Software reliability model by AGP
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- @InProceedings{Zhang:2008:ieeeICIT,
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author = "Yongqiang Zhang and Jingjie Yin",
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title = "Software reliability model by AGP",
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booktitle = "IEEE International Conference on Industrial
Technology, ICIT 2008",
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year = "2008",
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month = apr,
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pages = "1--5",
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keywords = "genetic algorithms, genetic programming, SBSE, AGP
algorithm, Armored Force Engineering Institute,
adaptive genetic operators, genetic programming
evolution algorithm, sigmoid curve, software failure
time series, software reliability model, software
testing, program testing, software reliability",
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DOI = "doi:10.1109/ICIT.2008.4608638",
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abstract = "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 of the generation to adjust
the probability of crossover and mutation by the
sigmoid curve. By evaluating the data series of the
software testing case in Armored Force Engineering
Institute, the results sufficiently testify that the
new AGP algorithm has better applicability and the
validity of fitness and forecasting. Moreover, compared
with standard genetic programming evolution algorithm,
the new AGP algorithm has the better rapidity of
convergence. Therefore, we can say that, this algorithm
can be more effectively applied to software testing and
ensured the validity of data.",
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notes = "Also known as \cite{4608638}",
- }
Genetic Programming entries for
Yongqiang Zhang
Jingjie Yin
Citations