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Autor(en): 
  • Yu Liu
  • Rui Peng
  • Yan-Fu Li
  • Software Fault Detection and Correction: Modeling and Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2018  
    Genre:  EDV / Informatik 
     
    C / computer hardware / computer science / Computer software—Reusability / Industrial and Production Engineering / Industrial safety / Maintenance & repairs / Mathematical Modeling and Industrial Mathematics
    ISBN:  9789811311611 
    EAN-Code: 
    9789811311611 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  SpringerBriefs in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  273 gr 
    Seiten:  108 
    Illustration:  XIII, 108 p. 30 illus., 12 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book focuses on software fault detection and correction processes, presenting 5 different paired models introduced over the last decade and discussing their applications, in particular to determining software release time.

    The first work incorporates the testing effort function and the fault introduction process into the paired fault detection and fault correction models. The second work incorporates fault dependency, while the third adopts a Markov approach for studying fault detection and correction processes. The fourth work considers the multi-release property of various software, and models fault detection and correction processes. The last work classifies faults into four types and models the fault-detection and correction processes.

    Enabling readers to familiarize themselves with how software reliability can be modeled when different factors need to be considered, and how the approaches can be used to analyze other systems, the book is important referenceguide for researchers in the field of software reliability engineering and practitioners working on software projects. To gain the most from the book, readers should have a firm grasp of the fundamentals of the stochastic process.
      



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