Design predicates¶

A software-integration testing model that classifies inter-unit call relationships and assigns complexity increments used to bound independent integration paths.

Version: v1 · 2026-09-08 · History
Domain-specific #: 4123
Origin domain: software testing
Subdomain: software testing

Core Idea¶

McCabe’s unconditional, conditional, mutually exclusive and iterative call predicates describe control coupling between units; their scores combine only under the method’s feasibility assumptions. Calls between units are typed by their control condition, each predicate contributes a fixed integration complexity and the resulting graph measure guides a set of tests intended to exercise independent call behavior. The abstraction is therefore identified by a declared carrier, a transformation or constraint over that carrier, and an invariant that tells an analyst whether the named structure is genuinely present.

Scope of Application¶

Design predicates belongs to software testing and is useful where the analyst can specify the typed software testing carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets, then evaluate the software units and call graph, predicate types and recognition rules, branch and loop conditions, per-predicate complexity values, combination rule, infeasible combinations, test-path bound and coverage evidence are explicit. The scope is broad within that domain but bounded by the need for the software units and call graph, predicate types and recognition rules, branch and loop conditions, per-predicate complexity values, combination rule, infeasible combinations, test-path bound and coverage evidence are explicit. Descriptive software-testing method only; safety-critical assurance requires governing standards and independent validation.

Clarity¶

The abstraction clarifies a crowded vocabulary by making the software units and call graph, predicate types and recognition rules, branch and loop conditions, per-predicate complexity values, combination rule, infeasible combinations, test-path bound and coverage evidence are explicit the center of the account. A claim should name the carrier, the governing operation or relation, the applicable assumptions, and the recognition test.

Manages Complexity¶

Without the abstraction, an analyst must reason directly over many local details: the carrier roles, admissibility assumptions, competing conventions, derived invariants, boundary cases, and proof or validation obligations specific to Design predicates. Design predicates compresses them into the roles in the structural signature. That compression permits comparison across instances without erasing the variables that determine validity. It also exposes which details may be varied safely and which are constitutive.

Abstract Reasoning¶

Identify the carrier. State what the elements, states, objects, or observations are: the typed software testing carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets. Reject examples whose alleged carrier belongs to a different problem. 2. Lock the constitutive rule. Express the software units and call graph, predicate types and recognition rules, branch and loop conditions, per-predicate complexity values, combination rule, infeasible combinations, test-path bound and coverage evidence are explicit independently of one notation or implementation.

Knowledge Transfer¶

Knowledge transfers strongly among subfields of software testing because they reuse the typed software testing carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets, Calls between units are typed by their control condition, each predicate contributes a fixed integration complexity and the resulting graph measure guides a set of tests intended to exercise independent call behavior., and type the carrier, state every parameter and convention in the definition, test that the software units and call graph, predicate types and recognition rules, branch and loop conditions, per-predicate complexity values, combination rule, infeasible combinations, test-path bound and coverage evidence are explicit, compare the nearest accepted identity, and report counterexamples, uncertainty, and limiting cases.

Relationships to Other Abstractions¶

Current abstraction Design predicates Domain-specific

Parents (1) — more general patterns this builds on

Design predicates is a kind of Classification Prime

The proposed strict upward parent is prime:classification.

Hierarchy path (1) — routes to 1 parentless root

Design predicates → Classification

Neighborhood in Abstraction Space¶

Design predicates sits in a crowded region of the domain-specific corpus (24^th percentile for distinctiveness): several abstractions share nearly its structure, so a description that fits it tends to fit its neighbors too.

Family — Software Modeling & Program Architecture (45 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-09-08