LEADER 01224nam 2200409 450 001 9910155607903321 005 20221215203651.0 010 $a1-4103-4565-3 035 $a(CKB)4340000000017747 035 $a(MiAaPQ)EBC4741158 035 $a(EXLCZ)994340000000017747 100 $a20161123h20002000 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 02$aA study guide for Clarice Lispector's "Family Ties" 210 1$aFarmington Hills, Michigan :$cGale,$d2000. 210 4$dİ2000 215 $a1 online resource (24 pages) 225 0 $aLiterature of Developing Nations for Students ;$vVolume 1 320 $aIncludes bibliographical references. 606 $aFiction$vStories, plots, etc 606 $aFiction$xHistory and criticism 606 $aAuthors, Brazilian$y20th century 615 0$aFiction 615 0$aFiction$xHistory and criticism. 615 0$aAuthors, Brazilian 676 $a808.3 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155607903321 996 $aA study guide for Clarice Lispector's "Family Ties"$92986112 997 $aUNINA LEADER 04876nam 22006855 450 001 9910552735103321 005 20251225212246.0 010 $a3-030-98464-8 024 7 $a10.1007/978-3-030-98464-9 035 $a(MiAaPQ)EBC6915750 035 $a(Au-PeEL)EBL6915750 035 $a(CKB)21391930500041 035 $a(PPN)261518186 035 $a(BIP)83469819 035 $a(BIP)83220856 035 $a(DE-He213)978-3-030-98464-9 035 $a(EXLCZ)9921391930500041 100 $a20220308d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRequirements Engineering: Foundation for Software Quality $e28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21?24, 2022, Proceedings /$fedited by Vincenzo Gervasi, Andreas Vogelsang 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (265 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13216 311 08$aPrint version: Gervasi, Vincenzo Requirements Engineering: Foundation for Software Quality Cham : Springer International Publishing AG,c2022 9783030984632 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 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