SENAR Reference: Complete Glossary

Alphabetical listing of all SENAR terms. Core terms are defined normatively in SENAR Standard Section 3.

TermDefinition
AI AgentSoftware system powered by LLM that generates engineering artifacts under human direction
AI Model ProviderExternal service providing AI Agent capabilities (e.g., Anthropic, OpenAI, Google); de facto supplier (Standard 3.25)
AI Model VersionSpecific version/generation of an AI model; metric baselines are version-dependent (Standard 3.26)
CheckpointContext preservation action during a Session
ContextInformation provided to AI Agent: goal, AC, constraints, knowledge, traceability
Context ArchitectResponsibility: designs requirements as structured AI input, manages traceability
Cost per TaskMetric: total cost / tasks done, segmented by complexity
Cost PredictabilityMetric: actual cost / planned cost for an Increment
Cycle TimeTime from Task start to completion (started_at → completed_at)
Dead EndDocumented failed approach with reason for abandonment
Defect Escape RateMetric: post_done_defects / done × 100% — defect tasks linked to a completed parent, over Tasks completed (Standard 9.1)
Delivery ReviewCeremony: demonstrate software to stakeholders
ExplorationTime-bounded investigation without full Task formality
FederationCoordination mechanism for multiple Supervisor+AI Pairs
Federation SyncCeremony: coordinate multiple Pairs on dependencies
First-Pass Success RateMetric: % Tasks completed correctly in one cycle
Flow ManagerResponsibility: session rhythm, cost tracking, flow metrics
Gate BypassDocumented exception to proceed past a Quality Gate. Admission of a gate’s declared effect without a positive verdict is a bypass whether or not it was intended as one, and is recorded as one (Standard 8.6(h), 8.6(j))
Gate PropertiesThe five properties a check has to have to be a Quality Gate: declared prevented effect, preventive placement, correspondence of the verdict to state, binding to a measured digest, fail-closed. Obligation levels scale by configuration (Standard 8.6)
IncrementScope-bounded batch of work with objectives and budget
Increment PlanningCeremony: define objectives, tasks, budget, risks
Increment RetrospectiveCeremony: quantitative review of Increment metrics
Knowledge Capture RateMetric: knowledge entries / tasks done
Knowledge EngineerResponsibility: capture, curate, maintain knowledge base
Knowledge EntryDocumented decision, pattern, gotcha, or dead end
Lead TimeTime from Task creation to completion
Manual Intervention RateMetric: % Tasks with a Gate Bypass recorded under Standard 8.6(j). Derived from records, not from self-report (Standard 9.2)
Maturity LevelOrganization’s SENAR adoption depth (L1–L5)
Quality at InputPrinciple: defects in requirements cascade to all downstream artifacts; quality is built at input, not checked at output
Quality GateEnforcement point that prevents a declared effect until its verdict is positive. Meeting the criteria of 8.1–8.5 is not sufficient: a check lacking a property required at the applicable configuration is not a Quality Gate (Standard 8.6)
Prevented effectThe specific change to the system, or to the record of work, that does not occur while a gate’s verdict is negative. Declared per gate in Standard 8.1–8.5; required by 8.6(a)
Quality SweepCeremony: periodic comprehensive codebase/KB audit
RequirementDocumented, verifiable statement of need at BR, SR, or TR level (Standard 3.17)
Requirement — Business (BR)Stakeholder-level need in business terms; source of all downstream requirements (Standard 3.18)
Requirement — System (SR)System-level capability derived from BR; what the system must do (Standard 3.19)
Requirement — Task (TR)Implementation-level requirement = Task goal + acceptance criteria (Standard 3.20)
Requirement HierarchyDecomposition chain: BR → SR → TR; depth scales by complexity (Standard 3.21)
Requirement LibraryManaged repository of verified, reusable requirements stored in Knowledge Base (Team+)
Requirement PatternReusable AC template for common task types (CRUD, migration, UI, integration)
SessionTime-bounded period of supervised AI work
Session EndCeremony: capture metrics, write handoff, record knowledge
Session StartCeremony: load context, select tasks, verify environment
StoryIntermediate grouping of Tasks as stakeholder-visible deliverable
SupervisorHuman who directs AI agents, verifies output, enforces gates. Production of artifacts is AI-directed; direct modification by the Supervisor is a recorded Gate Bypass (Standard 3.2, 4.1)
Supervisor+AI PairFundamental production unit: one Supervisor + AI Agent(s)
TaskAtomic unit of tracked work with goal and acceptance criteria
ThroughputMetric: tasks completed per Session
TraceabilityBidirectional linking: every TR → BR upward; every BR → TR(s) downward (Standard 3.24)
Value StreamEnd-to-end flow from client request to delivered software
Verification EngineerResponsibility: audits AI output for correctness and security
Work TypeFunctional category of a Task (dev, arch, QA, docs)
WSJFPrioritization: Cost of Delay / Job Size (from SAFe)