FAULT-PRONE COMPONENTS IDENTIFICATION FOR REAL TIME COMPLEX SYSTEMS BASED ON CRITICALITY ANALYSIS | Zendy

D. Jeyamala | Zendy; S. Balamurugan | Zendy; A. Jalila | Zendy; K. SABARI NATHAN | Zendy

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FAULT-PRONE COMPONENTS IDENTIFICATION FOR REAL TIME COMPLEX SYSTEMS BASED ON CRITICALITY ANALYSIS

Author(s) -

D. Jeyamala,

S. Balamurugan,

A. Jalila,

K. SABARI NATHAN

Publication year - 2014

Publication title -

international journal of computer science and informatics

Language(s) - English

Resource type - Journals

ISSN - 2231-5292

DOI - 10.47893/ijcsi.2014.1174

Subject(s) - criticality , failure mode, effects, and criticality analysis , computer science , reliability engineering , software , coding (social sciences) , identification (biology) , component (thermodynamics) , engineering , mathematics , statistics , botany , biology , physics , nuclear physics , programming language , thermodynamics

Generally, complexity of Software affects the development and maintenance Cost. The Complexity of the software increases, when the number of Components increase, among these components, some are more critical than others which will lead to catastrophic effects on field use. Hence, it is needed to identify such critical components after coding to test them rigorously. In this paper, we presented a novel approach that helps to identify the critical components in the software based on Criticality Analysis. Criticality Analysis analyzes the critical value of each component based on their Sensitivity and Severity metrics. KeywordsSoftware Testing, Critical Components, Software Metrics, Criticality Analysis, Software under Test (SUT), Sensitivity and Severity analysis

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