Application of partical swarm intelligence technique to predict software reliability

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@InProceedings{Shanthi:2017:ICICCS,

• author = "D. Shanthi and R. K. Mohanty and G. Narsimha and V. Aruna",
• title = "Application of partical swarm intelligence technique to predict software reliability",
• booktitle = "2017 International Conference on Intelligent Computing and Control Systems (ICICCS)",
• year = "2017",
• pages = "629--635",
• month = jun,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ICCONS.2017.8250539",
• 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