Application of fuzzy time series in prediction of time between failures &; faults in software reliability assessment |
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Authors: | S Chatterjee S Nigam J B Singh L N Upadhyaya |
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Institution: | 1.Department of Applied Mathematics,Indian School of Mines,Dhanbad,India |
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Abstract: | Since last seventies, various software reliability growth models (SRGMs) have been developed to estimate different measures
related to quality of software like: number of remaining faults, software failure rate, reliability, cost, release time, etc.
Most of the exiting SRGMs are probabilistic. These models have been developed based on various assumptions. The entire software
development process is performed by human being. Also, a software can be executed in different environments. As human behavior
is fuzzy and the environment is changing, the concept of fuzzy set theory is applicable in developing software reliability
models. In this paper, two fuzzy time series based software reliability models have been proposed. The first one predicts
the time between failures (TBFs) of software and the second one predicts the number of errors present in software. Both the
models have been developed considering the software failure data as linguistic variable. Usefulness of the models has been
demonstrated using real failure data. |
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Keywords: | |
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