Article

From Feature Variability to Agency Variability: A Software Product-Line Engineering Framework for Governed Agentic AI Systems

2026-05-12

Abstract excerpt

Agentic artificial intelligence systems increasingly combine language models, memory, retrieval, tool use, orchestration, and human oversight. For software engineering, this creates a variability problem that feature-oriented product line methods only partly address: organizations are configuring not only functions or components, but permitted patterns of agency. Unlike MAS-SPL, which mainly structures families of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ffd5a133-a380-51bc-8f4a-8ed8464442d4
DOI: 10.20944/preprints202605.0741.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

From Feature Variability to Agency Variability: A Software Product-Line Engineering Framework for Governed Agentic AI SystemsDOI 10.20944/preprints202605.0741.v1Read

Agentic AI: A Review, Applications, and Open Research ChallengesSemantic proximity Read

Trustworthy Agentic AI: A Rapid, PRISMA-Informed Evidence Review of Safety, Explainability, Alignment, and Human Oversight in Autonomous AI SystemsSemantic proximity Read

Governance Models for Agentic Software DeliverySemantic proximity Read

A Concern-Oriented Governance Approach for Securing Agentic AISemantic proximity Read

SORT-AI: Domain Architecture and Structural Diagnostics for Advanced AI SystemsSemantic proximity Read

From Model Assurance to Causal Answerability: A Multi-Timescale Information Architecture for Governed Agentic AISemantic proximity Read

Coverage and Complementarity of Three Agentic AI Risk Taxonomies Across 131 Real World IncidentsSemantic proximity Read

From Data Quality to Quality of Agentic Data Use: A Conceptual Framework for Agentic Data EngineeringSemantic proximity Read

From Prompt to Production: A Case Study of Human-AI Collaborative Software Development Using Claude Code Multi-Agent OrchestrationSemantic proximity Read

The World Is a Hypothesis: Epistemic Control for Executable World-Model Agents in Novel Interactive EnvironmentsSemantic proximity Read

Autonomous Scientific Discovery Through Hierarchical AI Scientist SystemsSemantic proximity Read

SAMF: SAWANT (Structured Agentic Workflow for Alignment, Validation, and Negotiated Testing) for Reliable, Safe, and Verifiable LLM PromptingSemantic proximity Read