Application of partical swarm intelligence technique to predict software reliability
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- @InProceedings{Shanthi:2017:ICICCS,
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author = "D. Shanthi and R. K. Mohanty and G. Narsimha and
V. Aruna",
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title = "Application of partical swarm intelligence technique
to predict software reliability",
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booktitle = "2017 International Conference on Intelligent Computing
and Control Systems (ICICCS)",
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year = "2017",
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pages = "629--635",
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month = jun,
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/ICCONS.2017.8250539",
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abstract = "Predict software program reliability turns into a
completely huge trouble in these days. Ordinary many
new software programs are introducing inside the
marketplace and some of them dealing with failures as
their usage/managing is very hard. and plenty of shrewd
strategies are already used to are expecting software
program reliability. In this paper we're giving a
sensible knowledge and the difference among those
techniques with my new method. As a result, the
prediction fashions constructed on one dataset display
a extensive decrease in their accuracy when they are
used with new statistics. The aim of this assessment,
SE issues which can be of sensible importance are
software development/cost estimation, software program
reliability prediction, and so forth, and also
computing its broaden computational equipment with
enhanced power, scalability, flexibility and that can
engage more successfully with human beings.",
-
notes = "Also known as \cite{8250539}",
- }
Genetic Programming entries for
D Shanthi
Ramakanta Mohanty
G Narsimha
Varanasi Aruna
Citations