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Metaverse - METAVERSE 2023 edited by Sheng He, Jiacai Lai, Liang-Jie Zhang. [electronic resource] :

Contributor(s): Material type: TextTextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: XVI, 121 p. 42 illus., 31 illus. in color. online resourceISBN:
  • 9783031447549
Subject(s): DDC classification:
  • 4.24
Online resources: Summary: This book constitutes the refereed proceedings of the 19th International Conference on Metaverse, METAVERSE 2023, held in Honolulu, HI, USA, during September 23-26, 2023. The 9 full papers and 3 short papers included in this book were carefully reviewed and selected from 15 submissions. They were organized in topical sections as follows: answer set programming; metaverse engineering foundations and applications, with a focus on novel approaches for engineering requirements, design and architectures, testing, maintenance and evolution, model-driven development, software processes, metrics, quality assurance and new software economics models, search-based software engineering, benefiting day-to-day services sectors and derived through experiences, with appreciation to scale, pragmatism, transparency, compliance and/or dependability.
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Holdings
Item type Home library Call number Status Notes Date due Barcode Item holds
e-Book e-Book S. R. Ranganathan Learning Hub Online Available Platform:Springer EB2674
Total holds: 0

This book constitutes the refereed proceedings of the 19th International Conference on Metaverse, METAVERSE 2023, held in Honolulu, HI, USA, during September 23-26, 2023. The 9 full papers and 3 short papers included in this book were carefully reviewed and selected from 15 submissions. They were organized in topical sections as follows: answer set programming; metaverse engineering foundations and applications, with a focus on novel approaches for engineering requirements, design and architectures, testing, maintenance and evolution, model-driven development, software processes, metrics, quality assurance and new software economics models, search-based software engineering, benefiting day-to-day services sectors and derived through experiences, with appreciation to scale, pragmatism, transparency, compliance and/or dependability.

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