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.

This book constitutes the refereed proceedings of the 28th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2022, which was held in Aston, Birmingham, UK, during March 21-24, 2022. The 12 full and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Artificial intelligence and explainability; machine learning; natural language processing; user stories; business, markets, and industrial practice; and cognition and expression. The special theme for REFSQ 2022 was "Explainability in Requirements Engineering". .