The Selection of Best Fit Model Involving Corelation in Examination with QQ Plot

Modern software systems need to independently adapt their conduct at runtime in order to keep their software in reaction to continuous environmental changes. Most research on models at runtime focus on imparting appropriate strategies to manipulate the complexity of software program at runtime in any case, disregard unwavering quality brought about by model activities. Therefore, adaptive behaviors might also additionally result in a lower in reliability, which might bring about severe financial loss. This research study is mainly targeted on the development of error-free, reliable, and effective software product by following the aforementioned practices. To examine the data or information, one must first understand what is higher to finish with the appropriate model. Choosing the right model is certainly not a basic race, and there are different strategies. This research study has proposed a quantified measure "correlation factor" varies with a QQ plot to show its utility in selecting the excellent suit model for the data present among many models.