| How should a pattern text remain teachable while retaining a stable reusable shape? | Iba’s practitioner pattern-writing line is the best-known candidate here: start from a recurring problem, forces, a usable solution, illustration, and consequences, then make the sequence readable as a whole. | A form-only template that rewards headings and compressed bullets is the serious default. | The default can be structurally complete yet unusable. Adapt: E.8:4.1, Archetypal Grounding, recognition text, and CC-SG.2/13/17 require a first action, worked material, and readable continuity rather than heading presence alone. | Takashi Iba, How to Write Patterns: A Practical Guide for Creating a Pattern Language on Human Actions (PLoP 2021), supplies practitioner writing guidance, not FPF ontology or evidence that one skeleton fits every pattern. E.8’s extra checks and typed boundaries are FPF-local adaptations. | Reopen if a stronger current pattern-writing comparison shows a lower-effort form that preserves the same recognition, action, grounding, and consequence value. |
| What evidence should distinguish pattern validation from a favorable review or folklore count? | Riehle, Harutyunyan, and Barcomb’s 2025 handbook method is the best-known candidate for the bounded pattern-discovery and validation question because it makes claims, research methods, cases, and evidence limits explicit. | Ad hoc expert approval and the rule of three are the serious defaults. | The defaults hide what was tested and overstate a small positive history. Adapt: E.8 separates a canonical seed from maturity, requires worked grounding and explicit evidence use, and routes quality claims to independent E.21 results; reject a universal research programme for every small pattern. | Riehle, Harutyunyan, and Barcomb, Pattern Discovery and Validation Using Scientific Research Methods (2025), supplies a rigorous validation branch but does not validate E.8. It is neither an admission decision nor a universal minimum case count. | Reopen if stronger current validation practice changes the evidence needed for a maturity claim or demonstrates a cheaper method with equivalent limits and replayability. |
| When does a narrower or domain-specific contribution deserve a separate pattern or framework boundary? | The best-known line for this decision combines action-changing pattern evidence with the 2022 systematic comparison of product-line scoping approaches: compare same-situation use, reusable contribution, family promise, organizational conditions, evidence, and maintenance rather than relying on a label. | Label-only specificity and a full software-product-line process are the serious alternatives. | A label can mint empty specialization, while the full process adds software-specific machinery before value is known. Adapt: E.8:4.1.3 tests the same situation at comparable effort and routes a material family change to E.4.DPF.DA; reject feature ontology and action change as sufficient proof of worth. | Marchezan de Paula et al., Software product line scoping: A systematic literature review (2022), is the scoping synthesis; Riehle et al. (2025) supplies actual-use pressure; Chuprina et al., Towards an Approach to Pattern-based Domain-Specific Requirements Engineering (2024), is bounded proof-of-concept evidence, not a universal grammar. | Reopen if current scoping or pattern-validation evidence changes the action test, the family-boundary variables, or the evidence needed for warranted retention. |
| How much explanation should a prepared or less-prepared reader receive for one use? | Preparation-sensitive assistance for human learning, combined with use-bounded access to a complete account. For AI work, selective loading is a current engineering option whose adequacy must be checked for the actual task. | A short problem–solution pair for every reader, or requiring every reader to consume the complete body. | Adapt: §4.2.1.1 develops missing instructions by following required results back to their supplying operations, exposes the reusable connection in a worked case and consequential variation, and preserves that contribution in a sufficient connected reading. Action-changing conditions stay available before reliance, and successful reconstruction is qualified by its actual inputs. The synthesis is an authoring rule, not a demonstrated universal optimal length. | Tetzlaff et al., 2025 supports preparation-dependent assistance in human instruction, with population and domain limits. Anthropic, 2025 supplies selective-context engineering guidance, not a validation of this rule or a guarantee of lossless compression. Human results are not transferred to AI by analogy alone. | Reopen when a shorter path loses a required relation, a return fails before consequential use, preparation changes, or a tested alternative preserves the same use at lower total burden. |
| How should a title support first selection while retaining a working vocabulary? | Descriptive topic/purpose cues combined with a familiar technical name when the intended audience uses it. | A solution-evoking name alone, or a universal problem-shaped rename. | Adapt: §4.1.5 derives the title from the whole working question and Solution, compares neighbors, and preserves an open first choice and expert finding. A sufficient title is retained. | W3C headings and labels guidance supplies the descriptive cue function. Meszaros and Doble, Evocative Pattern Name, is a historical anchor for conversational vocabulary and unfamiliar-reader interpretation. Neither measures an FPF title effect. | Reopen when actual selection or re-finding loses a useful distinction, or a cheaper cue preserves it. |