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Many existing software reliability models are based on some subjective assumptions those could be easily impractical in reality. Genetic Programming(GP for short) does not need some subjective assumption due to the basic characteristic of the data. Also, this method doesn't require to understand the inherent processes for failures, but to create models based on the given data for a "true"...
To solve the problems of the incongruence of software reliability models and cast off the traditional models' multi-subjective assumptions, this paper adopts genetic programming evolution algorithm which has adaptive genetic operators (for short AGP) to establish software reliability model based on software failure time series. The individual of the population is according to the case of the fitness...
The paper takes advantage of unascertained theory described in the subjective cognition uncertainty, and then applies blind number to describe the uncertainty of the software failure process as well as comes up with a new software reliability model based on blind number theory (BM Model for short). The practical calculations shows the BM Model embodied the characters of simply, small account of calculation...
At present, most of software reliability models have to build on certain presuppositions about software fault process, which also brings on the incongruence of software reliability models application. To solve these problems and cast off traditional models' multi-subjective assumptions, this paper adopts genetic programming (GP) evolution algorithm to establishing software reliability model based...
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