A reference from Weave

Engineering & AI glossary

Understand the metrics, models, and methods behind modern engineering. Clear definitions, practical examples, and a closer look at what the numbers actually mean.

All terms

2,008 terms

  • Measurement interval

    Measurement interval sets the time span or cadence of collection and comparison.

    Engineering analytics

  • Measurement invariance

    Measurement invariance 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

  • Measurement plan

    Measurement plan records the decision, population, events, calculations, and owners.

    Engineering analytics

  • Mechanistic interpretability

    Mechanistic interpretability is a language-model concept about training behavior and measurement. It names a mechanism, representation, training practice, or operational behavior that can change how an AI system processes input and produces output.

    LLM fundamentals

  • Mediation analysis

    Mediation 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 experimentation

  • Meeting hygiene

    Meeting hygiene is a way to organize, support, or evaluate software work so that teams can make useful progress with less avoidable friction. It is most valuable when connected to a concrete outcome and the local conditions of the team using it.

    Developer productivity

  • Meeting load

    Meeting load is a developer productivity concept that helps teams understand meeting load in the context of software delivery.

    Developer productivity

  • Memory bandwidth

    Memory bandwidth is the serving concept concerned with memory bandwidth during AI inference.

    Inference performance

  • Memory bound inference

    Memory bound inference is the serving concept concerned with memory bound inference during AI inference.

    Inference performance

  • Memory pressure

    Memory pressure is a reliability concept used to describe a specific condition, control, or decision in the operation of software services.

    Reliability and observability

  • Mentoring

    Mentoring is a way to organize, support, or evaluate software work so that teams can make useful progress with less avoidable friction. It is most valuable when connected to a concrete outcome and the local conditions of the team using it.

    Developer productivity

  • Mentoring contribution

    Mentoring contribution is a developer productivity concept that helps teams understand mentoring contribution in the context of software delivery.

    Developer productivity

  • Merge commit

    Merge commit is a practical concept in a pull-request workflow that shapes how people examine, discuss, own, or integrate a proposed change.

    Code review

  • Merge conflict

    Merge conflict is a practical concept in a pull-request workflow that shapes how people examine, discuss, own, or integrate a proposed change.

    Code review

  • Merge queue

    Merge queue is a practical concept in a pull-request workflow that shapes how people examine, discuss, own, or integrate a proposed change.

    Code review

  • Merge readiness

    Merge readiness is a practical concept in a pull-request workflow that shapes how people examine, discuss, own, or integrate a proposed change.

    Code review

  • Merge to deploy time

    Merge to deploy time is a software delivery concept used to describe a specific event, interval, control, or operating condition in the path from source change to production behavior. A useful definition names the boundary, unit, and decision the measure supports.

    DORA and DevOps

  • Metadata normalization

    Metadata normalization is a model-routing or gateway concept used to manage interface consistency for AI requests. It describes a distinct decision, control, interface, or observation point between an application and one or more model providers.

    Model routing and gateways

  • Method length

    The amount of source text or statements contained in a method or function.

    Code quality and technical debt

  • Metric Anomaly

    Metric Anomaly is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Baseline

    Metric Baseline is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Comparison

    Metric Comparison is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Context

    Metric Context is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric contract

    Metric contract is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric definition

    Metric definition 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

  • Metric Distribution

    Metric Distribution is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric drift

    Metric drift describes changed metric behavior or interpretation after process or data change.

    Engineering analytics

  • Metric gaming

    Metric gaming is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.

    Engineering analytics

  • Metric Granularity

    Metric Granularity is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric histogram

    Metric histogram is a distribution representation that records observations in buckets or equivalent aggregates.

    Reliability and observability

  • Metric interpretation

    Metric interpretation how to interpret an engineering metric without overclaiming.

    Engineering analytics

  • Metric layer

    Metric layer centralizes formulas, dimensions, filters, and metadata.

    Engineering analytics

  • Metric mean

    Metric mean is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Median

    Metric Median is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric missingness

    Metric missingness is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.

    Engineering analytics

  • Metric Normalization

    Metric Normalization is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric ownership

    Metric ownership who is accountable for an engineering metric.

    Engineering analytics

  • Metric Percentile

    Metric Percentile is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Rate

    Metric Rate is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Ratio

    Metric Ratio is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric review

    Metric review examines a measure's definition, quality, usefulness, and effects over time.

    Engineering analytics

  • Metric rolling average

    Metric rolling average is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Seasonality

    Metric Seasonality is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Segmentation

    Metric Segmentation is an analytical concept for separating engineering observations into populations whose differences may matter to a decision.

    Engineering analytics

  • Metric Sensitivity

    Metric Sensitivity is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric signal

    Metric signal is a numeric observation recorded over time, often aggregated by service, route, region, or status.

    Reliability and observability

  • Metric specification

    Metric specification acts as a precise contract for a calculation.

    Engineering analytics

  • Metric stability

    Metric stability 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

  • Metric taxonomy

    Metric taxonomy organizes measures by purpose and decision level.

    Engineering analytics

  • Metric tree

    Metric tree links a high-level outcome to supporting drivers.

    Engineering analytics