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CITATION.cff
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47 lines (39 loc) · 1.65 KB
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# ============================================================
# CITATION.cff (How to cite this project)
# ============================================================
# REQ.UNIVERSAL: Professional open projects SHOULD include CITATION.cff.
# WHY: Support correct citation and attribution.
# ALT: Internal or private repositories may omit citation metadata.
# CUSTOM: Update author, repository, license, and keyword fields as needed.
# USAGE: See https://citation-file-format.github.io/ for details.
cff-version: "1.2.0"
type: software
title: "Adaptive Sensor Testing: A Worked Example for Agent-Assisted Test Generation"
date-released: "2026-04-04"
authors:
- family-names: Case
given-names: Denise M.
orcid: "https://orcid.org/0000-0001-6165-7389"
affiliation: "Northwest Missouri State University, USA"
repository-code: "https://github.com/adaptive-interfaces/adaptive-sensor-testing"
url: "https://github.com/adaptive-interfaces/adaptive-sensor-testing"
license: MIT
abstract: |
A complete worked example demonstrating how to structure agent context
for domain-specific engineering work.
Includes a simulated PTAT temperature-frequency sensor data package,
partial test suite, ATD tool registry, AO team context, and domain context file.
Demonstrates agent test generation and anomaly detection
using all three adaptive-interfaces priors (ACS, ATD, AO)
plus a domain context document.
keywords:
- agent engineering
- sensor testing
- test generation
- anomaly detection
- worked example
- PTAT
- domain context
- AI-assisted development
- skill specification
message: "If using this project, please cite it as described in this file."