Requirements Engineering: Foundation for Software Quality

This book constitutes the refereed proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, which took place in Barcelona, Spain, during April 17-20, 2023. The 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports presented in this volume were carefully reviewed and selected from 78 submissions.

They were organized in topical sections as follows: Requirements communication and conceptualization; NLP and machine learning for AI; RE for artificial intelligence; crowd RE; and RE in practice.

Inhalt
Requirements Communication and Conceptualization.- Requirements Engineering Issues Experienced by Software Practitioners: A Study on Stack Exchange.- An Empirical Study of the Intuitive Understanding of a Formal Pattern Language.- Supporting Shared Understanding in Asynchronous Communication Contexts.- Bringing Stakeholders Along for the Ride: Towards Supporting Intentional Decisions in Software Evolution.- Understanding the Role of Human-Related Factors in Security Requirements Elicitation.- Scope Determined (D) and Scope Determining (G) Requirements: A New Categorization of Functional Requirements.- NLP and Machine Learning for AI Using Language Models for Enhancing the Completeness of Natural-language Requirements.- Requirement or not, that is the question: A case from the railway industry 97.- Summarization of Elicitation Conversations to Locate Requirements Relevant Information.- Ontology-based Automatic Reasoning and NLP for Tracing Software Requirements into Models with the OntoTrace Tool.- Requirements classi cation using fastText and BETO in Spanish documents.- RE for Artificial Intelligence.- Exploring Requirements for Software that Learns: A Research Preview.- Requirements Engineering for Automotive Perception Systems: an Interview Study.- An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications.- A Requirements Engineering Perspective to AI-based Systems Development: A Vision Paper.- Out-of-Distribution detection as Support for Autonomous Driving Safety Lifecycle.- Crowd RE.- Automatically Classifying Kano Model Factors in App Reviews.- Data-driven Persona Creation, Validation, and Evolution.- Towards a Cross-Country Analysis of Software-related Tweets.- Integrating Implicit Feedback into Crowd Requirements Engineering - a Research Preview.- RE in Practice.- Authoring, Analyzing, and Monitoring Requirements for a Lift-Plus-Cruise Aircraft.- Knowns and Unknowns: An Experience Reporton Discovering Tacit Knowledge of Maritime Surveyors.- Feel It, Code It: Emotional Goal Modelling for Inclusive Design.- A Product Owner's Navigation in Power Imbalance Between Business and IT: An Experience Report.- Eliciting Security Requirements - an Experience Report.