Requirements engineering: foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022, proceedings / Vincenzo Gervasi, Andreas Vogelsang (eds.).
REFSQ (Conference) (28th : 2022 : Birmingham, United Kingdom), author.; Vogelsang, Andreas.
2022
QA76.758
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Title Requirements engineering: foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022, proceedings / Vincenzo Gervasi, Andreas Vogelsang (eds.).
Meeting Name REFSQ (Conference) (28th : 2022 : Birmingham, United Kingdom), author.
ISBN 9783030984649 (electronic bk.)
3030984648 (electronic bk.)
303098463X
9783030984632
DOI https://doi.org/10.1007/978-3-030-98464-9
Imprint Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-3-030-98464-9 doi
Call Number QA76.758
Dewey Decimal Classification 005.1
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". .
Note Includes author index.
Access Note Access limited to authorized users.
Added Author Vogelsang, Andreas.
Series Lecture notes in computer science ; 13216.
Available in Other Form Print version: 9783030984632
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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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