NDLI: A UML Model Based White Box Reliability Prediction to Identify Unreliable Components

Content Provider	IEEE Xplore Digital Library
Author	Daeeui Hong Taewan Gu Jongmoon Baik
Copyright Year	2011
Abstract	In general, existing reliability analysis techniques have a limitation in that they normally require run-time information to assess a software system's reliability. So, reliability analysis has been delayed until system testing or operation where principal design decisions had been already made. Also, they normally focus on estimating the reliability of the whole system rather than finding out unreliable sources or components. In this paper, we propose a UML model based white box reliability prediction methodology. The proposed methodology provides the capability of reliability prediction in the early phase by utilizing design artifacts like UML model, and by analyzing the probability of failure in three different levels of the system. Hence, it makes possible to rank the unreliable parts of the system quantitatively not only at the component level but also at the user's system usage level and system's activity level. In order to validate the proposed method, we performed a case study with safety-critical embedded software and compare the results with traditional reliability models. The result of proposed methodology shows the better prediction accuracy as well as the more detailed analysis of the unreliable part of the system.
Starting Page	152
Ending Page	159
File Size	768651
Page Count	8
File Format	PDF
ISBN	9781457707810
DOI	10.1109/SSIRI-C.2011.30
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-27
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Component based reliability UML model White-box Reliability Model Unified modeling language Architecture based reliability Software reliability prediction Probability Predictive models Software Software reliability Insulin
Content Type	Text
Resource Type	Article

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