automated-cps-testing

---
name: automated-cps-testing
description: "Automated CPS Testing Framework - Automated continuous testing framework combining SIL simulation, HIL simulation, and actual robotic platform testing... Activation: CPS testing, cyber-physical systems, robotic testing."
version: v1.0.0
last_updated: 2026-04-14
source: arXiv:2604.11708v1
---

# Automated CPS Testing Framework

## Overview

**Source Paper:** [ACT: Automated CPS Testing for Open-Source Robotic Platforms](https://arxiv.org/abs/2604.11708v1)  
**Authors:** Aditya A. Krishnan, Donghoon Kim, Hokeun Kim  
**Published:** 2026-04-13 | **Category:** cs.SE

## Description

Automated continuous testing framework combining SIL simulation, HIL simulation, and actual robotic platform testing

## Core Concepts

- software-in-the-loop
- hardware-in-the-loop
- continuous integration
- robotic platform testing
- open-source CPS

## Activation Keywords

- CPS testing
- cyber-physical systems
- robotic testing
- continuous testing
- SIL/HIL simulation
- ROS testing
- 自动化CPS测试

## Methodology

### Problem Statement

Open-source software for cyber-physical systems (CPS) often lacks robust testing involving robotic platforms, resulting in critical errors that remain undetected.

### Key Contributions

1. **Software-In-The-Loop**: Implements software-in-the-loop to achieve systematic optimization
2. **Hardware-In-The-Loop**: Leverages hardware-in-the-loop for efficient execution
3. **Continuous Integration**: Utilizes continuous integration for enhanced performance

## Implementation Workflow

### Step 1: Problem Formulation
- Define the system objectives and constraints
- Identify key performance indicators
- Establish evaluation metrics

### Step 2: Framework Setup
- Configure the software-in-the-loop components
- Initialize hardware-in-the-loop parameters
- Set up monitoring and telemetry

### Step 3: Execution
- Run the optimization loop
- Collect performance data
- Iterate based on feedback

### Step 4: Validation
- Verify solution quality
- Compare against baselines
- Document lessons learned

## Applications

- Systems engineering projects
- Distributed system optimization
- Autonomous system validation
- Multi-agent coordination

## References

- **Paper:** https://arxiv.org/abs/2604.11708v1
- **PDF:** https://arxiv.org/pdf/2604.11708v1
- **Authors:** Aditya A. Krishnan, Donghoon Kim, Hokeun Kim

## Tags

systems engineering, cs.SE, software-in-the-loop, hardware-in-the-loop, continuous integration, robotic platform testing, open-source CPS