A Systematic Literatures Review of Impact of Quality Measurement of Object Oriented Software Design Environments

computer science

This paper describes the results of a study where the impact of Object-Oriented design on software quality characteristics is experimentally evaluated. A suite of metrics for OO design called MOOD was adopted to measure the use of OO design mechanisms. Data collected on the development of eight small-sized information management systems based on identical requirements was used to assess the referred impact. The results obtained in this experiment show how OO design mechanisms like inheritance, polymorphism, information hiding and coupling influence quality characteristics such as defect density and rework. Predictive models based on OO design metrics built in this study are also presented. Software errors are removed during different stages in the software development. Software metrics are used to measure the performance of software like cohesion, coupling, polymorphism, inheritance etc. These parameters help to provide the quality measurement, software maintain, fault detect prediction of the software. In the past, the static metrics were measured to predict the size and complexity of the software and it was successful but it didn’t provide the run time parameter value. So, the dynamic metrics are executed to predict the cost estimation, defect prediction, etc. Fault prediction helps developers to reduce the error effectively in less time.

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