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_a10.1007/978-3-030-98464-9 _2doi |
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_aQA76.758 _b2022 EB |
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_aRequirements Engineering: Foundation for Software Quality : _b28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21-24, 2022, Proceedings _cedited by Vincenzo Gervasi, Andreas Vogelsang |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2022 |
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| 300 |
_a1 recurso en línea (XVII, 259 páginas) _b51 ilustraciones, 36 ilustraciones a color |
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_aarchivo de texto _bPDF |
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_aLecture Notes in Computer Science _x1611-3349 _v13216 |
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| 505 | 0 | _aArtificial 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 | _aThis 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". . | ||
| 988 | _aSpringer_Computer_2022 | ||
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_2embne _9152630 _aIngeniería del software _vCongresos y asambleas |
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_aGervasi, Vincenzo _eeditor literario _0(orcid)0000-0002-8567-9328 _1https://orcid.org/0000-0002-8567-9328 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aVogelsang, Andreas _eeditor literario _0(orcid)0000-0003-1041-0815 _1https://orcid.org/0000-0003-1041-0815 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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_iPrinted edition: _z9783030984632 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030984656 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98464-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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