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024 7 _a10.1007/978-3-030-98464-9
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072 7 _aCOM051230
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082 0 4 _a005.1
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245 1 0 _aRequirements Engineering: Foundation for Software Quality
_h[electronic resource] :
_b28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21-24, 2022, Proceedings /
_cedited by Vincenzo Gervasi, Andreas Vogelsang.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXVII, 259 p. 51 illus., 36 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13216
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". .
650 0 _aSoftware engineering.
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650 0 _aApplication software.
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650 0 _aArtificial intelligence.
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650 0 _aComputer programming.
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650 1 4 _aSoftware Engineering.
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650 2 4 _aComputer and Information Systems Applications.
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650 2 4 _aArtificial Intelligence.
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650 2 4 _aProgramming Techniques.
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700 1 _aGervasi, Vincenzo.
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700 1 _aVogelsang, Andreas.
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-98464-9
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