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[ subject:"Computer software- Quality control" ]
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Requirements engineering = foundatio...
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REFSQ (Conference) (2022 :)
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Requirements engineering = foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Requirements engineering/ edited by Vincenzo Gervasi, Andreas Vogelsang.
其他題名:
foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /
其他題名:
REFSQ 2022
其他作者:
Gervasi, Vincenzo.
團體作者:
REFSQ (Conference)
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xvii, 259 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Software engineering - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-030-98464-9
ISBN:
9783030984649
Requirements engineering = foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /
Requirements engineering
foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /[electronic resource] :REFSQ 2022edited by Vincenzo Gervasi, Andreas Vogelsang. - Cham :Springer International Publishing :2022. - xvii, 259 p. :ill., digital ;24 cm. - Lecture notes in computer science,132160302-9743 ;. - Lecture notes in computer science ;13216..
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.
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".
ISBN: 9783030984649
Standard No.: 10.1007/978-3-030-98464-9doiSubjects--Topical Terms:
696781
Software engineering
--Congresses.
LC Class. No.: QA76.758 / .R44 2022
Dewey Class. No.: 005.1
Requirements engineering = foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /
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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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