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Requirements Engineering: Foundation for Software Quality : 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21-24, 2022, Proceedings / edited by Vincenzo Gervasi, Andreas Vogelsang.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science 1611-3349 ; 13216
- Lecture Notes in Computer Science, 1611-3349 ; 13216
- Language:
- English
- Subjects (All):
- Software engineering.
- Application software.
- Artificial intelligence.
- Computer programming.
- Software Engineering.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Programming Techniques.
- Local Subjects:
- Software Engineering.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Programming Techniques.
- Physical Description:
- 1 online resource (XVII, 259 pages) : 51 illustrations, 36 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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". .
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-98464-9
- 9783030984649
- Access Restriction:
- Restricted for use by site license.
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