# Dronology: An Incubator for Cyber-Physical System Research

arXiv: https://arxiv.org/abs/1804.02423 · HTML: https://mlsanity.com/paper/1804.02423/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Apr 2018.

## Built on by (most cited first, 3 of 3)

- [Automatically detecting the conflicts between software requirements based on finer semantic analysis](https://mlsanity.com/paper/2103.02255/) (2021)
- [PassionNet: An Innovative Framework for Duplicate and Conflicting Requirements Identification](https://mlsanity.com/paper/2412.01657/) (2024)
- [A transfer learning approach for automatic conflicts detection in software requirement sentence pairs based on dual encoders](https://mlsanity.com/paper/2511.23007/) (2025)

## Abstract (arXiv)

Research in the area of Cyber-Physical Systems (CPS) is hampered by the lack of available project environments in which to explore open challenges and to propose and rigorously evaluate solutions. In this "New Ideas and Emerging Results" paper we introduce a CPS research incubator -- based upon a system, and its associated project environment, for managing and coordinating the flight of small Unmanned Aerial Systems (sUAS). The research incubator provides a new community resource, making available diverse, high-quality project artifacts produced across multiple releases of a safety-critical CPS. It enables researchers to experiment with their own novel solutions within a fully-executable runtime environment that supports both high-fidelity sUAS simulations as well as physical sUAS. Early collaborators from the software engineering community have shown broad and enthusiastic support for the project and its role as a research incubator, and have indicated their intention to leverage the environment to address their own research areas of goal modeling, runtime adaptation, safety-assurance, and software evolution.