A Novel Safety Metric SMEP for Performance Distribution Analysis in Software System

Publication Type:

Book Chapter

Source:

Strategic Engineering for Cloud Computing and Big Data Analytics, Springer International Publishing, Cham, p.51-61 (2017)

ISBN:

978-3-319-52491-7

URL:

https://doi.org/10.1007/978-3-319-52491-7_3

Keywords:

Department of Information Science and Engineering

Abstract:

Focusing on safety attributes becomes an essential practice towards the safety critical software system (SCSS) development. The system should be error free for a perfect decision-making and subsequent operations. This paper presents an analysis on error propagation in the modules through a novel safety metric known as SMEP, which can be characterized depending on the performance rate of the working module. We propose a framework for the analysis of occurrence of error in various modules and the intensity of it is quantified through probabilistic model and universal generating function technique.