research-document RFR-12B58143

Create a shared benchmark and decision threshold: Web Component Framework Hypothesis Registry

RFR-12B58143 — Create a shared benchmark and decision threshold: Web Component Framework Hypothesis Registry

Research opportunity

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

Background

The originating artifact is accepted by the repository publishing inventory with status “verified.” Its Web Component Framework Hypothesis Registry section provides the immediate evidence boundary.

Evidence trace

  • Origin document: content/projects/design-library/hypothesis-registry/web-component-framework-hypothesis-registry-v1.md
  • Section: Web Component Framework Hypothesis Registry
  • Specific assumption challenged: The source's treatment in “Web Component Framework Hypothesis Registry” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “ID Status Confidence after Architectural consequence --- --- --- --- HY-WC-001 Supported High Use native Web Components as one cross-project boundary, not the only reuse boundary. HY-WC-002 Partially supported Medium Lit is the preferred authoring default for bounded interactive components, not for every package. HY-W…”
  • 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-HYR-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.