Reliability analysis based on losses from failure Modelling

Abstract

As the cost of software application failures grows and as these failures increasingly impact business performance, software reliability will become progressively more important. Employing effective software reliability engineering techniques to improve product and process reliability would be the industry’s best interests as well as major challenges. As software complexity and software quality are highly related to software reliability, the measurements of software complexity and quality attributes have been explored for early prediction of software reliability. Static as well as dynamic program complexity measurements have been collected, such as lines of code, number of operators, relative program complexity, functional complexity, operational complexity, and so on. The complexity metrics can be further included in software reliability models for early reliability prediction, for example, to predict the initial software fault density and failure rate.

Authors and Affiliations

Dr. Amit Gupta , Renu Garg

Keywords

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  • EP ID EP130883
  • DOI -
  • Views 97
  • Downloads 0

How To Cite

Dr. Amit Gupta, Renu Garg (2013). Reliability analysis based on losses from failure Modelling. International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(6), 1983-1986. https://europub.co.uk/articles/-A-130883