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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

The State of the Art in Software Reliability Prediction: Software Metrics and Fuzzy Logic Perspective

verfasst von : S. W. A. Rizvi, V. K. Singh, R. A. Khan

Erschienen in: Information Systems Design and Intelligent Applications

Verlag: Springer India

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Abstract

Every day a bulk of software are developed by industries to fulfill the customer and user requirements. Definitely, it has increased the facilities but on the other hand it also increase the probability of errors, faults, failures and also the complexity in the system that subsequently reduces the understandability of the software, make the software more error prone, highly complex and less reliable. As reliability in software based systems is a critical issue, its prediction is of great importance. In this paper, the state of the art in Software Reliability prediction has been presented with two perspectives; Software Metrics and Fuzzy Logic. The overall idea of the paper is to present, analyze, investigate and discuss the various approaches as well as reliability prediction models that are based on either reliability relevant metrics or Fuzzy Logic or both. At the end, paper presents a list of critical findings identified during literature review of various prediction models.

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Vorheriges Kapitel Task Scheduling Algorithms with Multiple Factor in Cloud Computing Environment
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Metadaten
Titel
The State of the Art in Software Reliability Prediction: Software Metrics and Fuzzy Logic Perspective
verfasst von
S. W. A. Rizvi
V. K. Singh
R. A. Khan
Copyright-Jahr
2016
Verlag
Springer India
Buch
Information Systems Design and Intelligent Applications

Print ISBN: 978-81-322-2753-3

Electronic ISBN: 978-81-322-2755-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-81-322-2755-7_65

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