A reference from Weave

Find a term

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 Q

17 terms

  • Quality evaluation

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

    Evaluations and benchmarks

  • Quality gate

    Quality gate is a release engineering and DevOps concept for controlling how software changes are prepared, introduced, or understood.

    DORA and DevOps

  • Quality profile

    A named collection of analysis rules and settings applied to a codebase or language.

    Code quality and technical debt

  • Quality-adjusted AI cost

    Quality-adjusted AI cost is effective expense after accounting for quality or acceptance. 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

  • Quantization

    Quantization represents model values with lower numerical precision than the original model. It can reduce memory requirements and sometimes improve serving efficiency, with possible effects on output quality and supported operations.

    Inference performance

  • Quantization aware serving

    Quantization aware serving is the serving concept concerned with quantization aware serving during AI inference.

    Inference performance

  • Quartile

    Quartile 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

  • Quasi experiment

    Quasi experiment 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

  • Queue age

    Queue age measures how long an item has waited for the next processing opportunity. It is distinct from queue depth, which counts how many items are waiting at a snapshot.

    Flow and capacity planning

  • Queue backpressure

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

    Reliability and observability

  • Queue capacity

    Queue capacity is the allowed or practical amount of waiting work for a defined stage. It may be expressed as a WIP limit, a service slot, or an operating range.

    Flow and capacity planning

  • Queue depth

    Queue depth is the count of items waiting for the same processing step, capacity slot, approval, or dependency at a particular time. It is a snapshot of accumulation, not a measure of how long items have waited.

    Flow and capacity planning

  • Queue drain

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

    Reliability and observability

  • Queue latency

    Queue latency is the serving concept concerned with queue latency during AI inference.

    Inference performance

  • Queue stability

    Queue stability describes the pattern of queue depth and age over time. A stable queue may still be undesirable if it is permanently large, while an unstable queue signals changing arrival, service capacity, batching, or policy.

    Flow and capacity planning

  • Queue time

    Queue time is the elapsed period when work is ready to move but is waiting for a person, system, approval, capacity slot, or dependency. It is a component of total cycle time and often reveals hidden delivery constraints.

    Flow and capacity planning

  • Quorum

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

    Reliability and observability