Produktbild: Requirements Engineering: Foundation for Software Quality
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Requirements Engineering: Foundation for Software Quality 30th International Working Conference, REFSQ 2024, Winterthur, Switzerland, April 8–11, 2024, Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.04.2024

Abbildungen

XVII, 356 p. 105 illus., 69 illus. in color.

Herausgeber

Daniel Mendez + weitere

Verlag

Springer

Seitenzahl

356

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

569 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-57326-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.04.2024

Abbildungen

XVII, 356 p. 105 illus., 69 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

356

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

569 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-57326-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Requirements Engineering: Foundation for Software Quality

  • 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.