Temel Kavramlar
This paper pioneers a strategic roadmap for simulation-based testing of autonomous cyber-physical systems, addressing key challenges and outlining future research directions to enable more robust and reliable testing methodologies.
Özet
The paper discusses the challenges and obstacles in simulation-based testing of autonomous cyber-physical systems (ACPSs), such as unmanned aerial vehicles and self-driving cars. It provides a concise definition and formulation of test cases tailored to simulation environments, covering the key elements of the test subject, environment, task, and oracle.
The paper highlights several critical challenges in this domain:
- Defining the testing task and the oracle: Delineating the characteristics and requirements of simulation-based test cases, and addressing the Oracle Problem in a cost-effective manner.
- Defining the environment: Determining the appropriate level of abstraction for the testing environment and ensuring the simulation accurately replicates real-world conditions to address the Reality Gap.
- Lack of benchmarks: The need for openly available comprehensive datasets and benchmarks to facilitate research and development in this domain.
- Achieving cost-effective solutions: Integrating simulation-based testing into agile development practices and DevOps methodologies, while ensuring sustainability and reducing the energy footprint.
The paper outlines future research directions to address these challenges, including:
- Adapting traditional software testing practices, such as TDD and regression testing, to the simulation-based testing of ACPSs.
- Developing representative oracle metrics that can accurately assess the safety and quality of ACPS behavior in simulation environments.
- Exploring hybrid approaches that seamlessly blend simulated and real-world data to bridge the Reality Gap.
- Investigating the energy consumption patterns of software testing practices and developing strategies to reduce the environmental impact.
By addressing the challenges and following the proposed roadmap, the paper aims to contribute to the progress towards more robust and reliable testing methodologies for autonomous systems in simulation environments.