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Software Reliability Based on Software Measures Applying Bayesian Technique

  • Anitha Senathi
  • Gopika Vinod
  • Dipti Jadhav
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 381)

Abstract

Safety critical systems such as nuclear power plants, chemical plants, avionics, etc., see an increasing usage of computer-based controls in regulation, protection, and control systems. Reliability is an important quality factor for such safety critical digital systems. The characteristics of such digital critical systems are explicitly or implicitly reflected by its software engineering measures. Therefore, these measures can be used to infer or predict the reliability of the system. Hence Software Engineering measures are the best indicators of the software reliability. This paper proposes a methodology to predict software reliability using software measures. The selected measures are used to develop Bayesian belief network model predict reliability of such safety critical digital systems.

Keywords

Software reliability model Bayesian belief network Software engineering 

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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Ramrao Adik Institute of TechnologyMumbai UniversityMumbaiIndia
  2. 2.Bhabha Atomic Research CentreMumbaiIndia

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