NDLI: Markov Reliability Model Based on Error Classification

Content Provider	IEEE Xplore Digital Library
Author	Yi Jin Luo Xun Luo Ping Yang GuangYu
Copyright Year	2012
Abstract	Traditional Markov reliability model used to predict the total number of errors in the software and the failure interval, but did not consider the impact of the severity of the error. However, in some cases, such as software trustworthiness, we must consider not only the total number of software errors and failure interval, but also consider the severity of the error on the impact of the credibility of software. Both in the traditional reliability studies, to consider the impact of the severity of the error, the cost of software development budget or duration of the forecast is very important. Based on the reliability of the traditional Markov model, we introduce the thought of classification of errors into the traditional model, the availability of a new mathematical model of reliability, the reliability of the Markov model is a special case of the model. Using the new model can predict not only the total number of errors in the software and the failure interval, but also can predict the total number of each type of error and failure types, the test indicates a good accuracy, which is the traditional Markov reliability model can not predict.
Starting Page	224
Ending Page	231
File Size	284162
Page Count	8
File Format	PDF
ISBN	9781467345668
ISSN	21683034
DOI	10.1109/PAAP.2012.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-17
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Markov process Error classification Software trustworthiness Markov processes Predictive models Software Severity Software reliability Mathematical model Equations
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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