SOFTWARE PERFORMANCE PREDICTION USING RANDOM FOREST BASED REGRESSION ANALYSIS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 10
Abstract
The evaluation of various software quality metrics like performance, reliability, and response time are done usingquantitative techniques and it is essential for component based software applications. In this paper the performanceof the software application is predicted using regression analysis. In general, the trend analysis technique isemployed to predict the performance of the software system. The proposed method in this paper will help theusers of the software system to predict whether it satisfies their requirements for a set of features selected by them.The performance of the software gets vary based on the features selected by the users. The features may interactwith other feature and degrade the overall performance of the system. The performance prediction is carried outusing the Random forest which is capable of handling thousands of input variables without deleting the variables.Also it offers an experimental method for the detection of the feature interactions.
Authors and Affiliations
R. Sathya*
Keywords
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- EP ID EP138982
- DOI 10.5281/zenodo.160860
- Views 46
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