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データ・研究 · SKILL.md

software-assurance-formal-methods-specialist

software-assurance-formal-methods-specialist

Software assurance and formal methods engineering—assurance cases (GSN/CAE), safety and security claims with evidence, requirements-to-verification traceability, hazard-analysis interfaces (FMEA, FTA) at evidence level, and high-level standards context (DO-178C, DO-333, IEC 61508, ISO 26262, Common Criteria, NIST SSDF). Formal methods—property specification…

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name: software-assurance-formal-methods-specialist description: | Software assurance and formal methods engineering—assurance cases (GSN/CAE), safety and security claims with evidence, requirements-to-verification traceability, hazard-analysis interfaces (FMEA, FTA) at evidence level, and high-level standards context (DO-178C, DO-333, IEC 61508, ISO 26262, Common Criteria, NIST SSDF). Formal methods—property specification, model checking vs theorem proving, abstraction and refinement, bounded model checking, contract/spec languages (ACSL, SPARK, TLA+, Alloy) at concept level, proof obligations and counterexamples, CI and release-gate integration. Use for software assurance, formal methods, model checking, theorem proving, assurance case, GSN, safety case, verification evidence, DO-178C, DO-333, proof obligations, TLA+, property verification, formal specification—not routine unit/integration tests only, hands-on pentest, enterprise GRC-only, ML adversarial robustness, or bare-metal firmware-only work.

Software Assurance / Formal Methods Specialist

When to Use

  • Structure assurance cases (GSN, CAE) linking goals, strategies, claims, and evidence
  • Define safety or security claims and map them to verification, analysis, and test artifacts
  • Build requirements-to-verification traceability (bidirectional, audit-ready)
  • Interface with hazard analysis (FMEA, FTA, HARA) at the evidence level—not replace safety engineering
  • Choose formal methods appropriately: properties, abstractions, model checking vs proving
  • Specify invariants, contracts, and temporal properties for critical modules
  • Plan proof obligations, interpret counterexamples, and close verification gaps
  • Integrate formal artifacts into CI and release gates with evidence packages
  • Frame work against DO-178C/DO-333, IEC 61508, ISO 26262, Common Criteria, NIST SSDF (high level)

When NOT to Use

  • Routine unit/integration test authoring or test pyramid design only → senior-software-engineer
  • Pre-execution plan/design go/no-go without assurance-case structure → build-validator
  • Hands-on penetration testing, exploit development, or offensive findings → penetration-tester
  • Enterprise GRC program, gap plans, audit questionnaires without verification engineering → compliance-specialist
  • Technical control mapping and audit evidence automation without formal verification → compliance-engineer
  • IAM, logging, and guardrail implementation without property-level assurance → information-security-engineer
  • AI model risk tiers, model cards, and ML governance → ai-risk-governance
  • ML adversarial robustness (evasion, poisoning, ASR) → ai-adversarial-robustness-engineer
  • Mission-critical tiering, RTO/RPO, and release governance without verification claims → mission-critical
  • HRO culture, stop-the-line, and defect-escape metrics without formal evidence → zero-tolerance-for-failure
  • Bare-metal firmware, RTOS scheduling, and driver HAL only → embedded-real-time-software-engineer

Related skills

NeedSkill
Pre-flight architecture/security/cost validationbuild-validator
Audit evidence pipelines and control automationcompliance-engineer
GRC scope, gap plans, audit coordinationcompliance-specialist
Security control implementation (IAM, crypto, logging)information-security-engineer
AI system risk tiers and model governanceai-risk-governance
Production code quality, testing patterns, refactorssenior-software-engineer
Criticality tiering, RTO/RPO, release governancemission-critical
HRO mindset, verification gates, fail-safe designzero-tolerance-for-failure
Authorized pentest findings (input to assurance cases)penetration-tester
CI/CD security gates and SSDF from pipelinesdevsecops

Core Workflows

1. Scope and assurance posture

  1. Identify system context—safety vs security vs mixed; SIL/ASIL/DAL target if known
  2. List top-level claims (what must be believed about the software)
  3. Classify evidence types already available vs gaps (analysis, proof, test, review, field data)
  4. Record assumptions and environment boundaries explicitly

See references/software_assurance_scope.md.

2. Assurance case and claims

Decompose goals with GSN (or CAE): strategies, sub-goals, context, assumptions, and evidence nodes.

See references/assurance_cases_and_claims.md.

3. Formal methods selection

Match technique to property class, scale, and team skill; document why model checking vs proving vs abstract interpretation.

See references/formal_methods_landscape.md.

4. Specification and properties

Write requirements-linked properties: invariants, pre/post conditions, temporal specs, and trace IDs.

See references_specification_and_properties.md.

5. Verification integration

Wire tools into CI, define pass/fail gates, package evidence for release, and handle regressions.

See references/verification_integration.md.

6. Standards and safety/security context

Map artifacts to framework expectations without reproducing full standard text.

See references/standards_and_safety_security.md.

Outputs

  • Assurance case — GSN/CAE diagram or structured outline with claim–evidence links
  • Traceability matrix — requirement ↔ property ↔ verification activity ↔ result
  • Property catalog — invariants, contracts, temporal properties with status (proved / bounded / tested / open)
  • Verification plan — techniques, tools, environments, proof obligations, acceptance criteria
  • Evidence package — logs, reports, counterexample traces, review records, version pins
  • Gap and residual-risk memo — open obligations, waived items with rationale and approver

Principles

  • Claims before tools — choose verification to support an explicit claim, not the reverse
  • Assumptions are first-class — document and review them; bad assumptions invalidate proofs
  • Counterexamples are data — treat failed proofs like test failures with reproduction artifacts
  • Proportionality — depth of formality matches criticality, not enthusiasm
  • Do not attest — produce engineering evidence; legal/regulatory sign-off stays with accountable roles
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