Requirements to verification traceability
Every requirement is linked to the analysis, inspection, demonstration or test that will verify it, so a readiness claim can be traced to evidence rather than to confidence.
GCRI · Labs
Systems engineering for testbeds
Systems engineering gives testbeds and innovation programmes their structure: requirements traced to tests, interfaces managed, readiness assessed at gates. It is the discipline behind technology readiness levels, and it keeps a prototype’s evidence tied to the system and the environment in which it will be used.
01Register
Systems engineering for testbeds on the record.
Method recordSTEM method
- MethodSystems engineering
- Applied inLabs
- Data4 inputs
- Checks3 validation steps
- Canonical pageSTEM Commons
02Application
What systems engineering does here.
Systems engineering is an interdisciplinary approach to designing and managing complex systems over their life cycle. It focuses on requirements, interfaces and interactions so that the whole performs as intended. In research and evidence, methods and modelling and innovation, systems engineering exposes interfaces where failures propagate between components and organisations. It supports designing interconnected infrastructure with explicit dependency management. The canonical description is on the STEM Commons.
Stage-gate readiness reviews
Independent panels review evidence at each gate against stated technology and integration readiness criteria, and record what must be shown before the next stage is funded.
Interface and integration testing
Hardware, software and organisational interfaces are tested together under the conditions of the intended operating environment, because integration problems rarely appear in component tests.
03Monitor
Network analysis.
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Network analysis
Labs · Systems engineering for testbeds · Run R-6631
Single point of failureGCRI · Labs
Dependency graph
nodes: assets · edges: dependencies
Most central nodes
| N3 | 0.42 | 4 | Critical |
| N4 | 0.13 | 5 | Normal |
| N5 | 0.31 | 8 | Normal |
| N6 | 0.13 | 4 | Normal |
Cascade size under removal
04Data
What the method consumes.
Datasets and records used by systems engineering on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Data | Role | Label |
|---|---|---|
| Requirements databases | Tracing claims to tests | DECLARED |
| Test and inspection records | Verification evidence | OBSERVED |
| Configuration management records | What exactly was tested | Published statistics |
| Readiness assessment reports | Evidence for gate decisions | ESTIMATED |
05Methods and evidence
How systems engineering for testbeds is modelled, measured and tested.
The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.
Model, equations and assumptions
The model structure used for systems engineering for testbeds, the assumptions it makes and how each is tested.
Risk of element i
Ri = f(Hi, Ei, Vi, Ci)hazard, exposure, vulnerability and coping capacityExpected annual loss
EAL = ∑k pk · Lkover events k with annual probability pkCoupled systems
xt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error| Assumption | Why it is made | How it is tested |
|---|---|---|
| Hazard and exposure are independent within an event | Keeps the loss integral tractable | Compare with a copula fit on joint records |
| Couplings are linear near the operating point | Lets shocks propagate through A | Perturb beyond the linear range and compare |
| Vulnerability curves transfer between places | Local curves are rarely available | Validate against observed losses where they exist |
- Inputs
- versioned datasets with provenance
- Outputs
- distributions, never single numbers
- Code
- released with the model card and tests
- Reproduction
- same data, code, environment and seed
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
06Validation
How results are checked.
Each requirement is traced to verification evidence from analysis, inspection, demonstration or test. Independent reviews check completeness at life cycle gates.
| Check | How it is done |
|---|---|
| Traceability audit | A sample of requirements is followed to verification evidence and back |
| Independent gate review | Reviewers outside the project team assess the readiness evidence |
| Configuration control | Every result is tied to a recorded version of hardware, software and procedure |
Emergent behaviour in open or socio-technical systems may not be captured by requirements. Rigid processes can slow adaptation to change.
07Process
How the process runs.
Process
Systems engineering for testbeds: Cascade across systems
An initial hazard can trigger later risks and events; this illustration draws one cascade across systems such as energy, water, ICT, health and transport.
01 Hazard
- 01Initiating hazardDataset · Principal investigatorCascading risk is the risk that hazard events trigger later risks and events, through chains of interrelated hazards or impacts.
02 First-order systems
- 02Example system: energyModel · System operatorAn example of a system a hazard can hit first. What depends on it is set by a dependency survey.
- 03Example system: waterModel · System operatorA second example of a system a hazard can hit first. Its links to other systems are shown as examples only.
03 Second-order systems
- 04Example system: ICTModel · System operatorAn example of a system that may depend on others, for example on backup power. Survey data set the real dependencies.
- 05Example system: health servicesModel · System operatorAn example of a system that may depend on water, power and data. Survey data set the real dependencies.
- 06Example system: transportModel · System operatorAn example of a system that may depend on ICT, fuel and logistics. Survey data set the real dependencies.
04 Limiting the cascade
- 07Buffers and redundancyStep · Principal investigatorBuffers, redundancy and restoration can limit how far an impact spreads. The OECD report moves from single assets to system resilience.
- 08Restoration prioritiesDecision · Principal investigatorThe responsible party sets which services are restored first, under its own rules.
Outline of an external standard or method, from its public sources. It describes what the framework says, not a record of any run. It does not show that Nexus or any partner performs, certifies or approves a step. A gate is a step of the method, never a Nexus approval. The dependencies are examples. A dependency survey for the place sets them.
08Connections
Topics that rely on this method.
09Stewardship
Who maintains the method.
Systems Science and Modelling stewards systems engineering for the Consortium and reviews how it is applied across platforms.
10Connected
Where this page leads across the Consortium.
11Questions
Questions and answers.
What are the limits of systems engineering in this field?
Emergent behaviour in open or socio-technical systems may not be captured by requirements. Rigid processes can slow adaptation to change.
How are results checked?
Each requirement is traced to verification evidence from analysis, inspection, demonstration or test. Independent reviews check completeness at life cycle gates.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
The canonical method page lists every platform that applies it.
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