Requirements Strategy for Managing Human Factors in Automated Vehicle Development
Paper in proceeding, 2024

The integration of human factors (HF) knowledge is crucial when developing safety-critical systems, such as automated vehicles (AVs). Ensuring that HF knowledge is considered continuously throughout the AV development process is essential for several reasons, including efficacy, safety, and acceptance of these advanced systems. However, it is challenging to include HF as requirements in agile development. Recently, Requirements Strategies have been suggested to address requirements engineering challenges in agile development. By applying the concept of Requirements Strategies as a lens to the investigation of HF requirements in agile development of AVs, this paper arrives at three areas for investigation: a) ownership and responsibility for HF requirements, b) structure of HF requirements and information models, and c) definition of work and feature flows related to HF requirements. Based on 13 semi-structured interviews with professionals from the global automotive industry, we provide qualitative insights in these three areas. The diverse perspectives and experiences shared by the interviewees provide insightful views and helped to reason about the potential solution spaces in each area for integrating HF within the industry, highlighting the real-world practices and strategies used.

Requirements Strategy

Requirements Engineering

Human Factors

Automated Vehicles

Agile Development

Author

Amna Pir Muhammad

University of Gothenburg

Software Engineering 1

Alessia Knauss

Zenseact AB

Eric Knauss

University of Gothenburg

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Jonas Bargmann

Proceedings of the IEEE International Conference on Requirements Engineering

1090705X (ISSN) 23326441 (eISSN)

180-192
9798350395112 (ISBN)

32nd IEEE International Requirements Engineering Conference, RE 2024
Reykjavik, Iceland,

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Software Engineering

Vehicle Engineering

DOI

10.1109/RE59067.2024.00026

More information

Latest update

9/9/2024 3