Artificial Intelligence and Explainability
Transparency and Explainability of AI Systems: Ethical Guidelines in Practice
Requirements Engineering for Artificial Intelligence: What is a Requirements Specification for an Artificial Intelligence
Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering
Machine Learning
How Effective Is Automated Trace Link Recovery in Model-Driven Development
A Zero-Shot Learning Approach to Classifying Requirements: Preliminary Study
Natural Language Processing
Abbreviation-Expansion Pair Detection for Glossary Term Extraction
Towards Explainable Formal Methods: from LTL to Natural Language with Neural Machine Translation
Req2Spec: Transforming Software Requirements into Formal Specifications using Natural Language Processing
FRETting About Requirements
User Stories
Invest in Splitting: User Story Splitting within the Software Industry
Guided Derivation of Conceptual Models from User Stories: A Controlled Experiment
From User Stories to Data Flow Diagram for Privacy Awareness
Business, Markets, and Industrial Practice
Requirements Engineering in the Market Dialogue Phase of Public Procurement: A Case Study of an Innovation Partnership for Medical Technology
A Business Model Construction Kit for Platform Business Models - Research Preview
On Testing Security Requirements in Industry?
A Survey Study
Setting AI in context: A case study on defining the context and operational design domain for automated driving
Cognition and Expression
Requirements Engineering for Software-Enabled Art: Challenges and Guidelines
A Study on the Mental Models of Users Concerning Existing Software
Vision Video Making with Novices: A Research Preview.