research-document RFR-5DD7EE25

Create a shared benchmark and decision threshold: Cross-Project Web Component Framework Architecture Recommendation

RFR-5DD7EE25 — Create a shared benchmark and decision threshold: Cross-Project Web Component Framework Architecture Recommendation

Research opportunity

Create a shared benchmark and decision threshold for the claims or recommendations in “Cross-Project Web Component Framework Architecture Recommendation.”

Background

The originating artifact is accepted by the repository publishing inventory with status “verified.” Its 2. Layer model section provides the immediate evidence boundary.

Evidence trace

  • Origin document: content/projects/design-library/architecture/web-component-framework-architecture-recommendation-v1.md
  • Section: 2. Layer model
  • Specific assumption challenged: The source's treatment in “2. Layer model” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “1. Web platform layer: HTML, ARIA, DOM, forms, CSS custom properties, cascade layers, container queries. 2. Authoring/runtime layer: native HTMLElement , utilities, and Lit for bounded interactive packages. 3. Behavioral primitives: focus management, roving tabindex, overlay positioning, state controllers. 4. Accessib…”
  • 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-ARC-WC-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.