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Requirements Engineering: Foundation for Software Quality

30th International Working Conference, REFSQ 2024, Winterthur, Switzerland, April 8–11, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Daniel Mendez

    1. Blekinge Institute of Technology, Karlskrona, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  2. Ana Moreira

    1. NOVA University Lisbon, Lisbon, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14588)

Included in the following conference series:

Conference proceedings info: REFSQ 2024.

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Table of contents (22 papers)

  1. Front Matter

    Pages i-xvii
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  2. Quality Models for Requirements Engineering

    1. Front Matter

      Pages 1-1
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    2. How Explainable Is Your System? Towards a Quality Model for Explainability

      • Hannah Deters, Jakob Droste, Martin Obaidi, Kurt Schneider
      Pages 3-19

    3. Identifying Relevant Factors of Requirements Quality: An Industrial Case Study

      • Julian Frattini
      Pages 20-36

  3. Quality Requirements

    1. Front Matter

      Pages 37-37
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    2. Assessing the Understandability and Acceptance of Attack-Defense Trees for Modelling Security Requirements

      • Giovanna Broccia, Maurice H. ter Beek, Alberto Lluch Lafuente, Paola Spoletini, Alessio Ferrari
      Pages 39-56

    3. Learning to Rank Privacy Design Patterns: A Semantic Approach to Meeting Privacy Requirements

      • Guntur Budi Herwanto, Gerald Quirchmayr, A. Min Tjoa
      Pages 57-73

    4. A New Usability Inspection Method: Experience-Based Analysis

      • Anu Piirisild, Ana Perandrés Gómez, Kuldar Taveter
      Pages 74-91

    5. Governance-Focused Classification of Security and Privacy Requirements from Obligations in Software Engineering Contracts

      • Preethu Rose Anish, Aparna Verma, Sivanthy Venkatesan, Logamurugan V., Smita Ghaisas
      Pages 92-108

  4. Explainability with and in Requirements Engineering

    1. Front Matter

      Pages 109-109
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    2. What Impact Do My Preferences Have?

      • Rebekka Wohlrab, Michael Vierhauser, Erik Nilsson
      Pages 111-128

    3. Candidate Solutions for Defining Explainability Requirements of AI Systems

      • Nagadivya Balasubramaniam, Marjo Kauppinen, Hong-Linh Truong, Sari Kujala
      Pages 129-146

  5. Artificial Intelligence for Requirements Engineering

    1. Front Matter

      Pages 147-147
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    2. Opportunities and Limitations of AI in Human-Centered Design a Research Preview

      • Anne Hess, Thomas Immich, Jill Tamanini, Mario Biedenbach, Matthias Koch
      Pages 149-158

    3. A Tertiary Study on AI for Requirements Engineering

      • Ali Mehraj, Zheying Zhang, Kari Systä
      Pages 159-177

    4. Exploring LLMs’ Ability to Detect Variability in Requirements

      • Alessandro Fantechi, Stefania Gnesi, Laura Semini
      Pages 178-188

  6. Natural Language Processing for Requirements Engineering

    1. Front Matter

      Pages 189-189
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    2. Designing NLP-Based Solutions for Requirements Variability Management: Experiences from a Design Science Study at Visma

      • Parisa Elahidoost, Michael Unterkalmsteiner, Davide Fucci, Peter Liljenberg, Jannik Fischbach
      Pages 191-204

    3. Natural2CTL: A Dataset for Natural Language Requirements and Their CTL Formal Equivalents

      • Rim Zrelli, Henrique Amaral Misson, Maroua Ben Attia, Felipe Gohring de Magalhães, Abdo Shabah, Gabriela Nicolescu
      Pages 205-216

  7. Requirements Engineering for Artificial Intelligence

    1. Front Matter

      Pages 217-217
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  1. Requirements Engineering: Foundation for Software Quality

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About this book

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.

Editors and Affiliations

  • Blekinge Institute of Technology, Karlskrona, Sweden

    Daniel Mendez

  • NOVA University Lisbon, Lisbon, Portugal

    Ana Moreira

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