10 papers
Deriving and Validating Requirements Engineering Principles for Large-Scale Agile Development: An Industrial Longitudinal Study
Hina Saeeda, Mijin Kim, Eric Knauss +4
In large scale agile systems development, the lack of a unified requirements engineering (RE) process is a major challenge, exacerbated by the absence of high level guiding princip…
A Data Annotation Requirements Representation and Specification (DARS)
Yi Peng, Hina Saeeda, Hans-Martin Heyn +3
With the rise of AI-enabled cyber-physical systems, data annotation has become a critical yet often overlooked process in the development of these intelligent information systems.…
Data Annotation Quality Problems in AI-Enabled Perception System Development
Hina Saeeda, Tommy Johansson, Mazen Mohamad +1
Data annotation is essential but highly error-prone in the development of AI-enabled perception systems (AIePS) for automated driving, and its quality directly influences model per…
RE for AI in Practice: Managing Data Annotation Requirements for AI Autonomous Driving Systems
Hina Saeeda, Mazen Mohamad, Eric Knauss +2
High-quality data annotation requirements are crucial for the development of safe and reliable AI-enabled perception systems (AIePS) in autonomous driving. Although these requireme…
Causal Models in Requirement Specifications for Machine Learning: A vision
Hans-Martin Heyn, Yufei Mao, Roland Weiss +1
Specifying data requirements for machine learning (ML) software systems remains a challenge in requirements engineering (RE). This vision paper explores causal modelling as an RE a…
Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman +1
Due to the technical complexity and social impact, automated vehicle (AV) development challenges the current state of automotive engineering practice. Research shows that it is imp…
Requirements Strategy for Managing Human Factors in Automated Vehicle Development
Amna Pir Muhammad, Alessia Knauss, Eric Knauss +1
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 conti…
Managing Security Evidence in Safety-Critical Organizations
Mazen Mohamad, Jan-Philipp Steghöfer, Eric Knauss +1
With the increasing prevalence of open and connected products, cybersecurity has become a serious issue in safety-critical domains such as the automotive industry. As a result, reg…
Automated Configuration Synthesis for Machine Learning Models: A git-Based Requirement and Architecture Management System
Abdullatif AlShriaf, Hans-Martin Heyn, Eric Knauss
This work introduces a tool for generating runtime configurations automatically from textual requirements stored as artifacts in git repositories (a.k.a. T-Reqs) alongside the soft…
Continuous Experimentation and Human Factors An Exploratory Study
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman +1
In todays rapidly evolving technological landscape, the success of tools and systems relies heavily on their ability to meet the needs and expectations of users. User-centered desi…