Software quality prediction using different software metrics
Asif Ali, Kavita Choudhary, Ashwin Sharma · JIMS8I - International Journal of Information Communication and Computing Technology · 2016
This paper provides mathematical implications of software quality prediction using different software metrics. We have considered object oriented module as the dataset. The data used for the experimentation have class, object, inheritance and dynamic behavior. The data modularity considered for this work is 11–20. The software quality predictions are applied after the chi-square test. If the modules qualify the chi-square test then those modules are selected for software metric analysis. This testing is based on the object oriented parameters like inheritance, class, reference and run time binding. It will provide us the probability distribution values. Then F-measure (FM), Power (PO) and Odd Ratio (OR) are applied for the quality analysis based on the metrics passed. We have presented mathematical implications with all the steps for the calculation and determine the modularity with the help of above software metrics.