• Part of
    Ubiquity Network logo
    Interesse beim KIT-Verlag zu publizieren? Informationen für Autorinnen und Autoren

    Online lesen
  • No readable formats available
  • Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment

    Fouad ben Nasr Omri

    Band 22 von The Karlsruhe Series on Software Design and Quality
     Download

    This work developed an automatic approach for the assessment of software reliability which is both theoretical sound and practical. The developed approach extends and combines theoretical sound approaches in a novel manner to systematically reduce the overhead of reliability assessment.

    Umfang: XIII, 162 S.

    Preis: €35.00 | £32.00 | $62.00

    Wikipedia Concepts

    These are words or phrases in the text that have been automatically identified by the Named Entity Recognition and Disambiguation service, which provides Wikipedia () and Wikidata () links for these entities.

    Metrics:

    Empfohlene Zitierweise
    Omri, F. 2018. Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000051517
    Omri, F. ben N., 2018. Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000051517
    Omri, F ben N. Weighted Statistical Testing Based on Active Learning and Formal Verification Techniques for Software Reliability Assessment. KIT Scientific Publishing, 2018. DOI: https://doi.org/10.5445/KSP/1000051517
    Omri, F. ben N. (2018). Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000051517
    Omri, Fouad ben Nasr. 2018. Weighted Statistical Testing Based on Active Learning and Formal Verification Techniques for Software Reliability Assessment. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000051517




    Export to:




    Lizenz

    Dieses Buch ist lizenziert unter Creative Commons Attribution + ShareAlike 4.0 Dedication

    Peer Review Informationen

    Dieses Buch ist Peer reviewed. Informationen dazu finden Sie hier

    Weitere Informationen

    Veröffentlicht am 11. Dezember 2018

    Sprache

    Englisch

    Seitenanzahl:

    192

    ISBN
    Paperback 978-3-7315-0472-6

    DOI
    https://doi.org/10.5445/KSP/1000051517