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Crowdsourcing and Probabilistic Decision-Making in Software Engineering : Emerging Research and Opportunities

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Title: Crowdsourcing and Probabilistic Decision-Making in Software Engineering : Emerging Research and Opportunities
Description: With today's technological advancements, the evolution of software has led to various challenges regarding mass markets and crowds. High quality processing must be capable of handling large groups in an efficient manner without error. Solutions that have been applied include artificial intelligence and natural language processing, but extensive research in this area has yet to be undertaken. Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of crowd-based software engineering and supports software engineers who want to improve the manner in which software is developed by increasing the accuracy of probabilistic reasoning to support their decision-making and getting automation support. While highlighting topics such as modeling techniques and programming practices, this publication is ideally designed for software developers, software engineers, computer engineers, executives, professionals, and researchers.
Authors: Varun Gupta
Resource Type: eBook.
Subjects: Crowdsourcing, Statistical decision, Software engineering
Categories: COMPUTERS / Software Development & Engineering / General, COMPUTERS / General, COMPUTERS / Computer Engineering
Database: eBook Collection (EBSCOhost)
FullText Links:
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  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2239351
RelevancyScore: 1097
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1096.64697265625
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  Data: Crowdsourcing and Probabilistic Decision-Making in Software Engineering : Emerging Research and Opportunities
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  Data: With today's technological advancements, the evolution of software has led to various challenges regarding mass markets and crowds. High quality processing must be capable of handling large groups in an efficient manner without error. Solutions that have been applied include artificial intelligence and natural language processing, but extensive research in this area has yet to be undertaken. Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of crowd-based software engineering and supports software engineers who want to improve the manner in which software is developed by increasing the accuracy of probabilistic reasoning to support their decision-making and getting automation support. While highlighting topics such as modeling techniques and programming practices, this publication is ideally designed for software developers, software engineers, computer engineers, executives, professionals, and researchers.
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  Data: <searchLink fieldCode="DE" term="%22Crowdsourcing%22">Crowdsourcing</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+decision%22">Statistical decision</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 005.1
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Crowdsourcing
        Type: general
      – SubjectFull: Statistical decision
        Type: general
      – SubjectFull: Software engineering
        Type: general
    Titles:
      – TitleFull: Crowdsourcing and Probabilistic Decision-Making in Software Engineering : Emerging Research and Opportunities
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Varun Gupta
      – PersonEntity:
          Name:
            NameFull: Varun Gupta
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 29
              M: 08
              Type: profile
              Y: 2019
          Identifiers:
            – Type: isbn-print
              Value: 9781522596592
            – Type: isbn-electronic
              Value: 9781522596615
            – Type: isbn-electronic
              Value: 9781522596622
          Titles:
            – TitleFull: Crowdsourcing and Probabilistic Decision-Making in Software Engineering : Emerging Research and Opportunities
              Type: main
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