defines fields, types, meanings, units, and version rules.
Engineering analyticsEvent versioning
Event versioning manages changes to event meaning or shape safely.
Engineering analyticsEvent-based metric
Event-based metric derives measures from timestamped actions or state changes.
Engineering analyticsExporter
Exporter sends collected observations to a destination.
Engineering analyticsExternal benchmark
External benchmark is an analytical concept for using reference values to understand engineering performance, variation, or capability.
Engineering analyticsFreshness SLA
Freshness SLA defines acceptable delay before a data asset is stale.
Engineering analyticsGoodhart's law
Goodhart's law is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsHypothesis multiplicity
Hypothesis multiplicity is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsIdentity resolution
Identity resolution matches the same person, team, service, or item across sources.
Engineering analyticsIncomplete data
Incomplete data is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsIngestion
Ingestion brings source records into processing or storage.
Engineering analyticsInput metric
Input metric describes a controllable activity or condition.
Engineering analyticsInstrumentation
Instrumentation adds hooks or measurements so behavior can be observed.
Engineering analyticsInstrumentation coverage
Instrumentation coverage measures the observed share of relevant workflows or entities.
Engineering analyticsInstrumentation drift
Instrumentation drift is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsInstrumentation gap
Instrumentation gap marks an unobserved or unreliable workflow measurement point.
Engineering analyticsInternal benchmark
Internal benchmark is an analytical concept for using reference values to understand engineering performance, variation, or capability.
Engineering analyticsLate-arriving data
Late-arriving data describes records delivered after their event window.
Engineering analyticsManual instrumentation
Manual instrumentation records domain-specific events explicitly.
Engineering analyticsMaturity benchmark
Maturity benchmark is an analytical concept for using reference values to understand engineering performance, variation, or capability.
Engineering analyticsMeasurement bias
Measurement bias describes systematic distortion in what a metric represents.
Engineering analyticsMeasurement context
Measurement context what context makes an engineering measure interpretable.
Engineering analyticsMeasurement framework
Measurement framework governs how engineering measures are chosen and interpreted.
Engineering analyticsMeasurement interval
Measurement interval sets the time span or cadence of collection and comparison.
Engineering analyticsMeasurement plan
Measurement plan records the decision, population, events, calculations, and owners.
Engineering analyticsMetric Anomaly
Metric Anomaly is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.
Engineering analyticsMetric Baseline
Metric Baseline is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.
Engineering analytics