Mendez / Moreira Requirements Engineering: Foundation for Software Quality

30th International Working Conference, REFSQ 2024, Winterthur, Switzerland, April 8–11, 2024, Proceedings
Erscheinungsjahr 2024
ISBN: 978-3-031-57327-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 356 Seiten

Reihe: Computer Science (R0)

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.

Zielgruppe

Research

Autoren/Hrsg.

Mendez, Daniel

Moreira, Ana

Inhaltsverzeichnis

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.