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ARTÍCULO
TITULO

OBJECT ORIENTED PROGRAMMING ACCURACY PREDICTION USING UNBIASED ITERATION PARTICLE SWARM OPTIMIZATION (UIPSO)

Kirti Dubey    
Vivek Sharma    

Resumen

In this paper an object oriented programing accuracy prediction system has been proposed based on unbiased iteration particle swarm optimization (UIPSO). First the object oriented modules have been uploaded in the framework then it is categorized in different k-modules. According to the user choice it is selected. The selected module is then tested by chi-square test and if qualifies then checked by software quality metrics like FM, OR and P. Finally the accuracy is calculated based on UIPSO. The obtained results show that the results are outperforms from the previous method in terms of accuracy and error rates.

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