A reference from Weave

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

Terms beginning with C

252 terms

  • Code Generation Scaffold

    Code Generation Scaffold is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation Security

    Code Generation Security is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation Shell Command

    Code Generation Shell Command is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation Specification

    Code Generation Specification is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation SQL

    Code Generation SQL is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation Template

    Code Generation Template is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation Test

    Code Generation Test is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation Transformation

    Code Generation Transformation is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation Translation

    Code Generation Translation is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code Generation Validation

    Code Generation Validation is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code ownership

    Code ownership assigns review responsibility for particular files, directories, or system areas to named people or teams.

    Code review

  • Code ownership concentration

    The degree to which changes to a code area are made or reviewed by a small set of contributors.

    Code quality and technical debt

  • Code quality gate

    An automated condition that must pass before a change can advance in a delivery workflow.

    Code quality and technical debt

  • Code representation

    Code representation is a language-model concept about representation and similarity. It names a mechanism, representation, prompting pattern, decoding control, or context behavior that can change how an AI system processes input and produces output.

    LLM fundamentals

  • Code review

    Code review is the examination of a proposed code change by someone other than its author, or by an automated reviewer, before or after integration. It helps identify problems, share context, and assess whether a change fits the surrounding system.

    Code review

  • Code review checklist

    A code review checklist is a repeatable set of questions that helps reviewers examine behavior, tests, security, operations, and maintainability.

    Code review

  • Code review time

    Code review time is the elapsed period associated with reviewing a proposed change. Teams may measure time to first response, time from opening to approval, or time from opening to merge, and those intervals describe different parts of the review process.

    Code review

  • Code Synthesis

    Code Synthesis is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Code to production time

    Code to production 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

  • Code-generation evaluation

    Code-generation evaluation is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.

    Evaluations and benchmarks

  • CodeBLEU score

    CodeBLEU score is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.

    Evaluations and benchmarks

  • CODEOWNERS

    A CODEOWNERS file maps repository paths to people or teams that should be requested for review when matching files change.

    Code review

  • Coding Agent

    Coding Agent is a software-engineering concept describing how an AI coding system, its tools, or human collaborators handle a defined task.

    AI coding and agents

  • Cognitive complexity trend

    The change over time in a codebase’s cognitive complexity measurements.

    Code quality and technical debt

  • Cohen's kappa

    Cohen's kappa is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.

    Evaluations and benchmarks

  • Cohens d

    Cohens d 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

  • Coherence evaluation

    Coherence evaluation is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.

    Evaluations and benchmarks

  • Cohort attrition

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

    Engineering analytics

  • Cohort comparison

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

    Engineering analytics

  • Cohort definition

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

    Engineering analytics

  • Cohort maturation

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

    Engineering analytics

  • Cohort retention

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

    Engineering analytics

  • Cohort survivorship

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

    Engineering analytics

  • Cohort window

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

    Engineering analytics

  • Cold start

    Cold start is the serving concept concerned with cold start during AI inference.

    Inference performance

  • Collaboration effectiveness

    Collaboration effectiveness is a developer productivity concept that helps teams understand collaboration effectiveness in the context of software delivery.

    Developer productivity

  • Combinatorial testing

    Combinatorial testing is a software testing or test-design practice used to gather evidence about a defined risk, behavior, boundary, or operating condition. It makes the question under test explicit, identifies the inputs and observations that matter, and gives a team a repeatable basis for deciding whether the result is acceptable.

    Code quality and technical debt

  • Comment resolution time

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

    Code review

  • Comment-only review

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

    Code review

  • Commit to deploy time

    Commit 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

  • Commitment point

    A commitment point is the explicit boundary at which a work item enters a delivery promise or forecast population. It should be observable and defined separately from earlier ideas or requests.

    Flow and capacity planning

  • Committed use discount

    Committed use discount is a lower effective rate offered for a usage or capacity commitment. It gives teams a way to name, measure, or reason about an economic property of an AI workload without treating raw usage as proof of value.

    Token costs and AI ROI

  • Common cause variation

    Common 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 experimentation

  • Common-mode failure

    Common-mode failure is a reliability concept used to describe a specific condition, control, or decision in the operation of software services.

    Reliability and observability

  • Comparison Group

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

    Engineering analytics

  • Compatibility testing

    Compatibility testing is a software testing or test-design practice used to gather evidence about a defined risk, behavior, boundary, or operating condition. It makes the question under test explicit, identifies the inputs and observations that matter, and gives a team a repeatable basis for deciding whether the result is acceptable.

    Code quality and technical debt

  • Completeness evaluation

    Completeness evaluation is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.

    Evaluations and benchmarks

  • Completeness rate

    Completeness rate measures the present share of an expected data population.

    Engineering analytics

  • Completion predictability

    Completion predictability is a developer productivity concept that helps teams understand completion predictability in the context of software delivery.

    Developer productivity

  • Compliance debt

    Compliance debt is a software maintenance concern describing a condition that can make future changes, verification, operation, or ownership harder. Its practical importance depends on supported behavior, rate of change, and the consequences of delay.

    Code quality and technical debt