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Beschreibung
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.
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.
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.
Details
Erscheinungsjahr: | 2024 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 376 |
Reihe: | Lecture Notes in Computer Science |
Inhalt: |
xvii
356 S. 36 s/w Illustr. 69 farbige Illustr. 356 p. 105 illus. 69 illus. in color. |
ISBN-13: | 9783031573262 |
ISBN-10: | 3031573269 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Redaktion: |
Moreira, Ana
Mendez, Daniel |
Herausgeber: | Daniel Mendez/Ana Moreira |
Auflage: | 2024 |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing Lecture Notes in Computer Science |
Maße: | 235 x 155 x 21 mm |
Von/Mit: | Ana Moreira (u. a.) |
Erscheinungsdatum: | 17.04.2024 |
Gewicht: | 0,569 kg |
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.
Details
Erscheinungsjahr: | 2024 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 376 |
Reihe: | Lecture Notes in Computer Science |
Inhalt: |
xvii
356 S. 36 s/w Illustr. 69 farbige Illustr. 356 p. 105 illus. 69 illus. in color. |
ISBN-13: | 9783031573262 |
ISBN-10: | 3031573269 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Redaktion: |
Moreira, Ana
Mendez, Daniel |
Herausgeber: | Daniel Mendez/Ana Moreira |
Auflage: | 2024 |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing Lecture Notes in Computer Science |
Maße: | 235 x 155 x 21 mm |
Von/Mit: | Ana Moreira (u. a.) |
Erscheinungsdatum: | 17.04.2024 |
Gewicht: | 0,569 kg |
Warnhinweis