5 papers · 1 filter
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.…
From Machine Learning Documentation to Requirements: Bridging Processes with Requirements Languages
Yi Peng, Hans-Martin Heyn, Jennifer Horkoff
In software engineering processes for machine learning (ML)-enabled systems, integrating and verifying ML components is a major challenge. A prerequisite is the specification of ML…
Tutorial Debriefing: Applied Statistical Causal Inference in Requirements Engineering
Julian Frattini, Hans-Martin Heyn, Robert Feldt +1
As any scientific discipline, the software engineering (SE) research community strives to contribute to the betterment of the target population of our research: software producers…
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…
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…