Publication details
Enhancing Requirements Completeness of Automated Driving System in Concept Phase
| Authors | |
|---|---|
| Year of publication | 2022 |
| Type | Article in Proceedings |
| Conference | International Conference on Modelling and Simulation for Autonomous Systems / MESAS 2021: Modelling and Simulation for Autonomous Systems |
| MU Faculty or unit | |
| Citation | |
| Web | https://link.springer.com/chapter/10.1007/978-3-030-98260-7_24 |
| Doi | http://dx.doi.org/10.1007/978-3-030-98260-7_24 |
| Keywords | requirement engineering; system engineering; holistic thinking; automated driving system |
| Attached files | |
| Description | During the product lifecycle, a change in the requirements may involve expensive consequences on the system development. Nevertheless, having a decent understanding of the system and documenting the correct requirements from different perspectives helps to minimize the changes caused by missing functionalities, therefore, reducing the development cost. Developing a comprehensive understanding of the system in the concept phase promotes completeness and reduces the requirements’ changes. That helps also to create a good model of the system and develop simulation and test cases, which reveal the bugs and the design issues early. This work focuses on thinking strategy to answer the research question, “How to analyze the Automated Driving System (ADS) to improve the requirements’ completeness”. ADS is a complex system that works in a non-deterministic environment, in addition, it is a safety-related system, meaning that, any malfunction during the operation can cause harm to people or properties. Three systematic methods were investigated. First, identify the gaps among the stakeholders. It uses the product life cycle to identify a list of internal and external stakeholders and then identify their expected needs. The second systematic process utilizes the holistic thinking perspectives method to build a broad understanding of ADS and its neighbor systems. This process tries to direct the system definition using external, internal, progressive, quantitative, and scientific perspectives. The last method deals with safety requirements identification tools. |