Requirements Engineering: Foundation for Software Quality: 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings

Author:   Vincenzo Gervasi ,  Andreas Vogelsang
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   13216
ISBN:  

9783030984632


Pages:   259
Publication Date:   09 March 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Requirements Engineering: Foundation for Software Quality: 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings


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Overview

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"". 

Full Product Details

Author:   Vincenzo Gervasi ,  Andreas Vogelsang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   13216
Weight:   0.433kg
ISBN:  

9783030984632


ISBN 10:   303098463
Pages:   259
Publication Date:   09 March 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Artificial Intelligence and Explainability.- Transparency and Explainability of AI Systems: Ethical Guidelines in Practice.- Requirements Engineering for Artificial Intelligence: What is a Requirements Specification for an Artificial Intelligence.- Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering.- Machine Learning.- How Effective Is Automated Trace Link Recovery in Model-Driven Development.- A Zero-Shot Learning Approach to Classifying Requirements: Preliminary Study.- Natural Language Processing.- Abbreviation-Expansion Pair Detection for Glossary Term Extraction.- Towards Explainable Formal Methods: from LTL to Natural Language with Neural Machine Translation.- Req2Spec: Transforming Software Requirements into Formal Specifications using Natural Language Processing.- FRETting About Requirements.- User Stories.- Invest in Splitting: User Story Splitting within the Software Industry.- Guided Derivation of Conceptual Models from User Stories: A Controlled Experiment.- From User Stories to Data Flow Diagram for Privacy Awareness.- Business, Markets, and Industrial Practice.- Requirements Engineering in the Market Dialogue Phase of Public Procurement: A Case Study of an Innovation Partnership for Medical Technology.- A Business Model Construction Kit for Platform Business Models - Research Preview.- On Testing Security Requirements in Industry? -- A Survey Study.- Setting AI in context: A case study on defining the context and operational design domain for automated driving.- Cognition and Expression.- Requirements Engineering for Software-Enabled Art: Challenges and Guidelines.- A Study on the Mental Models of Users Concerning Existing Software.- Vision Video Making with Novices: A Research Preview.

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