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SREPT: Software Reliability Estimation and Prediction Tool

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Book cover Computer Performance Evaluation.Modelling Techniques and Tools (TOOLS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1786))

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Abstract

Although several tools have been developed for the estimation of software reliability, they are highly specialized in the approaches they implement and the particular phase of the software lifecycle in which they are applicable. Also the conventional techniques for software reliability evaluation, which treat the software as a monolithic entity are inadequate to assess the reliability of heterogeneous systems. We present here, our tool called Software Reliability Estimation and Prediction Tool (SREPT), that offers a unified framework containing techniques (including the architecture-based approach) to assist in the evaluation of software reliability at several phases of the software lifecycle.

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Author information

Authors and Affiliations

  1. Center for Advanced Computing and Communication Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708-0291, USA

    Srinivasan Ramani & Kishor S. Trivedi

Authors
  1. Srinivasan Ramani
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  2. Kishor S. Trivedi
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Editor information

Editors and Affiliations

  1. Department of Computer Science, RWTH Aachen, 52056, Aachen, Germany

    Boudewijn R. Haverkort  & Henrik C. Bohnenkamp  & 

  2. Performance Engineering Services Division, MS 110, L&S Computer Technology, Inc., P.O. Box 9802, Austin, TX, 78766, USA

    Connie U. Smith

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© 2000 Springer-Verlag Berlin Heidelberg

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Ramani, S., Trivedi, K.S. (2000). SREPT: Software Reliability Estimation and Prediction Tool. In: Haverkort, B.R., Bohnenkamp, H.C., Smith, C.U. (eds) Computer Performance Evaluation.Modelling Techniques and Tools. TOOLS 2000. Lecture Notes in Computer Science, vol 1786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46429-8_31

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  • DOI: https://doi.org/10.1007/3-540-46429-8_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67260-9

  • Online ISBN: 978-3-540-46429-7

  • eBook Packages: Springer Book Archive

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