05646nam 22007455 450 991084708480332120251225193522.09783031573279303157327710.1007/978-3-031-57327-9(CKB)31253150200041(MiAaPQ)EBC31233376(Au-PeEL)EBL31233376(DE-He213)978-3-031-57327-9(OCoLC)1429723562(MiAaPQ)EBC31574275(Au-PeEL)EBL31574275(EXLCZ)993125315020004120240329d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierRequirements Engineering: Foundation for Software Quality 30th International Working Conference, REFSQ 2024, Winterthur, Switzerland, April 8–11, 2024, Proceedings /edited by Daniel Mendez, Ana Moreira1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (363 pages)Lecture Notes in Computer Science,1611-3349 ;145889783031573262 3031573269 Includes bibliographical references and index.Quality models for Requirements Engineering -- How Explainable is Your System? Towards a Quality Model for Explainability -- Identifying relevant Factors of Requirements Quality: an industrial Case Study -- Quality Requirements -- Assessing the Understandability of Attack-Defense Trees for Modelling Security Requirements: an Experimental Investigation -- Learning to Rank Privacy Design Patterns: A Semantic Approach to Meeting Privacy Requirements -- A New Usability Inspection Method: Experience-based Analysis -- Governance-focused Classification of Security and Privacy Requirements from Obligations in Software Engineering Contracts -- Explainability with and in Requirements Engineering -- What Impact do my Preferences Have? A Framework for Explanation-Based Elicitation of Quality Objectives for Robotic Mission Planning -- Candidate Solutions for Defining Explainability Requirements of AI Systems -- Artificial Intelligence for Requirements Engineering -- Opportunities and Limitations of AI in Human-Centered Design - A Research Preview -- A Tertiary Study on AI for Requirements Engineering -- Exploring LLMs’ ability to detect variability in requirements -- Natural Language Processing for Requirements Engineering -- Designing NLP-based solutions for requirements variability management: experiences from a design science study at Visma -- Natural2CTL: A Dataset for Natural Language Requirements and their CTL Formal Equivalents -- Requirements Engineering for Artificial Intelligence -- Towards a Comprehensive Ontology for Requirements Engineering for AI-powered Systems -- Operationalizing Machine Learning Using Requirements-Grounded MLOps -- Crowd-based Requirements Engineering -- Unveiling Competition Dynamics in Mobile App Markets through User Reviews -- Exploring the Automatic Classification of Usage Information in Feedback -- Channeling the Voice of the Crowd: Applying Structured Queries in User Feedback Collection -- Emerging Topics and Challenges in Requirements Engineering -- Requirements Information in Backlog Items: Content Analysis -- Requirements Engineering for No-Code Development (RE4NCD): A Case Study of Rapid Application Development during War -- Behavior-Driven Specification in Practice: An Experience Report -- The Return of Formal Requirements Engineering in the Era of Large Language Models.This book constitutes the refereed proceedings of the 30th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2024, held in Winterthur, Switzerland, during April 8–12, 2024. The 14 full papers and 8 short papers included in this book were carefully reviewed and selected from 59 submissions. They are organized in topical sections as follows: quality models for requirements engineering; quality requirements; explainability with and in requirements engineering; artificial intelligence for requirements engineering; natural language processing for requirements engineering; requirements engineering for artificial intelligence; crowd-based requirements engineering; and emerging topics and challenges in requirements engineering.Lecture Notes in Computer Science,1611-3349 ;14588Software engineeringEducationData processingApplication softwareMachine learningNatural language processing (Computer science)Software EngineeringComputers and EducationComputer and Information Systems ApplicationsMachine LearningNatural Language Processing (NLP)Software engineering.EducationData processing.Application software.Machine learning.Natural language processing (Computer science)Software Engineering.Computers and Education.Computer and Information Systems Applications.Machine Learning.Natural Language Processing (NLP).005.10685Mendez DanielMoreira Ana M. D.MiAaPQMiAaPQMiAaPQBOOK9910847084803321Requirements Engineering2143744UNINA