Requirements Engineering: Foundation for Software Quality [electronic resource] 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings / edited by Vincenzo Gervasi, Andreas Vogelsang.
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 carefu...
| Uniform Title: | Lecture Notes in Computer Science,
1611-3349 ; 13216 |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| Edition: | 1st ed. 2022. |
| Series: | Lecture Notes in Computer Science,
13216 |
| Subjects: | |
| Online Access: | |
| Variant Title: |
Requirements Engineering: Foundation for Software Quality: 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings |
| Format: | Electronic eBook |
MARC
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| 245 | 1 | 0 | |a Requirements Engineering: Foundation for Software Quality |h [electronic resource] |b 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings / |c edited by Vincenzo Gervasi, Andreas Vogelsang. |
| 246 | 2 | |a Requirements Engineering: Foundation for Software Quality: 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings | |
| 250 | |a 1st ed. 2022. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2022. | |
| 490 | 1 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 13216 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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". . | ||
| 650 | 0 | |a Software engineering. | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer programming. | |
| 700 | 1 | |a Gervasi, Vincenzo. |e editor. |0 (orcid)0000-0002-8567-9328 |1 https://orcid.org/0000-0002-8567-9328 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Vogelsang, Andreas. |e editor. |0 (orcid)0000-0003-1041-0815 |1 https://orcid.org/0000-0003-1041-0815 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783030984632 |
| 776 | 0 | 8 | |i Printed edition: |z 9783030984656 |
| 776 | 1 | |t Requirements Engineering: Foundation for Software Quality | |
| 830 | 0 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 13216 | |
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