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research-document RFR-DB4C682E

Create a shared benchmark and decision threshold: Web Component Framework ADR Set

Identifier
RFR-DB4C682E
Research Area
General Research
Status
Open
Version
0.1
Priority
medium
Updated
2026-07-22
Source
research/frontier/records/RFR-DB4C682E.md

RFR-DB4C682E — Create a shared benchmark and decision threshold: Web Component Framework ADR Set

Research opportunity

Create a shared benchmark and decision threshold for the claims or recommendations in “Web Component Framework ADR Set.”

Background

The originating artifact is accepted by the repository publishing inventory with status “verified.” Its ADR-WC-001 section provides the immediate evidence boundary.

Evidence trace

  • Origin document: content/projects/design-library/decision-record/web-component-framework-adrs-v1.md
  • Section: ADR-WC-001
  • Specific assumption challenged: The source's treatment in “ADR-WC-001” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “- Decision class: Foundation - Problem: What is the smallest stable interoperability boundary? - Selected decision: Use native Web Components as one shared interoperability boundary for selected categories, while keeping native HTML recipes and CSS-first patterns as first-class citizens. - Why: Cross-framework deliver…”
  • Reason this opportunity exists: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.

Unknowns

  • How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.

Dependencies

Suggested REP and methodology

  • Suggested REP: REP-ADR-WC-INDEX-0001-BENCHMARK
  • Methodology: Curate representative cases, blind ground truth where possible, define baselines and uncertainty-aware metrics, and run reproducible benchmark evaluations.
  • Expected outputs: Versioned benchmark, baseline implementations, scoring harness, datasheet, and adoption decision rule.
  • Success criteria: Independent teams can reproduce scores and the benchmark discriminates meaningful quality differences without rewarding proxy gaming.
  • Recommended agent: research-engineering-agent
  • Estimated effort: Medium
  • Expected knowledge gained: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.

Evaluation

Dimension Score (1–5)
Knowledge gain 4
Potential impact 4
Cross-project reuse 5
Scientific importance 5
Dependency cost 5
Implementation difficulty 3
Frontier score 392

Confidence in this opportunity: moderate. Status: Open.