Visible to the public Application of partical swarm intelligence technique to predict software reliability

TitleApplication of partical swarm intelligence technique to predict software reliability
Publication TypeConference Paper
Year of Publication2017
AuthorsShanthi, D., Mohanty, R. K., Narsimha, G., Aruna, V.
Conference Name2017 International Conference on Intelligent Computing and Control Systems (ICICCS)
ISBN Number978-1-5386-2745-7
KeywordsAnt\_Colony Optimization Technique, Artificial neural networks, Bio\_inspired Computing, composability, control systems, genetic programming, Neural networks, partical swarm intelligence technique, Particle Swarm Intelligence Technique, particle swarm optimisation, particle swarm optimization, pubcrawl, Software, software cost estimation, Software development, software program reliability prediction, software reliability, swarm intelligence, Swarm Intelligence technique
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.

URLhttps://ieeexplore.ieee.org/document/8250539/
DOI10.1109/ICCONS.2017.8250539
Citation Keyshanthi_application_2017