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Requirements Engineering: Foundation for Software Quality

28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Vincenzo Gervasi

    1. University of Pisa, Pisa, Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Andreas Vogelsang

    1. University of Cologne, Cologne, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13216)

Included in the following conference series:

Conference proceedings info: REFSQ 2022.

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Table of contents (19 papers)

  1. Front Matter

    Pages i-xvii
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  2. Artificial Intelligence and Explainability

    1. Front Matter

      Pages 1-1
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    2. Transparency and Explainability of AI Systems: Ethical Guidelines in Practice

      • Nagadivya Balasubramaniam, Marjo Kauppinen, Kari Hiekkanen, Sari Kujala
      Pages 3-18

    3. Requirements Engineering for Artificial Intelligence: What Is a Requirements Specification for an Artificial Intelligence?

      • Daniel M. Berry
      Pages 19-25

    4. Quo Vadis, Explainability? – A Research Roadmap for Explainability Engineering

      • Wasja Brunotte, Larissa Chazette, Verena Klös, Timo Speith
      Pages 26-32

  3. Machine Learning

    1. Front Matter

      Pages 33-33
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    2. How Effective Is Automated Trace Link Recovery in Model-Driven Development?

      • Randell Rasiman, Fabiano Dalpiaz, Sergio España
      Pages 35-51

    3. A Zero-Shot Learning Approach to Classifying Requirements: A Preliminary Study

      • Waad Alhoshan, Liping Zhao, Alessio Ferrari, Keletso J. Letsholo
      Pages 52-59

  4. Natural Language Processing

    1. Front Matter

      Pages 61-61
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    2. Abbreviation-Expansion Pair Detection for Glossary Term Extraction

      • Hussein Hasso, Katharina Großer, Iliass Aymaz, Hanna Geppert, Jan Jürjens
      Pages 63-78

    3. Towards Explainable Formal Methods: From LTL to Natural Language with Neural Machine Translation

      • Himaja Cherukuri, Alessio Ferrari, Paola Spoletini
      Pages 79-86

    4. Req2Spec: Transforming Software Requirements into Formal Specifications Using Natural Language Processing

      • Anmol Nayak, Hari Prasad Timmapathini, Vidhya Murali, Karthikeyan Ponnalagu, Vijendran Gopalan Venkoparao, Amalinda Post
      Pages 87-95

    5. FRETting About Requirements: Formalised Requirements for an Aircraft Engine Controller

      • Marie Farrell, Matt Luckcuck, Oisín Sheridan, Rosemary Monahan
      Pages 96-111

  5. User Stories

    1. Front Matter

      Pages 113-113
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    2. Invest in Splitting: User Story Splitting Within the Software Industry

      • Emanuel Dellsén, Karl Westgårdh, Jennifer Horkoff
      Pages 115-130

    3. Guided Derivation of Conceptual Models from User Stories: A Controlled Experiment

      • Maxim Bragilovski, Fabiano Dalpiaz, Arnon Sturm
      Pages 131-147

    4. From User Stories to Data Flow Diagrams for Privacy Awareness: A Research Preview

      • Guntur Budi Herwanto, Gerald Quirchmayr, A. Min Tjoa
      Pages 148-155

  6. Business, Markets, and Industrial Practice

    1. Front Matter

      Pages 157-157
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    2. Requirements Engineering in the Market Dialogue Phase of Public Procurement: A Case Study of an Innovation Partnership for Medical Technology

      • Gunnar Brataas, Geir Kjetil Hanssen, Xinlu Qiu, Lisa S. Græslie
      Pages 159-174Open Access

    3. A Business Model Construction Kit for Platform Business Models - Research Preview

      • Nedo Bartels, Jaap Gordijn
      Pages 175-182
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About this book

This book constitutes the refereed proceedings of the 28th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2022, which was held in Aston, Birmingham, UK, during March 21-24, 2022. 

The 12 full and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Artificial intelligence and explainability; machine learning; natural language processing; user stories; business, markets, and industrial practice; and cognition and expression. The special theme for REFSQ 2022 was "Explainability in Requirements Engineering". 

Editors and Affiliations

  • University of Pisa, Pisa, Italy

    Vincenzo Gervasi

  • University of Cologne, Cologne, Germany

    Andreas Vogelsang

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